Cropin Intelligence: powering the future of food with AI

The world’s largest deployed AI platform for food and agriculture — The only agri-food tech platform to build intelligence across 1 billion acres of the world’s cultivable land.

Cropin has delivered multiple industry firsts in AI for food systems—including the world’s first real-time GenAI-powered agri-intelligence platform, a Micro Language Model (µ-LM) for climate-smart agriculture, and 22+ custom-built AI models.
Built on over 15 years of agronomic expertise, 40+ years of weather history, and deep contextual data from 103+ countries, Cropin Intelligence empowers stakeholders across the value chain to make timely, informed decisions— Whether it’s a food retailer managing surety of supply, a seed company tracking crop variety performance, a CPG company predicting yields to secure its supply chain, or a government responding to food security risks—Cropin delivers the intelligence to drive resilience, precision, and growth.

Leading the AI Revolution in Agriculture

Cropin Intelligence is not just shaping the future; it is actively building it. From computing over a billion acres of farmland to launching groundbreaking AI platforms, Cropin is at the forefront of agri-food innovation.

Intelligence built across 1B+ acres of croppable land

Our AI engine has processed and analyzed over 1 billion acres of cultivable land globally, providing unprecedented visibility into agricultural ecosystems. By transforming multi-source data into actionable insights, we help enterprises implement effective strategies and drive operational efficiency, including advanced precision farming solutions.

Introducing an enterprise-grade generative AI

We introduced the first enterprise-grade generative AI platform for food systems, setting a new benchmark for intelligent agriculture. This innovative platform allows stakeholders to query complex agricultural data, forecast outcomes, and receive personalized recommendations that improve productivity, resilience, and decision-making.

Cropin AI Labs- driving the future of agri innovation

For nearly a decade, Cropin AI Labs has been the industry’s most advanced agri-AI R&D group. By pioneering 22+ custom AI models, the lab handles some of agriculture’s biggest challenges, from crop health monitoring to predictive analytics, driving continuous innovation across the agri-food ecosystem.

Cropin’s solutions for AI-powered intelligent agriculture

In an era of climate change, geopolitical conflicts, supply chain disruptions, and growing consumer demand for sustainably produced food, AI-powered intelligent production, sourcing, and supply are no longer optional, they’re a necessity for agri-food businesses.
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Real-time GenAI agri-platform that simplifies decision-making

Plot Level Intelligence

Accurate forecasts on yield, crop stage, health, water stress, pests, and diseases

Regional Intelligence

AI models that analyze soil, weather, satellite, and yield data for deep agriculture insights

Transforming multi-source data into measurable outcomes for food and agri-enterprises

Seed-to-shelf traceability

Seed-to-shelf traceability

We provide end-to-end visibility from farm to fork. Monitoring crops at every stage to ensure quality, authenticity, and compliance. Agri-businesses and food enterprises across the world confidently manage their supply chains, respond quickly to operational challenges, and maintain transparency for partners and consumers alike.

Climate and agronomic intelligence

Climate and agronomic intelligence

By analyzing weather, soil, and agronomic data, we deliver actionable climate insights. Farmers and enterprises can adapt practices to seasonal variability, reduce environmental risks, and implement smarter interventions that improve crop resilience and resource efficiency with climate-smart agriculture.

Crop and field management

Crop and field management

Our platform enables real-time monitoring of fields and crops, helping agri businesses optimize input usage, track growth stages, and improve productivity. Detailed field intelligence allows stakeholders to identify issues early and implement practices like variable rate technology (VRT) in precision farming.

Predictive supply chain planning

Predictive supply chain planning

With predictive analytics, we forecast yields up to 45 days in advance. This enables enterprises to plan logistics, storage, and distribution efficiently, reducing waste and ensuring timely delivery of produce to meet market demand and maintain supply chain resilience.

Smart compliance and certification monitoring

Smart compliance and certification monitoring

We digitize regulatory and certification requirements, allowing enterprises to monitor compliance in real time. This ensures adherence to standards, avoids penalties, and builds trust with partners, retailers, and regulators across the agri-food ecosystem.

Cropin’s sustainability solution

Cropin’s sustainability solution

Deploy our sustainable agriculture technology that offers a suite of advanced features to remotely track tillage, monitor cover crop, carbon footprint, and deforestation.

Satellite monitoring

Satellite monitoring

By combining satellite imagery with geospatial analytics and implementing AI for agriculture, our solutions provide insights into crop health, soil conditions, and environmental factors. Enterprises can monitor large-scale operations remotely, implement strategic measures, and optimize resource allocation efficiently.

Sustainability and ESG intelligence

Sustainability and ESG intelligence

Our tools track sustainability and ESG metrics, helping agri enterprises align operations with environmental and social responsibility goals. Data-driven insights support eco-friendly practices, carbon footprint reduction, due diligence, risk management, and more. Our digital Monitoring, Reporting, and Validation (dMRV) offers transparent reporting for stakeholders and investors.

Regional heatmaps and predictive zoning

Regional heatmaps and predictive zoning

We generate regional heatmaps for yield, risk, and climate trends. Predictive zoning guides crop planning, irrigation scheduling, and input allocation. Enterprises can manage large geographies effectively while minimizing losses and improving productivity across diverse regions. This insight is vital for production diversification decisions.

BI dashboards

Our customized BI dashboards present complex agronomic and operational data intuitively. Stakeholders can visualize trends, monitor KPIs, and make decisions instantly. Centralized dashboards enhance collaboration and streamline reporting for farms, enterprises, and supply chain managers.

Integration with ERP & farm management systems

Integration with ERP & farm management systems

Our solutions seamlessly integrate with existing ERP and farm management systems, allowing enterprises to unify data, automate workflows, and streamline decision-making. This integration provides a single-dashboard view, operational consistency, improves reporting, and enhances productivity across the agri-food value chain.

Key benefits for our customers

Cropin AI enables agri-food businesses to decode the past, analyze the present, and predict the future of food. That’s the power of AI – compressing decades of technological progress into years, or even months!

Brands we have helped

Pre-trained AI models for prediction & data intelligence

We continuously invest in and refine domain-specific foundation models to enhance predictive insights and enable smarter, data-driven decisions for agri-businesses.

Crop detection models

Crop detection models

Crop detection models utilize our proprietary crop knowledge grid to identify crop areas and estimate production at country, county, or plot levels. This enables farmers and enterprises to optimize resource allocation, improve planning, and make targeted operational decisions across their agricultural operations.

Nitrogen uptake models

Nitrogen uptake models

Nitrogen uptake models monitor plant nutrient absorption throughout growth stages. By providing real-time insights, enterprises can optimize fertilizer use, reduce environmental impact, and support sustainable practices, ensuring crops receive nutrients when and where they need them.
Water stress models

Water stress models

Water stress models track crop water requirements across locations and growth stages. By offering accurate irrigation recommendations, these models help farmers conserve water, improve crop performance, and maintain field productivity efficiently, reducing both operational costs and environmental strain.
Disease models

Disease models

Disease models provide early alerts for potential pest and pathogen outbreaks. Real-time monitoring allows farmers to implement timely preventive measures, reduce crop losses, and protect overall crop health through proactive management strategies.

Crop progress models

Crop progress models monitor growth stages from planting to harvest, giving farmers and enterprises actionable insights on development. This enables timely interventions, improves yield outcomes, and ensures smooth management of farm operations and resources.
Yield forecast models

Yield forecast models

Yield forecast models estimate harvest timelines and expected output. By analyzing historical and current data, enterprises can plan storage, logistics, and supply chain operations more efficiently, reducing waste and ensuring predictable delivery of produce.
Deforestation models

Deforestation models

Deforestation models track land use changes and monitor forest cover using satellite and geospatial data. This helps enterprises and governments identify environmental risks, implement conservation measures, and make thoughtful decisions for sustainable land management.
Carbon models

Carbon models

Carbon models assess biomass and estimate net carbon sequestration. Insights from these models support sustainability initiatives, environmental reporting, and climate-smart farming practices, enabling enterprises to track and improve their ecological impact responsibly.
Climate resilience sourcing

Forest fire models

Using AI in agriculture, forest fire models detect wildfires and stubble burning early, providing rapid alerts. This allows farmers and authorities to take preventive actions, protecting forests and surrounding ecosystems from damage while mitigating potential losses.

Case studies

Frequently asked questions

What makes Cropin Intelligence different from other agri-tech platforms?
In the last 15 years, the Cropin platform has undergone multiple iterations, offering intelligence across 1 billion acres in 103+ countries. We combine deep agronomic expertise, near real-time field data, AI innovation, and multiple global datasets to deliver scalable, real-time intelligence, purpose-built for agriculture.

Our models are trained on extensive, multi-source datasets and continuously validated to deliver high accuracy, reliability, and performance in diverse geographies and crop conditions.

Yes, Cropin platform can standardize global operations while accommodating regional nuances. We localize our models using region-specific data, allowing us to support a wide range of crops, climates, and regulatory environments globally. Our platform is available in multiple regional languages.

We support food retailers, seed producers, CPG brands, governments, and insurers and any organization that depends on agricultural visibility, forecasting, and risk mitigation.

Most clients begin seeing actionable insights within weeks. Our platform is designed for quick integration and rapid time-to-value across multiple use cases.

Unlock the future of food with AI

Power your agri-business’s future with Cropin’s solutions. Get AI-driven insights for measurable and sustainable agriculture success!

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