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Relevancy: 100%
A fast method for recognition and documentation of growth heterogeneities in agriculture (Project)
The project focuses on the detection, documentation and interpretation of spatial field heterogeneities. Applied techniques are: Remote Sensing and GIS as well as various modelling approaches.
Funding period: 2007 - 2009
Relevancy: 100%
A farmland biodiversity monitoring for Germany. Subproject 'Monitoring other organisms groups - arable weeds' (Project)
In MonViA, the Julius Kühn-Institute develops in close co-operation with the Thünen-Institute and the Federal Office for Agriculture and Food a broad-based farmland biodiversity monitoring for Germany. The joint project consists of three main parts: a) a general, national wide trend monitoring based on a systematic sampling grid, b) an in-depth, question-based monitoring on specific issues...
Funding period: 2019 - 2021
Relevancy: 100%
A farmland biodiversity monitoring for Germany (Project)
currently unavailable
Funding period: 2019 - 2026
Relevancy: 100%
A drought-tolerant synthetic bacterial community for barley (Project)
currently unavailable
Funding period: 2021 - 2023
Relevancy: 100%
A digital decision-making System for optimizing hemp harvesting, improving fiber quality, and supporting breeding-related decisions in Baden-Württembe (Project)
Project HanfWert BW develops a practical AI System that detects hemp retting degree from photos and recommends the optimal harvest time. It is based on field trials with 15 varieties over three years at three sites (Heidfeldhof, Oberer Lindenhof, Eckartsweier) with two harvest dates and three retting stages, plus weather, Vegetation, and image data. University of Hohenheim builds the model and...
Funding period: 2025 - 2027
Relevancy: 100%
A detailed climate change risk assessment for European agriculture and food security, in collaboration with international projects (Project)
no details
Funding period: 2012 - 2015
Relevancy: 100%
A detailed climate change risk assessment for European agriculture and food security, in collaboration with international projects (Project)
The FACCE Knowledge hub focuses on modeling European agriculture with climate change for food security. The objective is to improve the robustness of impact assessments and to derive better model integration including information on uncertainty, scaling and data processing. ZALF contributes to all three project themes: crop, livestock and trade modeling. Crop-M investigates cropland models...
Funding period: 2012 - 2015
Relevancy: 100%
A Deep Learning analysis method for large-scale automated detection of individual tree crowns and for classification of tree species (Project)
currently unavailable
Funding period: 2022 - 2024
