AI-Enabled Potato-Blight Detection
Low altitude high-resolution multispectral imagery enables the use of Machine-Vision and Machine-Learning (AI) techniques, separating the brown Blight from the green leaves and the earth-brown. Resolution of sub 0.5mm per pixel, resulting from imagery acquisition from 3m altitude above the crop, enables detection of distinctive multispectral signatures of pests, diseases and nutrient deficiencies.
High Altitude NDVI
Agrowing's narrow bands,high-resolution, high dynamic-range sensors, produce the most detailed NDVI maps one can expect. Such detailed NDVI (and similar metrics) maps, are essential for spotting stressed and outlying areas of the field, at an early stage.
Spotting various degrees of blight is demonstrated in this potatoes test-field. The imagery was acquired from 100m altitude using Agrowing's R10C based sensor with NDVI lens.
The Invisible Revealed
The progression of Black Sigatoka in Banana leaves, and HLB in Citrus, is invisible at early dates.
Analyzing high-resolution multi-band multispectral data of wide dynamic-range, enables machine-detection of the invisible.