In an effort to enhance the crop yield production and farmer income, a government agriculture department wanted to create an advanced agricultural platform using multiple technologies including IoT, communication networks, big data and artificial intelligence, to empower farmers of all sizes to increase their bottom line and optimize processes and decisions where needed.
The initiative was completely new and required multiple levels of approvals with validation of the features and methodologies proposed even within the client’s internal processes. It required the integration of different types of data sets including real time data, mapping data, agricultural data from multiple different sources, primary data that needed to be collected across different zones within the state, types of crops during different cropping seasons, weather related information, demographics, soil information and many more data sources. The data collection and data validation was of tremendous importance to ensure an effective outcome. Additionally, the farmers also had their reservations with respect to the new initiatives as they were unsure of how their information would be used and whether it would actually provide any benefits.
How We Are Making An Impact
The Deepspatial platform helped integrate the various datasets and produced AI-driven insights which helped the department in calculating the evapotranspiration and crop water requirements, groundwater level, irrigation water requirements and much more. The platform’s AI-driven insights highlighted crucial parameters affecting the yield of the selected crops in real-time like maintaining soil pH level, checking soil temperature and moisture levels, and the life cycle of crops. Additionally, the platform produced insights and solutions for protecting crops from diseases by taking preventative measures and identifying them as soon as possible to prevent their spread.
Deepspatial platform helped the client create a unique agricultural platform that allowed them to use all the technologies including IoT, Big Data, Technology Enabled Maps, Artificial Intelligence and Interdisciplinary Sciences. Deepspatial’s platform rendered them with detailed plans for the entire water requirements in crops & irrigation across all the 4 seasons on a 10 day level advance forecasting with an accuracy of over 98%. This helped in maintaining the correct level of water to the crops at the right time ensuring not only cost savings but also a higher yield. There were multiple additional features such as crop acreage, crop yield predictions, groundwater predictions, Machine Learning based crop classification, etc., which were incorporated into the system to ensure a farm level visibility for the department. Multiple cross functional factors like literacy, healthcare, environmental & other requirements were shared as actionable insights to the client for getting a holistic view which helped them in planning and furtherance of the improvement in production & additional income for the farmers.