One example of precision agriculture application. Specially trained neural network recognize individual pumpkins, detect their position and count their number.
Artificial Intelligence algorithm was trained to recognize different features: pomegranate fruits, leafs, soil and segment the video.
Machine learning segmentation of algae under water. One can estimate the areas occupied by algae under water even flying by drone above water.
Specially trained neural network recognize individual plants, detect the missing or unhealthy plants, estimate distances between them and creates the visual map.
Artificial intelligence algorithm can detect individual poppy flowers, segment the field and estimate a damage to the field created by an animal.
Automatic segmentation of problematic zones with the drone
Drone photo and consequent machine learning analysis reveal problem plants and detect their position
Segmentation of unaffected, partially burned and totally burned trees with their detected positions.
Corresponding area classification.