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Collaborative project: Development of an intelligent sensor platform for harvest quantity recording and management of silage until it is ready for the market - subproject B (SilageControl)
Project
Project code: 281DT02B21
Contract period: 01.12.2021
- 31.01.2025
Budget: 216,566 Euro
Purpose of research: Applied research
Keywords: agricultural engineering, data management, modeling, precision livestock farming, animal nutrition, knowledge transfer, networking, management planning, feed crop production
Extreme weather events such as pronounced periods of drought or heavy rainfall increase and pose new challenges for agricultural production. Agriculture is not only affected by climate change, it is also responsible for 7.4 percent of greenhouse gases in Germany. Particularly noteworthy are the years 2018 and 2019, when livestock and biogas producing farms were confronted with severe feed and substrate shortages. A continuous and safe supply of cattle herds and energy generation systems with sustainably produced coarse feed is essential for this. In order to be able to deal better with these extremes in the future, the silage stocks must be precisely known in terms of quantity and quality. For this it is essential on the one hand to record the harvest quantities during storage, on the other hand to determine the consumption during removal in order to establish a precise forecast of the remaining usage time of the respective storage facility and the total stock of canned feed on the farms. One of the goals set for achieving the 2030 climate protection goals is to reduce nitrogen inputs from agriculture (BMU 2019). In order to achieve this goal, a withdrawal-based fertilization, which is based on the realized yields of the land, is essential. For this, the yield of the forage areas must be determined. A large number of forage farms have no technology for recording yield, especially not at the field level for the fruits of whole maize plants and grass. Fertilization based on withdrawal is therefore not possible. In order to fulfill the above-mentioned tasks, it is necessary to develop intelligent and cost-effective sensor systems that can accurately and automatically map and document the amounts of feed and their consumption as well as losses incurred in the process.
Section overview
Subjects
- Crop Production
Framework programme
Funding programme
Excutive institution
Funding institution
Project management agencies
Associated projects: SilageControl
- Collaborative project: Development of an intelligent sensor platform for harvest quantity recording and management of silage until it is ready for the market - subproject A
- Collaborative project: Development of an intelligent sensor platform for harvest quantity recording and management of silage until it is ready for the market - subproject C
