At Cropt, we are continually innovating and building relationships in the industry while staying true to our mission - empowering our clients to use their data. We are 100% focused on enabling the shift towards more intelligent, data-driven agriculture.
We’ve built the Space Garden platform based on hundreds of thousands of hectares of sample datasets, unparalleled operational experience in diverse environments, and work with advisors, farmers, banks, and insurance companies. The diagnostic and predictive analytics is based on our proprietary machine learning algorithms, leveraging satellite imagery, agronomic models, and weather data.
Cropt provides user-friendly access, quick scalability and a low barrier to entry solution - at the intersection of deep tech and hard science.
We offer a complete and turnkey solution enabling our customers to make smarter decisions on-site and identify any patterns that will increase the profit, decrease the risk, and reduce the ecological footprint of agricultural production - out of every square meter of the field.
Services
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Smart distribution and recommendation of varieties
We combine the records collected from field trials with climate, soil and satellite data to deliver advanced machine learning models. These models simulate the growth of varieties and hybrids and predict their performance in novel environments. In this way the seed company can optimize distribution and recommendation of seeds and reduce the time needed for their development by a third based on AI-driven simulations.
Data-driven field assessment
Having readily available information about particular fields helps banks and insurance companies customize their offers, and reveals the true value of farmland for buyers and tenants. Currently, the assessment of fields is based on statistical data and expert opinion, and rarely considers the actual productivity on the fields. Cropt brings together different pieces of information including soil maps, satellite vegetation indices, and historical climate data, predicts the yield using AI, and estimates the client’s risk, profitability and the expected ROI.
Crop type mapping
Information about the cultivated area of different arable crops is crucial for decision-making regarding procurement, logistics, and distribution of seeds, fertilisers, pesticides, and agricultural products. Using a unique combination of AI and advanced satellite image processing, we can identify the crops planted on each field at a 10m resolution and with an accuracy of >95%.
Custom data-driven service
We combine state-of-the-art machine learning models for crop monitoring, yield prediction and risk estimation to offer a full suite of data-driven services for agri-businesses, seed companies, banks and government institutions.
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