An Efficient Machine Learning Enabled Non-Destructive Technique for Remote Monitoring of Sugarcane Crop Health
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DOI: 10.1109/access.2022.3190716
Abstract: Crop health can be predicted based on various biochemical variables of crops, which include chlorophyll, phenol, carbohydrate, lipid, protein, hydrogen peroxide, and proline as these variables play a critical role in maintaining the intricate phytochemistry… read more here.
Keywords: crop health; biochemical variables; crop; monitoring sugarcane ... See more keywords