Fuzzy clustering for optimal sensors allocation

Positioning of sensors network without considering the spatial properties of the field might lead to misleading information on cropping status and thus to wrong decisions. This is translated to income losses within farm business. farmB uses advanced data analytics technology for the fusion of various field spatial data (soil properties, field topography, historical cropping data) […]

Flying through farmB

Details coming soon. Stay in touch! Tech Topic– Farming System– Application Category– Date–

Robotics interoperability

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Tree canopy detection

farmB developed a methodology able to identify tree canopies from aerial images. Based on AI algorithms, the system is capable of separating the trees’ canopies from the ground, providing clear canopy outlines for all trees located within an orchard.Deep learning algorithm U-net, is utilized for providing semantic segmentation in images, taken from unmanned aerial vehicles. […]

Deep learning for defected trees detection

farmB R&D team in cooperation with IBO’s Scientists prototyped a novel AI approach for the detection of trees with disease-infected leaves taken advantage of the latest developments in deep learning and object detection. The first disease type to be tested was anthracnose. So far, anthracnose machine learning based detection was performed on single leaf level […]