Deep CNN model for predicting shelf life of fresh fruits and vegetables using temperature simulation data for optimized transport and storage

India is one of the largest producers of fruits and vegetables globally, contributing about 14% of global production., a significant portion of this produce, approximately 30-40%, is lost due to inefficient storage and transportation systems, resulting in an economic loss of ₹92,651 crores (2018). T...

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Autores principales:	Vijay Baskar, K., Navya Sri, R., Lavanya, S., Harisha, V.
Formato:	Artículo
Lenguaje:	inglés
Publicado:	2024
Materias:	Deep learning Convolutional Neural Network Real-time data Machine learning
Acceso en línea:	https://dialnet.unirioja.es/servlet/oaiart?codigo=9906284
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