Machine Learning Method for Forecasting Weather Needed For Crop Water Demand Estimations in Low-Resource Settings Using A Case Study in Morocco
Low and middle income countries often do not have the infrastructure needed to support weather forecasting models, which are computationally expensive and often require detailed inputs from local weather stations. Local, low-cost weather prediction services are needed to enable optimal irrigation sc...
Main Authors: | Sheline, Carolyn, Winter, Amos |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | English |
Published: |
American Society of Mechanical Engineers
2024
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Online Access: | https://hdl.handle.net/1721.1/154903 |
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