diagnosis in field - big data driven reason clarification of satellite captured differences in field location The main objective of the project 'BigPicture - Diagnosis in the field: Big-Data-based determination of causes for satellite-image-derived and site-specific variations.” which is to be conducted from August 2016 until January 2019, is to use the characteristics or symptoms of plants detected by satellite sensors to derive distinct diagnoses to their causes. The goal is to make appropriate crop treatment decisions based on this information.

Methods for feasible detection of scoring data and usage for varible plant protection in arable farming The spare use of pesticides is essential not only for economic reasons but also for reasons of nature and environmental protection. Our aim is to develop a method by which farmers and contractors easily and with the aid of software tools can rate crops. These data can be used to create a map for site-specific application of pesticides and then send to the existing technology (sprayer with GPS section control).

Generation of agricultural maps for yield potential by fusion of yield mapping, remote sensing, digital relief maps and cultivation data One of the most important parameter for agricultural crop production is the expected yield potential of a specific crop species at each location. Based on the yield potential an optimization of the cultivation method and the specific production intensity can be performed.