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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 7967 ResultsSorting
Relevancy: 2%
Collaborative project: Electronic identification, monitoring and management of pigs by UHF-RFID - subproject 6 (Project)
Aim of the project is the advancement of an ultra-high frequency radio frequency identification system (UHF-RFID) for automatic and continuous monitoring and documentation of animal health and animal welfare indicators for breeding sows as well as the acquisition of animal welfare indicators, performance and management data in piglets and fattening pigs. Central point of the exploitation plan is...
Funding period: 2017 - 2019
Relevancy: 2%
What works and why in grassland restoration in Germany? A multi-region social-ecological assessment and pilot implementation of successful approaches (Project)
In Grassworks, scientists from ecology, sustainability science and economy aim to investigate which factors are important for successful grassland restoration in a transdisciplinary research approach together with the Thünen Institute, as an interface between science and policy, and with the Deutscher Verband für Landschaftspflege (German association for landscape conservation). Grassworks will...
Funding period: 2021 - 2024
Relevancy: 2%
Collaborative project: Robotic hoeing in maize, sugar beet and sunflower – camera-guided hoeing within crop rows using a convolutional neural network - subproject A (Project)
The objective of this project is to integrate a new camera-controlled in-row hoeing technology for maize, sugar beet and sunflower into an exisiting hoe with sensor-based side-shift control. The new in-row system needs to identify weeds and crops in real-time. The in-row tool selectively controls weeds without damaging crops.
Funding period: 2021 - 2024
Relevancy: 2%
Collaborative project: Robotic hoeing in maize, sugar beet and sunflower – camera-guided hoeing within crop rows using a convolutional neural network - subproject B (Project)
The objective of this project is to integrate a new camera-controlled in-row hoeing technology for maize, sugar beet and sunflower into an exisiting hoe with sensor-based side-shift control. The new in-row system needs to identify weeds and crops in real-time. The in-row tool selectively controls weeds without damaging crops.
Funding period: 2021 - 2024
Relevancy: 2%
Seasonal determination of the sea trout population in the watersheds of the Vorpommersche Boddengewässer, the Mecklenburger Bucht and the Haff region by means of video-optical recording of ascending individuals in connection with monitoring and fishery biological studies (Project)
currently unavailable
Funding period: 2020 - 2023
Relevancy: 2%
Process engineering enhancement of the breeding of pike-perch set fish for an economically profitable production of the plant Hohen Wangelin (Project)
currently unavailable
Funding period: 2020 - 2022
Relevancy: 2%
Collaborative project: Further development and validation of the adaptive control of the harvesting and cleaning organs in sugar beet harvesters on the basis of image-based quality assessment - subproject A (Project)
The aim of the project is the further development of the control of the cleaning and harvesting organs of a self-propelled sugar beet harvester on the basis of quality characteristics. The basis for the development of the system is the investigation of the interdependencies between machine parameters and harvest quality. Based on the expert knowledge of the drivers, the machine settings are...
Funding period: 2020 - 2022
Relevancy: 2%
Collaborative project: Further development and validation of the adaptive control of the harvesting and cleaning organs in sugar beet harvesters on the basis of image-based quality assessment - subproject B (Project)
The aim of the project is the further development of the control of the cleaning and harvesting organs of a self-propelled sugar beet harvester on the basis of quality characteristics. The basis for the development of the system is the investigation of the interdependencies between machine parameters and harvest quality. Based on the expert knowledge of the drivers, the machine settings are...
Funding period: 2020 - 2022
Relevancy: 2%
Collaborative project: Further development and validation of the adaptive control of the harvesting and cleaning organs in sugar beet harvesters on the basis of image-based quality assessment - subproject C (Project)
The aim of the project is the further development of the control of the cleaning and harvesting organs of a self-propelled sugar beet harvester on the basis of quality characteristics. The basis for the development of the system is the investigation of the interdependencies between machine parameters and harvest quality. Based on the expert knowledge of the drivers, the machine settings are...
Funding period: 2020 - 2022
Relevancy: 2%
Development and evaluation of weed application maps for the use of robots for mechanical weed control (Project)
currently unavailable
Funding period: 2023 - 2026
