Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress

Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress

Moisture and potassium deficiency are two of the main limiting variables for squash crop performance in many water-stressed places worldwide. If major output decreases are to be avoided, it is critical to detect signs of crop stress as early as possible in the growth cycle. Proximal remote sensing c...

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Bibliographic Details
Main Authors: Mohamed A. Sharaf-Eldin, Salah Elsayed, Adel H. Elmetwalli, Zaher Mundher Yaseen, Farahat S. Moghanm, Mohssen Elbagory, Sahar El-Nahrawy, Alaa El-Dein Omara, Andrew N. Tyler, Osama Elsherbiny
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Horticulturae
Subjects:
abiotic stress
<i>Cucurbita pepo</i>
potassium-use efficiency
water-use efficiency
seed yield
Online Access:https://www.mdpi.com/2311-7524/9/1/79

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https://www.mdpi.com/2311-7524/9/1/79

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