Cropin

AI-powered Agricultural Sustainability Solution

Cropin Cloud is a comprehensive suite of tools and features designed to support and enable organizations in adopting and navigating sustainability measures. Powered by agri-sciences and AI/ML it empowers all agri- and business stakeholders make well-informed data-driven decisions to drive and enforce sustainability practices across the entire value chain.

Features:

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Easy-to-deploy sustainability solutions for a greener tomorrow

Rooted in agri-sciences and powered by remote sensing and artificial intelligence

  • Monitor Deforestation/Afforestation with Land Use & Land Change (LULC) Models

Use our LULC models to distinguish between forest and agricultural land. Track plot encroachment into nearby forest land (or vice versa), and amount  of encroachment over a specific configurable duration. Flag deforestation for each plot by LULC category and acreage of deforestation.

  • Assess Cover Crops with Cover Crop Monitoring Models

Detect and monitor the growth of cover crops during off seasons. Get duration and termination dates of cover crops with our cover crop monitoring models. Use insights from the model data to design farm guidelines such as boundary trees, crop rotation, mulching etc. to increase crop residue and long-term climate resilience.

  • Capture Forest Aboveground Biomass (FAGB) details with FAGB Models

Get insights into the presence of FAGB from our FAGB models powered with radar satellite imagery at specific time intervals. The model also calculates predicted biomass and difference in Mg/ha.

  • Enforce Irrigation Practices with Irrigation Advisory Models

Quantify water usage by crop at a plot-level with crop-specific irrigation advisory models which also account for soil moisture and precipitation. Broadcast advisories to farmers on schedules and amount of irrigation to prevent wastage and rot.

  • Track Irrigation Practices with Water Stress Models

Monitor plot irrigation practices and water stress with Land Surface Water Index (LSWI) index on plot maps. The index is computed through hypertuned parameters based on multiple geos and crop knowledge graphs related to crop stage.

  • Regulate Pesticide Use with Disease Early Warning System (DEWS) Model

Stop and regulate preventive pesticide spraying schedules with predictive disease and pest intelligence from the DEWS model. Using historical data and weather forecasts, the model computes the probability of disease occurrence by date. Being hyper-tuned to the disease resistance of crop varieties within a crop family, it reduces pesticide consumption, thereby enhancing yield quality and conserving soil health.

  • Schedule fertilizer spray with Crop Health Models

Validate and schedule timely spraying of fertilizers based on plant nitrogen uptake and Normalized Difference Red Edge (NDRE) index. With optimal fertilizer usage you can conserve soil pH levels while maintaining plant health

  • Analyze Tillage impact with hypertuned Tillage Assessment Models

Monitor tillage occurrence and operations by date to track farmer activities. Our tillage assessment models are hypertuned to your tillage policy to quantify its impact on soil health and the plot’s carbon quantity

  • Configure Weather Advisory for Farmers

Get weather trends and predictions for any plot or geography on temperature, precipitation, humidity, and wind speed. Use updates and insights on weather deviations to plan your farming operations and configure alerts for farmers with agronomy advisory to adapt to changing weather conditions.

  • Propel Seed Research with Climate Data

Use climate data and insights on climate change over time as inputs in your seed research and breeding to develop climate-resilient and disease-resistant crop varieties.

  • Customize dashboards per your business requirements

Adapt our sustainability dashboards to your goals and practices. Get a holistic overview of data, intelligence, programs & partners in one place to manage & monitor target based progress in real time, such as percentage reduction in carbon footprint or water usage, etc.

  • Get industry and crop variety specific insights

Our agri-models are hypertuned to multiple geos, crop varieties, and crop stages to ensure modular tracking of key ground level data, water usage, carbon levels, soil health & nutrient, supported with detailed drill-downs throughout the reporting hierarchy.

  • Integrate data from 3rd party sources for enhanced reporting and insights

    Use APIs to send data from 3rd part party apps such as drones, IoT devices and other agri-data sources into Cropin Cloud. Process incoming data pipelines with pre-built advanced data frameworks and utilize the power of unified data to surface significant insights and value for your business.

Digital revolution for a sustainable business

Integrated agriculture cloud powered by agri-science and artificial intelligence

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Dive into our case studies to witness the impact of our solutions

Gebana

Gebana partnered with Cropin to enable farmers produce quality yield and deliver certified organic produce in Europe.

Loacker

Loacker implemented Cropin Cloud to digitize their farms while driving sustainability to improve the livelihood of smallholder farmers in Italy.

Food & beverage producer

A leading F&B producer deployed Cropin Intelligence to manage its potato value chain across multiple regions in Asia.

Take the first step to a greener tomorrow

Get a demo of the capabilities of Cropin Cloud in enforcing sustainable agri-practices and helping you achieve the sustainability goals of your business.