USE CASE Activity Review Accelerating Agronomy@Scale The Problem Typical investments in agronomy R&D have not resulted in widespread yield improvements in smallholder farms. Our Solutions We will modernize agronomy through Use Cases that respond to real demand from both public and private scaling partners and are backed by a globally organized and efficiently operated R&D community. Why Our Solution is Better EiA’s new model and research culture delivers agronomic gain (at scale) by aligning with stakeholder priorities that support improved productivity and profitability while also increasing resource use efficiencies, rehabilitating soil health, enhancing produce quality, and delivering climate change adaptation. Our Traction EiA has attracted funding from more than 5 organizations that support international agricultural R&D and generated interest from at least 100 public and private research and scaling institutions. Our long-term vision Our vision is to deliver agronomic gain for millions of smallholder farming households by 2030 in prioritized farming systems of the Global South. Contents Cohort I Use Case Portfolio Overview ..................................................................... 2 Use Cases DSRC Cambodia ............................................................................................................... 5 Planting Date South Asia .............................................................................................. 7 Ghana GAIP ........................................................................................................................ 9 Digital Green Ethiopia .................................................................................................... 11 Gvt LatAm (Mexico, Peru & Colombia) ........................................................................ 13 Fertilizer Ethiopia ............................................................................................................. 15 SAA Nigeria ........................................................................................................................ 17 Gvt Egypt ............................................................................................................................ 20 Use Case Activity Plan 1 I. Cohort I Use Case Portfolio Overview Cohort I Use Cases (Incubation Phase) have been under implementation for just under 12 months. A progress review of these Use Case Activity Plans and incor- poration of Scaling Readiness strategic recommendations was conducted with Use Cropping calendar advisories Web-based advisory for Case teams in two-hour virtual sessions. for smallholder maize farmers in-season yield potential & and extension agents in the water productivity of irrigated A full review of the Use Case activity plans Guinea Savannah zone wheat-based systems as measured against the agreed parame- ters contained in the 7-Step process and committed to by Use Case teams at the start of the Use Case. The review provided a status update on the development of the MVPs, data infrastructure, tool valida- tion, and dissemination activities. Co-development of digital solutions to deliver fertilizer A total of 8 of the active Use Cases and time of planting advice (Cohort I), have been assessed using for rice, maize, and cassava the CGIAR Scaling Readiness protocol. Use Case teams had opportunity to give feedback on the strategic recommenda- tions and how these would be incorpo- rated into revised activity plans. In attendance were Use Case leaders, their local agronomy teams, demand partners as well as TRANSFORM, DE- LIVER and Scaling Readiness teams. Smart farming systems at the local level: Sustainability assessment and targeted data-driven recommendations for smallholder farmers 2 Excellence in Agronomy Co-development of targeted Co-development of agronomy Optimizing productivity, fertilizer advisory services to and climate advisory tools for profitability and environmental improve NUE, reduce cost and high yielding and high quality sustainability using mechanized enhance productivity wheat production and precise direct-seeded rice Managing time in the rice- based cropping systems of South Asia Central West Asia & North Africa South East Asia & Pacific South Asia Latin America & Caribbean West & Central Africa East & Southern Africa Use Case Activity Plan 3 A set of strategic recommendations were made which require consideration by the entire Use Case implementing teams. This includes the demand partner, participating CGIAR centres, and DELIVER & TRANFORM representatives. 4 Excellence in Agronomy MVP Development • ASR also interviewed service providers USE CASE: Evidence-based collaboratively designed scaling DSRC Cambodia strategy for mechanized DSR & locally tailored Prototype Development & Commitment agronomy: The Demand Partners are deploying and testing the • Evidence-base for mechanized DSR & tailored technology. Partner Designation: agronomy • GDA is leading the Cambodia component of FAO- • Ex-post studies and business diagnostics of DSR project NARS Partner service providers inform ex-ante adoption analysis • IRRI provides technical insights and regional • Developing digital solutions to drive service sharing of information (Use of Scaling Strategy) Tool Category: provision brokering though market dashboard • ASR is testing new units of Eli seeder from BB2C, with agronomy data new KPIs and shared protocol has been discussed • Evidence-base for modifications & adaptation of • Experiment has started for the dry season Agri R&D and Product Development mechanized DSR seeder • CAVAC has been continuing to raise the profile of mechanized DSR in Cambodia Target Farming System: Data & Tools • Varied seeder models currently commercialized or A. From selected survey and experiment datasets, being tested. Rice processed the key variables and sent to GYGA team. (90%) MVP Validation Crops: • Yield gap analysis on-going Validation experiments have started. • Meta-analysis study: measuring field size for • Joint experiments in Battambang and Prey Veng robust estimation of farmer yields have been started to serve as a learning tool for Rice farmers, to observe mDSR and for feedback on B. Completed analysis from 2020 WS experiments machine design. Demand Partner(s) (farmer diary data), Collected data from 2021 • Activities for gender-informed design have also experiments [Kobo collect] (80%) been incorporated. • The team has incorporated the EiA shared C. Completed survey (N=473) from 3 provinces on protocol for minimal set of data collected. adoption constraints, mDSR performance, practices and yield, for ex-post analysis [Surveybe](80%) MVP Piloting • 34% non-users and 21% dis-adopters Activities to be implemented (Dec 2021-Jun 2022) CGIAR Centers • Data being cleaned for factors affecting yield and • Continue yield gap analysis, generate tailored profits recommendations, draft extension materials. • Complement: ASR implemented survey on • Continue validation experiments and gender- adoption in Battambang related activities. • Use service provider data, result from business D. Completed 4 workshops on ADOPT tool (100%) diagnostic, ex-post survey analytics, agronomic trials, and extension materials to: E. After service provider scoping survey (geolocation, • Build the dashboard. service type), on-going business diagnostic survey of • Draft the scaling strategy. service providers [Kobo collect] (30%) • Draft publications. Use Case Activity Plan 5 Cohort I Use Case Annual Reviews DSRC Cambodia | 29.11.2021 Name Affiliation Designation EiA Role Country Donna Casimero IRRI Core Team Agronomist Core Team Philipines Rica Flo IRRI Innovation Systems DSRC Cambodia Cambodia Kong Kea Department of Ag Cambodia Director of Rice DSRC Cambodia Cambodia Siyabusa Mkuhlani Core Team Data Scientist Core Team Paula Shirk AgriSmart (Brooklyn Bridge 2 Cambodia) CEO DSRC Cambodia USA Tim Krupnik CIMMYT Systems Agronomist DSRC Cambodia Bangladesh Aminou Arouna Africa Rice - EiA Core Team Impact Assessment Economist Core Team Cote d'Ivoire Sor Nguon , AGI AgriSmart Innovation MD DSRC Cambodia Cambodia Murat Sartas - B EiA Scaling Readiness Innovation Scientist Core Team Prakashan (IRRI) IRRI Agric Economist DSRC Cambodia India Brendan Brown (CIMMYT) CIMMYT Social Scientist DSRC Cambodia Nepal • First draft of meta-analysis paper completed. (and partner-developed) equipment.Experiment be integrated into the scaling strategy. • Evidence- based on mechanized DSR and spatially with ASR, PDAFF to test and compare tailored agronomy. performance (different equipment, different locations). Scaling Activities • Document performance feedback from farmers MVP is only one component of the broader and service providers. mechanism type innovation (mDSR), but also • Share with partners, extension staff and service encompasses other components. providers. Main bottleneck is Equipment service workflow (also Gender Integration: identified to be crucial in ADOPT workshops) • Ensure benefits to women, or prevent negative impacts. Recommendation from Scaling Readiness Report: • A gender-informed re-design of existing seeders • Document and share performance of equipment. alongside tailored agronomy. • Test various alternatives. • Insights from women, from survey (e.g. ex-post) • Outsource the validation. and qualitative methods. • Women’s willingness to pay. The accessibility of Aside from our planned targets for the MVP: the technology and service providers to women. • Continue to track from commercially available • Feedback on the technologies and services will 6 Excellence in Agronomy USE CASE: MVP Development etc. Planting Date MVP Design • C ross validation with field data, experiment data ‘Convergence’ platform led by JEEViKA and BAU was (CSISA and other projects). Series of stakeholder South Asia accomplished (single window agro-advisory). workshops (JEEViKA convergence platform) – 2 core meetings in a year. Partner Designation: Data & Tools Data MVP Piloting NARS Partner All the data have been acquired except: Field verification trials: • Weather forecast information (need additional • Through the convergence platform (10 clusters, 100 Tool Category: budget) farmers) • Data on gender decisions is currently being • Test the planting date advisory and validate on collected landscape through JEEViKA’s farmer network - Precision Farmer Advisory 1,000 farmer plots (50% are women farmers). Tools • R CT experiment to test the impact of planting date Target Farming System: • A rc GIS for geospatial analytics. advisory • D SSAT/APSIM for crop simulation modelling. • Survey of a list of farmers from JEEViKA network Rice – Wheat • R/STATA software for spatial and other data (~1000 treatment + ~800 control). analytics. Crops: • C API tools for survey data collection (Kobo, Scaling Activities Surveybe). • Prototype is being tested. • C onvergence platform led by JEEViKA and BAU Rice Wheat Prototype Development & Commitment has wide network of farmers. Prototype developed on planting date for Rice-wheat • I FFCO (IKSL) has well established infrastructure for Demand Partner(s) system. Four criteria decision frameworks based on: largescale disseminating of advisories via SMS and • Monsoon IVR. • Irrigation • Risk preference In the next period: • Varietal duration • Traveling seminars and harvest festivals will be conducted at the selected validation plots 24 scenarios created • Feedbacks will be collected. CGIAR Centers • Initial prototype is developed. Presented and • T he key results of household survey and validation obtained demand Partners Commitments trials will be reported. • KPIs are integrated through RCT and field • The feedback loop, and survey and field trial results demonstrations. will be used to make necessary adjustment in MVP prototype. MVP Validation • These results will also be shared with Convergence Decision framework validation: Platform members for consensus development. • E x ante simulation using rich data on production, • Weather forecast data generation and integration to irrigation, weather, RS based information (crop planting date algorithm for Dynamic advisory. phenology), gender, other socio-economic variables • Full scale deployment of advisory service will be Use Case Activity Plan 7 Cohort I Use Case Annual Reviews Asia Name Affiliation Designation EiA Role Country Donna Casimero IRRI Core Team Agronomist Core Team Philipines Bernard Vanlauwe EiA Core Team ORGANIZE Lead Core Team Kenya Siyabusa Mkuhlani EiA Core Team Data Scientist Core Team Kenya Anil Kumar JEEViKA Programme Manager Use Case Support India Medha Devare EiA Core Team TRANSFORM Lead Core Team France Aminou Arouna Africa Rice - EiA Core Team Impact Assessment Economist Core Team Cote d'Ivoire Anton Urfels CIMMYT Water and Landscape Expert Use Case Support Nepal Panneerselvam CIMMYT Agronomist Use Case Support India Vikram Patil IRRI Agric Economist Use Case Support India Virender Kumar IRRI Agronomist Use Case Lead India Ram Kanwar Malik CIMMYT Rice-Wheat Systems Expert India Sugandha Munshi IRRI Gender Specialist Use Case Support India Prakashan Veettil IRRI Agric Economist Use Case Support India Murat Sartas EIA Scaling Readiness Innovation Scientist Core Team Turkey Dr. R.K. Sohane, BAU Bihar Agric University Demand Partner Demand Partner India planned. includes data on the involvement, influence, and benefits of different sexes. Scaling Readiness: • Gendered decisions are considered right from The team agreed with the recommendations to look at development of MVP to scaling (developing, testing, short term loop dynamics, improving gender sensitive validating, feedback and scaling). agronomy decision making models, and optimization of • Gender decision modules included in the survey the digital agro advisory and extension platform. – adapted version of WEIA, gendered access modules, labour, vignette, etc. Gender Integration: • Both male and female decision makers of the HHs • A meta review report/paper – in progress (gender are being interviewed. inclusive agro-advisory services). • Gender disaggregated data is being collected that 8 Excellence in Agronomy USE CASE: Ghana GAIP Partner Designation: Agri-finance and Risk Mitigation Provider Tool Category: Financial Risk Mitigation Target Farming System: Cereal-Root Mixed Rainfed System Crops: MVP Development Prototype Development & Commitment MVP Design Team has incorporated the following KPIs: Bundled Advisory Services Kits for • Y ield at field/plot level (kg/ha/season) Maize Enabling Transformation Solutions in Agronomy • Y ield Variability Changes (%) (BASKETS-A) • S oil retention at plot level (tons/ha/season) Demand Partner(s) • S easonal soil moisture storage (mm/m) Data & Tools • N et income at plot level ($/kg/ha/season) Data • Input per ha at plot level The team has a compilation of all the data sets that they • C apacity to access information. (Household) are accessing and utilizing. In this regard they have been • All the indicators are being measured and CGIAR Centers accessing data from Vandersat , WeatherImpact and also in modelled. conversations with Agrimetrics. MVP Validation Tools Validation trials have been rolled out based on: • A rc GIS for geospatial analytics. • Transect studies (with and without) ALLIANCE • D SSAT/APSIM for crop simulation modelling. • T argeting on KPIs: Yield, yield variability, soil health • R /STATA software for spatial and other data analytics. and net income • C API tools for survey data collection (Kobo, • K ASA: Knowledge attitude Skills and Aspirations Surveybe). • Access to Weather Impact API algorithms • Sex disaggregated population data • B ASKETS-A Dissemination • Gender sensitive tool for overall sampling • F ront end tool for web publishing • Access to Weather Impact API algorithms • Back-end for capturing user feedback (interactive) Use Case Activity Plan 9 4 KASA BASKETS Categories 3 Field preparation and layout Cropping calendar exposure 2 Good Agronomic practices 1 Usefulness of ICT messages Soil and Water Conservation 0 Before After Before After Before After Before After BASKETS BASKETS BASKETS BASKETS BASKETS BASKETS BASKETS BASKETS Knowledge Skills Attitude Aspirations Cohort I Use Case Annual Reviews Ghana GAIP Name Affiliation Designation EiA Role Country Meklit Chernet EiA core team Data scientist Core Team Kenya Theresa EiA Core Team Monitoring and Evaluation Specialist Core Team Kenya Bernard EiA Core Team ORGANIZE lead Core Team Kenya Ntiamoah Nana Yaw Obeng Degas Ghana Limited Operations Manager Demand Partner Ghana Siyabusa Mkuhlani EiA Core Team Data scientist Core Team Kenya Arega Alene IITA Agricultural Economist Use Case support Malawi Fred Kizito CIAT Scientist Use Case Support Ghana Medha Devare EiA Core Team TRANFORM lead Core Team France Aminou Arouna Africa-Rice-EiA Core Team Impact Assessment Economist Core Team Cote d'Ivoire Francis Muthoni IITA GIS Specialist Use Case Support Tanzania Mandlenkosi Nkomo EiA Core Team DELIVER lead Core Team Kenya Sam Mathu EiA Core Team EiA Core Team Core Team Kenya Murat Sartas EIA Scaling Readiness Innovation Scientist Core Team Turkey 10 Excellence in Agronomy Farmer Evaluation Scores MVP Development 6 Kebeles, and in Lemo district 4 Kebeles. USE CASE: 3 Components Digital Green Ethiopia • Onset of rains and planting date The criteria were as follows: • Wheat Rust Surveillance • Major wheat growing areas • Fertilizer Recommendation • Where Digital Green operates Partner Designation: • Diverse agroecological zones Data & Tools • Accessibility Digital Platform Manager Soils/agronomy data ecosystem mapping showed that data • Well-established partnerships are in the hands of different individuals and institutions. Tool Category: In response to this, the team formed the Coalition of the The validation exercise indicated that the EiA Willing (CoW) which now includes over 100 members from recommendations delivered better wheat yields: an initial 30. This coalition has ensured that datasets across Local practices: 4700 kg/ha Precision Farmer Advisory Ethiopia were made available in a collaborative manner. Extension: 4900 kg/ha EiA: 5300 kg/ha Target Farming System: As a result of these efforts the Ethiopian government has provided policy support to the CoW efforts. A national workshop is planned for May 2022. Highland Extensive Mixed This support has led to the release of some specific MVP Piloting Crops: guidelines related to data collection, storage, sharing Full piloting will be conducted in 2022, and preparations and usage, creating a good example of FAIRification at a have been made for this process. The model of the pilot national level. is shown below. Wheat National data sharing platforms have been created as a Scaling Activities result. Once feedback is received from the pilot phase, it will Demand Partner(s) be integrated into the prototype and additional piloting Prototype Development & Commitment done until scale is achieved. Strengthened by the ability to acquire data and support from the government, the Use Case team has been able CGIAR Centers to build commitment from various stakeholders. Prototypes for the 3 functionalities have been developed. MVP Validation The recommendations from the combined tools were validated jointly with Digital Green. Four Woredas/districts were chosen in the three major regions. In Siyadebir district 5 Kebeles were chosen. In ALLIANCE Basona district, 3 Kebeles were chosen. In Goba district Use Case Activity Plan 11 Cohort I Use Case Annual Reviews Digital Green Ethiopia Name Affiliation Designation EiA Role Country Madonna Cassimero IRRI WP Lead ORGANISE Core Team Philippines Eduardo Garcia Bendito Core Team Data Scientist _ TRANSFORM WP Core Team Kenya Theresa Ampadu-Boakye Core Team MELIA Lead Core Team Kenya Bernard Vanlauwe Core Team INITIATIVE Lead Core Team Kenya Lulseged Desta Alliance Use Case Facilitator Use Case Team Ethiopia Arega Alene IITA MELIA – Impact Assessment MELIA Malawi Gizaw Desta ICRISAT Use Case Team Use Case Team Ethiopia Murat Sartas Scaling Readiness Scaling Readiness Lead Scaling Readiness Turkey Medha Devare Core Team WP Lead TRANSFORM Core Team France Feyera Liben participant main Demand Partner Ethiopia Kebede Ayele participant main Demand Partner Ethiopia Meklit Tariku Core Team Data Scientist TRANSFORM Core Team France Amsalu Tilaye participant main Demand Partner Ethiopia Wuletawu Abera Alliance Data Scientist -Alliance MELIA Ethiopia Mandlenkosi Nkomo Core Team WP Lead, DELIVER Core Team Kenya Siyabusa Mkuhlani Core Team Data Scientist - TRANSFORM Core Team Kenya Sam Mathu Core Team Initiative Support Core Team Kenya Tesfamicheal Wossen Core Team MELIA – Impact Assessment MELIA Kenya Beza Bogale/Digital Green Digital Green Demand Partner Ethiopia 12 Excellence in Agronomy Data & Tools first analysis of the data collected. Distinguished USE CASE: Progress on acquisition of Data and Tools: most critical potato varieties grown by farmers and Gvt LatAm (Mexico, Peru & Colombia) MVP1: Completed for the prototype – data collection analyzed principal factors that damage potatoes and for detailed agronomic data in Mexico, Peru and essential innovations adopted by farmers. Colombia. Partner Designation: Colombia: FENALCE processing data that are being Working to add i) data management interface with migrated NARS Partner data visualization options; ii) farmer interface with simpler agronomic forms and external site-specific MVP2: circulated first version of roadmap and Tool Category: information (e.g. developing a weather service that received feedback. Also received feedback on uses machine learning and the weather prediction to implemented processes by demand partners. Precision Farmer Agri-Intelligence for Policy provide decision support to farmers) Advisory and Planning MVP Piloting MVP2: completed MVP1: Target Farming System: • On track in Mexico and Peru Prototype Development & Commitment • Some delays in Colombia due to institutional Mixed Maize Irrigated Root Tuber Prototype Development and Obtaining Demand and agreements and data sharing consent, but issues Mexico & Colombia Mexico Peru other Partner Commitments: have been solved. Crops: MVP1: Adjusted system for Peru and Colombia operational since beginning of 2021. MVP2: pilots completed – roadmap sent to design Potatoes Maize team Peru partners: 15/11, CIP participated in meeting with Ministry of Agricultural Development and Irrigation Scaling Activities Demand Partner(s) and informed about Use Case. Ready to Scale Version, Scaling Strategy: MVP1: Constantly improving e-Agrology and adding Colombia partners: FENALCE is committed to migrate new functionality. Also developed version in English data from previous system (SIRIA) to e-Agrology, but for Bihar that will be piloted (bilateral funding). there were issues with institutional agreements and data sharing consent. First version of dataset to be MVP2: Only design is pending, so will be ready in migrated currently under revision of FENALCE. December or January. MVP2: completed first version of roadmap (delivered CIMMYT has received requests from several CGIAR Centers in S2) countries (e.g. Kenya, Pakistan) to work on IASIs. Implementation is pending (and dependent on MVP Validation funding). Prototype Validation: MVP1: Mexico analysis: database curation almost Will share roadmap so others could also implement. completed; first analyses done ALLIANCE Peru: 7/9, CIP meeting with partners to provide the Use Case Activity Plan 13 Cohort I Use Case Annual Reviews - Government LatAm Name Affiliation Designation EiA Role Country Daniel Jimenez Alliance Use Case Team Use Case Team Eduardo Bendito Core Team Data Scientist - TRANSFORM Core Team Kenya Theresa Ampadu-Boakye Core Team MELIA Core Team Kenya Siyabusa Mkuhlani Core Team Data Scientist - TRANSFORM Core Team Kenya Hugo Dorado Alliance Use Case Team Use Case Team Meklit Core Team Data Scientist - TRANSFORM Core Team Kenya Nele Verhulst CIMMYT Use Case Facilitator Regional Team Lead Mexico Daniel Jimenez Alliance Use Case Team Use Case Team Mandlenkosi Nkomo Core Team WP Lead - DELIVER Core Team Kenya David Ramirez CIP CIP Use Case Team Use Case Team Sam Mathu Core Team Core Team Coordination Core Team Kenya Andrea Gardeazabal CIMMYT Use Case Team Use Case Team Juan Camilo Rivera Alliance Use Case Team Use Case Team Murat SARTAS (Ph.D.) Scaling Readiness Scaling Readiness Scaling Readiness Turkey Julian Ramirez-Villegas Alliance Use Case Team Use Case Team 14 Excellence in Agronomy USE CASE: Fertilizer Ethiopia Partner Designation: NARS Partner Tool Category: Precision Farmer Advisory Target Farming System: Dry Rainfed Highland Mixed Crops: Sorghum Teff Wheat Demand Partner(s) MVP Development Content: Site specific fertilizer recommendation for MVP1: (Site specific fertilizer recommendation): wheat, teff, sorghum. CGIAR Centers extension agents at Kebele level and lead farmers Fertilizer recommendation: Clusters/domain MVP2: (Fertilizer recommendation domain): Woreda decision makers and subject matter specialists Data & Tools • 10650+ on-farm plot dataset at 25+ districts (2014- Target Areas: 15 pilot districts in 4 regions 2020) • IFPRI Dataverse OA platform: https://dataverse. Farming Systems: Dry and wet rainfed and mixed harvard.edu/dataset.xhtml?persistentI d=doi:10.7910/ highland DVN/ZXH0R8 ALLIANCE Use Case Activity Plan 15 Cohort I Use Case Annual Reviews Fertilizer Ethiopia Name Affiliation Designation EiA Role Country Madonna Cassimero IRRI WP ORGANISE WP Lead, ORGANISE Philippines Aminou Arouna Africa Rioe MELIA - RCTs RCTs Coordinator Cote d'ivoire Eduardo Bendito Core Team Core Team - TRANSFORM Data Scientist -TRANSFORM Kenya Theresa Ampadu-Boakye Core Team MELIA LEAD MELIA LEAD Kenya Bernard Vanlauwe Core Team Initiative LEAD Initiative LEAD Kenya Siyabusa Mkuhlani Core Team Core Team - TRANSFORM Data Scientist -TRANSFORM Kenya Gizaw Desta ICRISAT Use Case Facilitator Use Case Facilitator Ethiopia Murat Sartas Scaling Readiness Scaling Readiness Scaling Readiness Turkey Kazuki Saito Africa Rioe CoP Lead - KPIs CoP Lead - KPI Japan Meklit Chernet Core Team Core Team - TRANSFORM Data Scientist -TRANSFORM Kenya Ram Dhulipala ILRI CoP Data Analytics Data Scientist -TRANSFORM Mandlenkosi Nkomo Core Team WP Lead DELIVER WP Lead, DELIVER Kenya Anthony Whitbread ICRISAT Focal point Focal Point Tanzania Sam Mathu Core Team Core Team Support Core Team Support Kenya Prototype Development & Commitment 6 Kebeles, and in Lemo district 4 Kebeles. A national workshop is planned for May 2022. Strengthened by the ability to acquire data and support from the government, the Use Case team has been able The criteria were as follows: MVP Piloting to build commitment from various stakeholders. • Major wheat growing areas Full piloting will be conducted in 2022, and preparations • Where Digital Green operates have been made for this process. The model of the pilot Prototypes for the 3 functionalities have been developed. • Diverse agroecological zones is shown below. • Accessibility MVP Validation • Well-established partnerships Scaling Activities The recommendations from the combined tools were Once feedback is received from the pilot phase, it will validated jointly with Digital Green. The validation exercise indicated that the EiA be integrated into the prototype and additional piloting recommendations delivered better wheat yields: done until scale is achieved. Four Woredas/districts were chosen in the three major Local practices: 4700 kg/ha regions. In Siyadebir district 5 Kebeles were chosen. In Extension: 4900 kg/ha Basona district, 3 Kebeles were chosen. In Goba district EiA: 5300 kg/ha 16 Excellence in Agronomy MVP Development pending USE CASE: MVP Design SAA Nigeria Status Update: Prototype Development & Commitment • User Groups: EAs and farmers Prototype • Target Areas: initially, Benue, Kaduna, Kano and • R script available Partner Designation: Kogi, to be scaled to other states for which the 3 • ODK demo for Benue available individual tools are validated • Survey data available to have dry run for FIP with Farmer Supporting NGO • Farming Systems: small holder farmers in mixed farm data (this is no validation) upland/lowland environmentswith substantial rice/ • First validation of key technical components (FR/ Tool Category: maize cassava farming FIP) ongoing • Information Needs: recommendation domains for the 3 tools (AKILIMO, RiceAdvice, NE), weather/ Current KPI Focus Precision Farmer Advisory rainfall data for Nigeria to develop plantingwindows • Yield advice • Profit Target Farming System: • Delivery Format: chatbot • Nutrient use efficiency • Gender Integration:, MVP to be used by female Cereal Root Crop Mixed and male farmers; youth will probably have For second season validations, additional KPIs could be an advantage. This might also be exploited in considered. Depends on the type of required validation Crops: trainingand assistance in accessing the chatbot at (we might need Nutrient Omission Trials…) the community base. FIP Concept & Prototype 1 Rice Cassava Maize Data & Tools Concept of FIP: Data • Combination of the 3 fertilizer recommendation Demand Partner(s) • Fertilizer Recommendation (FR) – component (fertilizer tools (NE, RiceAdvice, AKILIMO) investment prioritization): done • Planting window: rain data, soil grids (depending on • Optimizes fertilizer investmentacross the three approach) commodities for plantingin the same season • Variety choice: list of varieties and key characteristics for all crops Data requirements by crop and target field: CGIAR Centers • Fertilizer: type, cost and amounts to be applied GAP: to be compiled but should be available. Expected produce price • Current yield under current (common) practice Tools Field size • FIP – available but review required • Risk attitude • Planting window: need to decide on approach (rain • Agronomy/management: varieties, plantingtime, fall patter or modelling; models could be CERES plantingdensity, crop establishmentmethod, Maize and OYRYZA; would need workshop with application of organic inputs technical use case ream and Transform • Investment frame for fertilizers if available • Environmental clustering of target area: tool available from Transform but clustering still Data requirements from the individual tools: Use Case Activity Plan 17 Cohort I Use Case Annual Reviews SAA Nigeriaw Name Affiliation Designation EiA Role Country Madonna Casimero IRRI WP Lead ORGANISE WP Lead ORGANISE Philippines Kamaludeen Tijjani IITA Use Case Team Modeler IITA Nigeria idris Garko SAA Nigeria Demand Partner Extesnion Lead SAA Nigeria Aminou Arouna Africa Rice MELIA -RCTs RCT Lead Cote D'Ivoire Eduardo Bendito Core Team Data Scientist- TRANSFORM Data Scientist - TRANSFORM Kenya Siyabusa Mkuhlani Core Team Data Scientist- TRANSFORM Data Scientist - TRANSFORM Kenya Christine Kreye IITA Use Case Facilitator Agronomist Cassava Nigeria Sani Miko SAA Nigeria Demand Partner Country Director SAA Nigeria Bello Muhammad Shehu(BUK) BUK NARS Partner Agonomist CDA-BUK Nigeria Medha Devare Core Team WP Lead TRANSFORM TRANFORM Lead France Abdulrasheed Rashid SAA Nigeria Demand Partner Kano SAA Lead Nigeria Alpha Kamara IITA Use Case Facilitator IITA Agronomist Nigeria Kazuki Saito Africa Rice Use Case Team Focal Point Africa Rice Japan Meklit Tariku Core Team Data Scientist- TRANSFORM Data Scientist - TRANSFORM Kenya Ibrahim Fagge SAA Nigeria Demand Partner SAA Kano Nigeria Ahouanton Kokou Africa Rice Use Case Team Africa Rice Agronomist Senegal Mandlenkosi Nkomo Core Team WP Lead DELIVER DELIVER Lead Kenya Murat Sartas Scaling Readiness Scaling Readiness Scaling Readiness Turkey • Reference yield (AKILIMO, NE) at state, LGA or the individual tools(NE, RiceAvice, AKILIMO) cheapest fertilizers lower resolution level • Consider different target yield per crop = • If a famer requests advice for example for rice and • Site specific yield response at state, LGA or lower different fertilizer rates maize, allocatethe maximum investment to the most resolution level • Consider different types of fertilizers for every profitable crop and make sure minimum amount is • Target yield levels at state, LGA (RiceAdvice, NE) target yield, invested on the least profitable crop. • Investment on individual or group of crops should • Predicted yield responses to fertilizer are estimated Prioritization logic: not exceed the total investmentcapacity against a predicted reference yield • Look-up fertilizer requirements for each crop from • For every crop and target yield, identify the • We use predicted zero fertilizer yields as 18 Excellence in Agronomy reference in our current version of FIP the FIP logic, but need a full analysisof data • Challenge: not clear whether the predicted zero Survey data collected, dry run thru the R script is first (February/March for the cereals) fertilizer yield for rice are applicable pending. Planting window: Advice content of FIP: FR – FIP: • Yet to be developed and decided • Per crop how much of which fertilizer to apply • Predicted yield response to fertilizer – comparing • Time of application with split strategy the yield response of a farmer’s choice fertilizer MVP Piloting • Cost of fertilizer level against an assigned fertilizer level from field Current plan is to collect UX feedback on an ODK • Expected yield and predicted data. version for the next wet season with the SAA-Islamic • Expected profit • First season of validationsplanted, and first Development Bank project in Kano trials harvested MVP Validation • Mimicking the FIP tool in this created too much Scaling Activities FR – FIP Validations: variability, thus a very rough mimic of a farmer Scaling Strategy: using SAA’s frame of farmer learning • Prioritization of the fertilizer investmentacross crops choice approach platforms; we are planningfor an in-person workshop – how often does our tool recommend a different • Insights from trial monitoring and first data to strategize the e-component and integration of distribution of fertilizer investmentfrom farmer’s suggest that a second season of technical additional partners. practice? validation is required. May include adjustmentin Use Case Activity Plan 19 MVP Development bean, is collected and organized to collate with USE CASE: User Groups: spatial data base Gvt Egypt Selected Farmers • Additional data on the Pest and Disease also Farmer Cooperatives collected as part of the recommended package of practices Partner Designation: Target Areas: • These datasets are much finer level @center level Five governorates: Assuit, Sharkia, Beni Suef, Menia, and as compared to previous data at governorate level. NARS Partner Kafr-Elsheik Data sources: Tool Category: Farming Systems: • Ministry of Agriculture and Land Reclamation • Irrigated Wheat System • Committee of Agricultural Pesticides 2020 Precision Farmer Agri-Intelligence for • Mechanized Raised bed technology • Reports Advisory Policy and Planning • Crop rotation with Rec PoP Geospatial Database: Target Farming System: Information Needs: • Egypt boundary 4 administrative levels, as GIS Information on recommended PoP for field level shapefiles. Irrigated Wheat System/Mechanized interventions • Land cover for Egypt from Copernicus Global Land raised bed technology Service as raster data Crops: Delivery Format: • Location of metrological weather stations in Egypt Tables, documents, maps, database as a shapefile. • Soil map of Egypt for the year 1975 Maize Beans Gender Integration: Women participation in all levels Geotagged Photos Demand Partner(s) • GeoAgro pro App based geotagged photos Data & Tools covering areas in 4 selected governorates Data and Tools for the MVP: cultivated with (Wheat, Alfalfa, Faba beans, • About 1200 Soil samples from 10 governorate are Potatoes, onion, Grapes, Sugar cane and some collected and analysed. Intercropping fields. • Additional soil sample data are being analyzed in • Additional Data and Streamlining the lab for the 5 study area governorate. CGIAR Centers • The current farming practices is available by field Area Yield and Production Datasets: survey for field level. • Area, yield and production of seasonal winter crop • The recommended package of practices is available for 2019, as Excel document for wheat and faba bean, for country and regional • Area, yield and production of seasonal summer crop level. for 2019, as PDF document • Updated GeoAgro pro field data collection with • Area, yield and production for wheat from 2012 to recommended package of practices 2019, as Excel document • Area, yield and production for Faba beans from Agronomic Package of Practices (POP): 2017 to 2019, as Excel document • Standard agronomic advisories for wheat and faba • The data is on Egypt governorate level 20 Excellence in Agronomy • Some time the apps shut down suddenly • The mobile was out of battery • Additional information was gathered in separate form • few farmers was not cooperating in providing the data MVP Validation Validation trials have been rolled out based on: • Transect studies (with and without) • Targeting on KPIs: Yield, yield variability, soil health and net income • KASA: Knowledge attitude Skills and Aspirations • Access to Weather Impact API algorithms • BASKETS-A Dissemination • Front end tool for web publishing • Back-end for capturing user feedback (interactive) MVP Piloting Progress on Piloting: Validate and fine-tune the MVP solution with selected 500+ farmers spread over the governates Plus additional 1000+ smallholder farmers in 2021 • Crop area for wheat and for Faba bean for each Excel document Season 1 data collected center of Egypt governorates for the year 2017, Season 2 data planned 2018 and 2019. This set of data on Egypt country level. Climate data: • Daly climate data for Asute abnoub meteoritical Scaling Activities These datasets are at Egypt center level, GIS formats station from 2009 to 2018 Scaling Strategy: • Daily climatic data from 2000 to 2015 and daily • Scale-up MVP solution to over 5,000 in 2022 and Additional Data and Streamlining climatic data from 2010 to 2020 for Sakha weather 15,000 by 2023 station, as Excel documents. • The potential impact with a tailor-made package Cost and net return: of practices leads to saving irrigation water by Publisher: Economic Affairs Sector Monthly climate data for AZ Zankaloun Research at least 20%, Increase the yield by 25%, increase • Cost and net return for winter crops 2019, as Excel weather station from 2018 to 2020, as Excel document resource use efficiency by 25%, reduce farming document cost by at least 20%, reduce seed rate by 50% and • Cost and net return for wheat from 2017 to 2019, as Prototype Development & Commitment increase water productivity by at least 25%, and Excel document Several issues while testing the application at farmers increase crop diversity compared to conventional • Cost and net return for Faba beans 2017 to 2019, as and extension levels at the field conditions: agriculture. Use Case Activity Plan 21 Cohort I Use Case Annual Reviews Government Egypt Name Affiliation Designation EiA Role Country Madonna Casimero IRRI WP Lead ORGANISE ORGANISE Lead Philipinnes Idris ML Jat CIMMYT Use Case Team Use Case Team India Aminou Arouna Africa Rice MELIA - RCTs MELIA RCT Lead Cote D'Ivoire Bernard Vanlauwe Core Team Initiative Lead Initiative Lead Kenya Siyabusa Mkuhlani Core Team Data Scientist- TRANSFORM Data Scientist - TRANSFORM Kenya Christine Kreye IITA Support Group Validations Support Group Validations Nigeria Alaa Mosad ICARDA Use Case Team Use Case Team Egypt Rania Gamal ICARDA Use Case Team Use Case Team Egypt Samir Attia ICARDA Use Case Team Use Case Team Egypt Murat Sartas Scaling Readiness Scaling Readiness Scaling Readiness Turkey Medha Devare Core Team WP Lead TRANSFORM TRANSFORM Lead France Kazuki Saito Africa Rice CoP Lead KPIs CoP Lead KPIs Japan Layal Atassi ICARDA Use Case Team Use Case Team Egypt Mandlenkosi Nkomo Core Team WP Lead DELIVER DELIVER Lead Kenya Sam Mathu Core Team Core Team Support Core Team Support Kenya Vinay Nangia ICARDA Focal Point Center Focal Point Morocco Tesfamicheal Wossen IITA MELIA - Impact Assessment MELIA - Impact Assessment Kenya Chandrashekhar Biradar ICARDA Use Case Facilitator Use Case Facilitator Egypt Mohammed A. El-Shirbeny ICARDA Use Case Team Use Case Team Egypt 22 Excellence in Agronomy EiA’s 2024 Targets • Establishment of at least 20 public and private scaling/demand partnerships that will pilot gender and youth-responsive agronomic solutions targeting at least one million farmers. • At least 75% of research and scaling partners sharing common open and FAIR data, tools, and analytics to support the co-creation of locally relevant agronomic solutions at scale. • Collaboration with at least 5 Advanced Research Institutes and 10 National Agricultural Research Systems to address key knowledge gaps in the agronomy at scale research area. • Decisions on key aspects of EiA’s expanding agronomy-at-scale research portfolio collectively made by CGIAR agronomists and scaling partners based on common learning and objectively obtained information. EiA 2030’s R&D agenda • Sustaining soil productivity: Delivering food, nutrition, and ecosystem services • Integrative water strategies: Managing risks and boosting yield potential within ecosystem limits • Out of the weeds: Addressing weed threats through global goods • Tools of the trade: Operationalizing scale-appropriate mechanization for smallholder agriculture • Diversification for reduced risk: Enabling farm enterprise transitions while minimizing trade-offs • Internal efficiencies: Prioritization, targeting, and intervention design and lean innovation cycles Demand-Driven Delivery Models • Demand partner (public or private) • Active extension network • Support partners specific solution (minimum viable product) • Co-creation process • Turnkey solution for scaling