Risce- An Explainable ML Chain for Practical Sustainable Agriculture
Author:
Affiliation:
1. German Aerospace Center (DLR),Wessling,Germany,82234
2. Institut für Mikroelektronik - und Mechatronik-Systeme gemeinnützige GmbH
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282452.pdf?arnumber=10282452
Reference7 articles.
1. Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach
2. Forecasting Horticultural Products Price Using ARIMA Model and Neural Network Based on a Large-Scale Data Set Collected by Web Crawler
3. Developing crop price forecasting service using open data from Taiwan markets
4. Agricultural Crop Recommendations based on Productivity and Season;vaishnavi;2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS),2021
5. Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data
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