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Multispectral Image Analysis and Remote Sensing

Fruit cracking represents a major agricultural challenge, causing 5%–30% loss in yield. In collaboration with the EU CrackSense project, led by Prof. V. Alchanatis, our MA student, Mr. Yovel Gani, has successfully advanced the detection and understanding of fruit cracking. Additionally, the GADAL lab contributes to the detection and identification of fruit rot in grapes.

 

Our research aims to deepen understanding by identifying the precise spectral signatures associated with cracked grapes. The GADAL lab employs thermal and multispectral imaging to analyze plant decay and improve early detection methods, providing actionable insights for more effective crop management.

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Fig. Rot detection by advanced imaging. Grapes in field with rot in yellow square. (B) Experiment zone in Lachish (Israel). (C) Rot detection.

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