This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). Collaborative project: Decision Support in Crop Protection: Pest Identification using UAV Technology The german project description will be translated soon. Im Rahmen des Schadinspektor-Projektes werden Algorithmen zur Identifikation und Abgrenzung von Schaderreger-Befallszonen innerhalb landwirtschaftlicher Schläge entwickelt und durch die Integration als Webservice in das Internetportal von www.isip.de der landwi

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). Remote sensing of weed infestations For an improved weed control which is adapted to the current situation in the field, the farmer needs information about the weed infestation to specifically adjust the management of weed control. In the project REMWEED tools are developed to determine the weed infestation spatially.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). development of methods for pre-symptomatic and specific detection of grape diseases like esca, phytoplamosis and viruses as basis for a regional monitoring in vineyards and development of control strategies# Ziel des Vorhabens ist die Entwicklung von Verfahren zur Früherkennung/Frühdiagnose von endogenen Problemkrankheiten der Weinrebe wie Esca, Phytoplasmosen und Virosen.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). Sensor-based online-detection of pests in wheat Aim of the project is the development of a suitable technology for the early detection of yellow rust patches in wheat. Optical vehicle- and UAV-carried sensors will be tested. For a disease related control decision by the farmer beside the information of the disease also information of various plant parameters like crop surface and plant height are necessary.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE) . Resource efficient plant protection based on a data driven multi-scale approach for the process chain: Diseases detection - decision support - demand specific fungicide application In precision agriculture most current solution focus on site specific fertilization.