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SHEET
SHEET APK
1.0.1 ․ 1 month agoFree ․ Leibniz-Institut für Agrartechnik und Bioökonomie ⇣ Download APK (20.79 MB)
SUNBURN AND HEAT PREDICTION IN CANOPIES FOR EVOLVING A WARNING TECH SOLUTION
What's SHEET APK?
SHEET is a app for Android, It's developed by Leibniz-Institut für Agrartechnik und Bioökonomie author.
First released on google play in 5 months ago and latest version released in 1 month ago.
This app has 1 download times on Google play
This product is an app in Libraries & Demo category. More infomartion of SHEET on google play
This mobile App provides a tool for using a risk model for fruit damage due to exposure to global radiation in viticulture and apple production. The SHEET App is intended to support the decision making on measures for avoidance of heat damage in orchards and vineyards. This App is designed to address growers, extension service, and research.
Present version: The model was developed in experimental grape production in Bologna, Italy, and experimental apple production in Bologna and Potsdam, Germany. The models were developed for the particular growing conditions and need to be adapted to your location!
A. Check out: The SHEET App provides probability models for heat damage in grape and apple production. The two probability models are based on deep learning approach, which requests to be validated and adapted to specific fields. Please compare the risk recognized by this mobile App with own experiences.
B. Contribute: The SHEET App will be further developed in a community approach targeting the use of thermodynamic model and advanced deep learning approach. This SHEET App, therefore, provides the option to upload own data from the fruit production. Your participation in the further development will be recognized in a list of contributors.
The project was supported by the ICT-AGRI-FOOD call (funders: MIPAAF, Italy, BMEL, Germany, NRDIO, Hungary), within the project SHEET (https://ictagrifood.eu/node/44656). The SHEET project is coordinated by Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Germany. Project partners are Hungarian University of Agriculture and Life Sciences / Magyar Agrár- és Élettudományi Egyetem (MATE); Alma Mater University Bologna / Department of Agricultural and Food Sciences (UNIBO), and Cloudflight.
Present version: The model was developed in experimental grape production in Bologna, Italy, and experimental apple production in Bologna and Potsdam, Germany. The models were developed for the particular growing conditions and need to be adapted to your location!
A. Check out: The SHEET App provides probability models for heat damage in grape and apple production. The two probability models are based on deep learning approach, which requests to be validated and adapted to specific fields. Please compare the risk recognized by this mobile App with own experiences.
B. Contribute: The SHEET App will be further developed in a community approach targeting the use of thermodynamic model and advanced deep learning approach. This SHEET App, therefore, provides the option to upload own data from the fruit production. Your participation in the further development will be recognized in a list of contributors.
The project was supported by the ICT-AGRI-FOOD call (funders: MIPAAF, Italy, BMEL, Germany, NRDIO, Hungary), within the project SHEET (https://ictagrifood.eu/node/44656). The SHEET project is coordinated by Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Germany. Project partners are Hungarian University of Agriculture and Life Sciences / Magyar Agrár- és Élettudományi Egyetem (MATE); Alma Mater University Bologna / Department of Agricultural and Food Sciences (UNIBO), and Cloudflight.
