
1 minute read
Azure Data Manager for Agriculture Solutions
Although technology could help the farmer, its adoption is limited because the farms usually do not have power, or Internet connectivity, and the farmers are typically not technology savvy. We are working towards an end-to-end approach, from sensors to the cloud, to solve the problem.
Our goal is to enable data-driven farming. We believe that data, coupled with the farmer’s knowledge and intuition about his or her farm, can help increase farm productivity, and also help reduce costs. However, getting data from the farm is extremely difficult since there is often no power in the field, or Internet in the farms.
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As part of the FarmBeats project, we are building several solutions to solve these problems using low-cost sensors, drones, and vision and ML algorithms.
This Microsoft Intelligent Data Platform connects diverse farm data, enabling accelerated development of digital agriculture solutions. Users can assess farm health via vegetation and water indices from satellite imagery and receive advice on soil moisture sensor quantity and placement.
Sensor-collected data visualizes farm conditions, while satellite and sensor data fusion creates a detailed soil moisture map. AI/ML models built atop these aggregated datasets generate actionable insights. These capabilities can boost your existing digital agriculture solution or form the basis for a new one.
