Abstract: A sorting device for sorting agricultural products coming from a bulk flow and a corresponding method are described. A sorting device includes an image acquisition unit; an image processing unit configured to identify and analyze each product in the bulk flow; a decision unit configured to determine the products to be separated; a separation unit arranged to separate at least some of the products coming from the bulk flow; and a unit for conveying the agricultural products in the form of bulk flow. The sorting device may further include means for turning over the agricultural products on themselves, mounted in the conveying unit facing the image acquisition unit, and configured to allow an exposure to the image acquisition unit, of the different parts of the conveyed agricultural products.

Abstract: A control system for agricultural spraying is especially intended to be connected to an agricultural machine comprising a spraying ramp and having at least one spraying nozzle selectively activatable to spray an agricultural product. The system includes a set of cameras (42) suitable for being secured to the spraying ramp to acquire images (51) of the ground (12) on which the agricultural machine moves (10), a measuring system (59) for determining, in real time, distance information between a camera (42) and the ground (12), and a processing unit (44) communicating with the cameras (42) and said measurement system (59), the processing unit (44) being suitable for selectively controlling the spraying nozzles (34).

Abstract: A weeding system for a railway weeding vehicle comprising a camera and a spraying unit with several supply modules, a nozzle and a controller module to receive a weed species detection signal and to command the spraying of chemical agent. The weeding system also comprises a weed species identification unit with a communication module, a memory module and a processing module having several parallel processing cores. Each parallel processing core performs a convolution operation between a sub-matrix constructed from nearby pixels of the image and a predefined kernel stored in the memory module to obtain a feature representation sub-matrix of the pixel values of the image. The processing module computes a probability of presence of a weed species from the feature representation matrix and generates a weed species detection signal.

Abstract: A weed control system (2) for an agricultural sprayer (1) comprising a camera (3) and a spraying unit (4) with several supply modules, a nozzle (9) and a controller module to receive a weed species detection signal and to control the spraying of chemical agent. The weed control system (2) also comprises a weed species identification unit (5) with a communication module, a memory module and a processing module having several parallel processing cores. Each parallel processing core performs a convolution operation between a sub-matrix constructed from nearby pixels of the image and a predefined kernel stored in the memory module to obtain a feature representation sub-matrix of the pixel values of the image. The processing module computes a probability of presence of a weed species from the feature representation matrix and generates a weed species detection signal.

Abstract: A weed control system (2) for an agricultural sprayer (1) comprising a camera (3) and a spraying unit (4) with several supply modules, a nozzle (9) and a controller module to receive a weed species detection signal and to control the spraying of chemical agent. The weed control system (2) also comprises a weed species identification unit (5) with a communication module, a memory module and a processing module having several parallel processing cores. Each parallel processing core performs a convolution operation between a sub-matrix constructed from nearby pixels of the image and a predefined kernel stored in the memory module to obtain a feature representation sub-matrix of the pixel values of the image. The processing module computes a probability of presence of a weed species from the feature representation matrix and generates a weed species detection signal.

Abstract: A control system for agricultural spraying is especially intended to be connected to an agricultural machine comprising a spraying ramp and having at least one spraying nozzle selectively activatable to spray an agricultural product. The system includes a set of cameras (42) suitable for being secured to the spraying ramp to acquire images (51) of the ground (12) on which the agricultural machine moves (10), a measuring system (59) for determining, in real time, distance information between a camera (42) and the ground (12), and a processing unit (44) communicating with the cameras (42) and said measurement system (59), the processing unit (44) being suitable for selectively controlling the spraying nozzles (34).

Abstract: A weeding system for a railway weeding vehicle comprising a camera and a spraying unit with several supply modules, a nozzle and a controller module to receive a weed species detection signal and to command the spraying of chemical agent. The weeding system also comprises a weed species identification unit with a communication module, a memory module and a processing module having several parallel processing cores. Each parallel processing core performs a convolution operation between a sub-matrix constructed from nearby pixels of the image and a predefined kernel stored in the memory module to obtain a feature representation sub-matrix of the pixel values of the image. The processing module computes a probability of presence of a weed species from the feature representation matrix and generates a weed species detection signal.