METROLOGICAL IMPACT ON ORANGE FRUIT: A COMPARATIVE ANALYSIS OF DEEP LEARNING MODELS FOR PREDICTING FRUIT DISEASES

This research offers a comprehensive comparative analysis of efficient deep learning models for predicting diseases in orange fruits, with a particular emphasis on the impact of meteorological factors on disease prevalence. Citrus diseases such as Blackspot, Canker, and Greening are significantly in...

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Autors principals:	Lawrence Kujur, Varuna Gupta, Abhinav Singhal
Format:	Artigo
Idioma:	Inglês
Publicat:	University of Kragujevac 2025-09-01
Col·lecció:	Proceedings on Engineering Sciences
Matèries:	metrology convolutional neural networks (cnns) gradient boosting (cnn-gb) hybrid models measurement accuracy fruit disease prediction
Accés en línia:	https://pesjournal.net/journal/v7-n3/36.pdf
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