Computer Vision & Deep Learning Facilitates Precision Agriculture

Client Background

• The client is a leading chemical manufacturing company based in US. The company works with farmers and governments to monitor and improve crop production.
• The client wanted to harness power of remote sensing and satellite image processing to compute crop phenology mapping and farm boundaries to optimize costs and manpower.

Xoriant Solution | Key Contributions

• Selection of right satellite data sources and right bands of data for processing to achieve the optimum cost to accuracy ratio.
• Processing data from 2 different satellite data sources – farm boundaries detected data from Bing maps and assessed crop phenology with data from Sentinel-2 satellite

Key Benefits

• 90% reduction in the use of offline sensors for phenology computation
• 90% reduction in manual effort in farm boundary data collection