Comparison of the machine learning and AquaCrop models for quinoa crops
One of the main causes of having low crop efficiency in Peru is the poor management of water resources; which is why the main objective of this article is to estimate the amount of irrigation water required in quinoa crops through a comparison between the machine learning and AquaCrop models. For th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Czech Academy of Agricultural Sciences
2023-05-01
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| Series: | Research in Agricultural Engineering |
| Subjects: | |
| Online Access: | https://rae.agriculturejournals.cz/artkey/rae-202302-0002_comparison-of-the-machine-learning-and-aquacrop-models-for-quinoa-crops.php |