Prediction of environment variables in precision agriculture using a sparse model as data fusion strategy
Precision agriculture seeks to optimize production processes by monitoring and analyzing environmental variables. For example, establishing farming actions on the crop requires analyzing variables such as temperature, ambient humidity, soil moisture, solar irradiance, and Rainfall. Although these si...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-06-01
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| Series: | Information Processing in Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214317321000561 |