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## Posts

- [Posts](https://cropanalytics.net/posts/)

## Pages

- [Enabling Crop Analytics at Scale](https://cropanalytics.net/) - Enabling Crop Analytics at Scale ENABLING CROP ANALYTICS AT SCALE (ECAAS) is a multi-phase initiative that aims to catalyze the development, availability, and uptake of agricultural ground and remote sensing data and applications in smallholder production systems. Learn more about us here. We encourage organizations working in the crop analytics landscape to participate in our
- [Agricultural Data Platforms](https://cropanalytics.net/data-platforms/) - Agricultural Data Platforms Within each of the below links users can find repositories of agricultural data and statistics which can be used as ground truth training data. In the long term, it is our intention to explore bridging these and other repositories through a common search function to make finding a geo-specific dataset as easy
- [About Us](https://cropanalytics.net/about-us/) - About Us Unlocking the Potential of Satellite-based Data and Analytics for Smallholder Farmers The Enabling Satellite-based Crop Analytics at Scale (ECAAS) Initiative was designed as the first phase of a multi-phase project to catalyze the development, availability, and uptake of agricultural remote-sensing data and subsequent applications in smallholder farming systems. The first phase was funded
- [Podcast](https://cropanalytics.net/dirt-on-data-podcast/)
- [Latest News](https://cropanalytics.net/in-the-news-2/) - Latest News ECAAS has concluded in December 2023, and we will update this site when we have more information about future work. Earth Day: Partnering for Our Planet Tetra Tech showcased how their projects, including ECAAS, are investing in agricultural resiliency and sustainability around the world. READ MORE AGRILINKS Blog Post: Advancing Crop Analytics Tetra
- [Events](https://cropanalytics.net/events-calendar/) - Events ECAAS has concluded in December 2023, and we will update this site when we have more information about future work. Past Events World Agri-Tech Innovation Summit 2022 In-Person and Virtual Conference | San Francisco | March 22-23, 2022 World Agri-Tech Innovation Summit has become the annual meeting place for the global agtech ecosystem. Growers,
- [Research Findings](https://cropanalytics.net/research-findings/) - Research Findings The AGData Acceleration Facility invests in innovations and partnerships to catalyze the improved collection, processing, storage, and use of ground-truth data, targeting key bottlenecks and technical challenges that inhibit the large-scale collection of ground-truth datasets and their use. This page contains all outputs from the ECAAS AGData Acceleration Facility research. ECAAS Phase 1
- [Optimizing Crop Yield Data](https://cropanalytics.net/optimizing-yield-data/) - Optimizing Crop Yield Data Collection for Supply Chain Enhancement Collecting high-quality crop data is expensive, but is paramount to improving policies and programs that can dramatically benefit smallholder farmers in numerous ways, especially by enhancing supply chains. The NASA Harvest Program at the University of Maryland along with their partners collected high-quality datasets to capture
- [Tools](https://cropanalytics.net/data-tools/) - Tools for Data Standardization As the applications of AI and machine learning in crop analytics become more readily accessible to public and private sector actors, the need for a core set of standardized ground truth data is growing. While a number of organizations have developed effective tools for the collection of in-field ground truth data, no generic and standardized tools exist on
- [Datasets for Crop Monitoring](https://cropanalytics.net/crop-monitoring-datasets/) - Enhanced Agriculture Datasets for Remote Crop Monitoring The lack of labeled crop datasets represents a significant challenge for crop analytics. Pula Advisors and partner organizations will create and augment labeled remote sensing and field datasets during the growing season and at harvest time in Kenya and Zambia. The project will apply machine learning models to
- [Technical Advisory Group](https://cropanalytics.net/technical-advisory-group/) - Technical Advisory Group The ECAAS Technical Advisory Group works to identify major technical challenges and opportunities in advancing crop analytics for smallholder farmers and provides input and guidance on technical requirements and priority areas for innovation including data capture, standards, privacy and ownership, and sharing and interoperability. The Technical Advisory Group contributes to technical reports,
- [Field Boundary Detection](https://cropanalytics.net/field-boundary-detection/) - Creating Training Dataset and ML Model to Detect Field Boundaries from Satellite Imagery Without proper collection, curation, and preparation, data collected on the ground can often lack the details and standards required for use in ML modeling, resulting in a gap in applications, particularly in agricultural monitoring. Radiant Earth Foundation and IDinsight collected data on
- [Our Team](https://cropanalytics.net/our-team/) - Our Team Richard Choularton - Senior Technical Advisor Richard Choularton has more than 20 years of experience in food security, agriculture, ag-tech, resilience, humanitarian assistance, risk management and finance, insurance, climate change adaptation, disaster risk reduction, and social protection. Mr. Choularton brings this experience to bear as Senior Advisor for ECAAS, leading technical design and strategic collaboration.
- [Streamlining Data Collection](https://cropanalytics.net/streamlining-data-collection/) - Streamlining Ground-Truth Data Collection using Drones and Machine Learning A key challenge for the crop analytics community is generating accurate ground-truth data rapidly and at a low cost. This project will assess the potential for using drone imagery in Rwanda to create faster and less expensive ground-truth datasets for crop and yield estimate models without
- [AGData Acceleration Facility](https://cropanalytics.net/ag-data-acceleration-facility/) - Agricultural Ground Data (AGData) Acceleration Facility The AGData Acceleration Facility leverages recent advances in crop analytics that integrate remote sensing and other data using artificial intelligence (AI) and machine learning (ML)with the goal of making these tools available to public, private, and research actors working to support smallholder farmers to improve their productivity, resilience, and
- [Creating Open Agricultural Maps](https://cropanalytics.net/cropland-mapping/) - Creating Open Agricultural Maps and Groundtruth Data to Better Deliver Farm Extension Services This project aims to help improve agricultural extension services for African smallholder farmers while providing a scalable, sustainable model for generating open agricultural maps and ground-truth data. This goal will be achieved by combining: 1) an agricultural extension team equipped with an
- [Open-Source Frameworks](https://cropanalytics.net/open-source-maps/) - Open-Source Framework for Crop Type Mapping in Africa While earth observation (EO) data is a powerful tool in support of improving food security, it is limited by the lack of a systematic, end-to-end approach based on a scalable and sustainable open data infrastructure. The goal of this project is to create an open-source framework that
- [Scalable Agriculture Data](https://cropanalytics.net/scalable-agriculture-data/) - Scalable Agriculture Data through Conversational Farm Record Keeping 6th Grain has the long-term goal of increasing yields and income for all farmers in Africa. To achieve this, they plan to greatly expand the agronomy advice and input availability information for growers. They will improve growers’ ability to determine if seeds and other inputs used have resulted in
- [Crop Analytics Use Cases](https://cropanalytics.net/use-case-map-2/) - Crop Analytics Use Cases Crop analytics underpin a variety of applications and services for actors across the value chain, from digital extension and advisory services to tailored lending products to improved subsidy allocation. To demonstrate impact and sustainability, the first phase of the ECAAS initiative is driven by three use cases, chosen for their potential
- [Stakeholder Database](https://cropanalytics.net/stakeholder-database/) - Stakeholder Database The ECAAS Stakeholder Database contains a list of nearly 200 organizations working in agricultural ground data collection, processing, sharing, use, and application. The database compiles information on a variety of aspects of an organization’s work, including primary activities, geographic coverage, role in the data chain, service level, use cases, data and technologies utilized,
- [ECAAS Network](https://cropanalytics.net/ecaas-network/) - ECAAS Network The ECAAS initiative is leveraging a network-based approach to help realize the potential of remote sensing to sustainably improve smallholder livelihoods at scale. We operate within the ecosystem of private, public, and civil society actors already working at the intersection of crop analytics and smallholder production to catalyze technologies, processes, and partnerships that improve the
- [Innovative Agricultural Data Collection](https://cropanalytics.net/agdata-exchange/) - Innovative Agricultural Ground Data Collection and Exchange Ecosystem High quality and timely geospatial data can fuel various types of public good projects and at the same time, support products in the commercial sector. The missing piece of the puzzle is a data ecosystem that a) allows both open-access and commercial licensing of the data and
- [Crop Analytics Data Chain](https://cropanalytics.net/data-chain/) - Crop Analytics Data Chain Advances in ML/AI-based crop analytics present opportunities for more informed and accurate decision-making for a range of actors from smallholder farmers to policymakers. The process of transforming raw data to actionable insights for end users involves many steps from collection, to processing, storage and sharing, to analytics, to use, and back
- [Data Standards](https://cropanalytics.net/data-standards/) - Data Standards Massive volumes of agricultural data are collected each year. These data hold incredible value for improving smallholder-focused crop analytics, however, this value is currently locked away due to issues of data quality, interoperability, and accessibility stemming from a lack of consistent, widely adopted standards for agricultural data. A primary focus of ECAAS’ work
- [Conference Reflections](https://cropanalytics.net/in-the-news/) - ICTforAg Reflections The ECAAS team participated in two conferences in March, the ICTforAg virtual conference and the World AgriTech summit held in San Francisco, CA. The conferences allowed the team to network with experts in the agriculture and technology ecosystem and expand the community committed to capturing and sharing ground-truth training datasets for agricultural applications.
- [Next-Gen Crop Production Analytics](https://cropanalytics.net/next-generation-crop-production-analytics/) - Next-Generation Crop Production Analytics Pilot This project leverages cutting-edge remote sensing and geo-statistical techniques to address the dual issues A new two-stage crop production analytics approach piloted in this project leverages cutting-edge satellite remote sensing and geo-statistical techniques to address the dual issues of inefficient ground-truth sampling design and inaccurate in-field crop yield measurement methods.
- [Strategic Advisory Group](https://cropanalytics.net/strategic-advisory-group/) - Strategic Advisory Group The Strategic Advisory Group’s primary role is to provide strategic input into the ECAAS project with a focus on guiding the development of the Roadmap and Business Plan for Phase 2 of the initiative. The Strategic Advisory Committee also helps to leverage existing and new networks between projects and organizations focused on
- [ECAAS Advisory Groups](https://cropanalytics.net/advisory-groups/) - ECAAS Advisory Groups The ECAAS Advisory Groups provide strategic and technical guidance to the initiative and consist of representatives from leading organizations in the space. Strategic Advisory Group The Strategic Advisory Group provides guidance for the long-term planning and implementation of the current ECAAS initiative as well as direction-setting for potential future stages. Recognizing that
- [Contact Us](https://cropanalytics.net/contact-us/) - Contact Us
- [Webinars and Blogs](https://cropanalytics.net/webinars-and-blogs/) - Webinars and Blogs
- [Add Stakeholder Data](https://cropanalytics.net/stakeholder-form/) - Please enable JavaScript in your browser to complete this form. Organization * Description Geographic Coverage (Country)Select A CountryAfghanistanAfricaAlbaniaAlgeriaAngolaArgentinaArmeniaAsiaAustraliaAustriaAzerbaijanBangladeshBelgiumBeninBhutanBoliviaBotswanaBrazilBulgariaBurkina FasoBurundiCabo VerdeCambodiaCameroonCanadaCentral African RepublicChadChileChinaColombiaComorosCosta RicaCote d'IvoireCroatiaDenmarkDjiboutiDominican RepublicDemocratic Republic of the CongoEcuadorEgyptEl SalvadorEnglandEquatorial GuineaEritreaEthiopiaFalkland IslandsFijiFinlandFranceGabonGalapagos IslandsGambiaGeorgiaGermanyGhanaGuatemalaGuineaGuyanaHaitiHondurasHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKingdom of SwazilandKingdom of LesothoKyrgyz RepublicLaosLebanonLesothoLiberiaLibyaMadagascarMalawiMalaysiaMaliMauritaniaMauritiusMexicoMoldovaMongoliaMoroccoMozambiqueMyanmarNamibiaNepalNetherlandsNew ZealandNicaraguaNigerNigeriaNorth KoreaNorth MacedoniaNorwayPakistanPalestinePanamaPapua New GuineaParaguayPeruPhilippinesPolandPortugalRomaniaRussiaRwandaSaharawi Arab Democratic RepublicSao Tome and PrincipeSaudi ArabiaSenegalSeychellesSierra LeoneSingaporeSolomon IslandsSomaliaSouth AfricaSouth KoreaSouth SudanSpainSri
- [Research Lessons Learned](https://cropanalytics.net/research-lessons-learned/)
- [ECAAS Innovation](https://cropanalytics.net/ecaas-innovation/)
- [Stakeholder Landscape Analysis](https://cropanalytics.net/stakeholder-landscape-analysis/)
- [Sample Page](https://cropanalytics.net/sample-page/) - This is an example page. It's different from a blog post because it will stay in one place and will show up in your site navigation (in most themes). Most people start with an About page that introduces them to potential site visitors. It might say something like this: Hi there! I'm a bike messenger

## Events

- [Global Yield Gap Atlas](https://cropanalytics.net/events/global-yield-gap-atlas/) - The Global Yield Gap Atlas (GYGA) is an online global database platform containing locally-relevant data on untapped crop production potential (yield gap) and agronomic data (soil, crop management systems) of the world's key crops. This webinar will provide an introduction to GYGA and a forward look at the future of the platform. The event will

## Episode

- [Episode 7 - Agrimetrics](https://cropanalytics.net/podcast/episode-7-agrimetrics/)
- [Episode 6 - Farmerline & Clark University](https://cropanalytics.net/podcast/episode-6-farmerline-clark-university/)
- [Episode 5 - Rabobank](https://cropanalytics.net/podcast/episode-5/)
- [Episode 4 - FAIR](https://cropanalytics.net/podcast/episode-4/)
- [Episode 3 - Radiant Earth](https://cropanalytics.net/podcast/episode-3-radiant-earth/)
- [Episode 2 - 6th Grain](https://cropanalytics.net/podcast/episode-2-6th-grain/)
- [Episode 1 - Pilot](https://cropanalytics.net/podcast/episode-1-pilot/)

## Podcasts

- [The Dirt on Data](https://cropanalytics.net/series/the-dirt-on-data/)