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Nileworks has developed a system centered around drone sensing and image analysis technologies to precisely and rapidly analyze crop morphology. The system is structured as follows:
1.Digitalization of Farms and Test sections: High-precision surveying solutions are used to digitally map farm fields and test sections.
2.Automated Drone Path Generation: Based on the survey data, the path generation software automatically creates flight paths for drone sensing.
3.High-Speed, High-Precision Sensing: proximal drone sensing rapidly captures high-resolution images with visual-level accuracy.
4.Comprehensive Crop Analysis: Image analysis AI is used to assess crop appearance and morphology, meeting diverse crop analysis needs ranging from growth monitoring of grains and vegetables to disease and weeds detection.
Seed Production
Test field
(evaluate pesticides, etc)
Production field
Drone sensing and AI discriminate between crops and weeds for detection. Significantly reduces measurement time in herbicide evaluation trials.
Count strawberries by maturity level from videos taken with a smartphone. Yield prediction based on data, rather than relying solely on empirical values, is made possible.
Nileworks' unique crop phenotyping technology can be applied to direct-seeded rice cultivation.
You can also use proximity sensing and AI to optimize sowing of seedlings, and analyze and improve seedling establishment rates.
Nileworks unveiled Phenotyping Survey System - WAGRI(*) Open Day 2024 -
Unique 'Crop Drone Sensing x AI Image Analysis' Technology presented at the Tokyo Institute of Technology Super Smart Society Promotion Forum