SqueezeNet-Based Deep Learning Framework for Accurate Tomato (Solanum lycopersicum) Leaf Disease Diagnosis and Classification

Abstract Agriculture is crucial for food security but is severely threatened by crop disease and climate variability and causes severe yield loss. As the population grows worldwide, quick and accurate disease detection is critical. Deep learning, in particular through transfer learning, offers promi...

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Hlavní autoři:	Siddhant Jagdev, Bharathwaaj Sundararaman, Narendra Khatri, Pramod Gaur, Hiren Mewada
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2025-09-01
Edice:	International Journal of Computational Intelligence Systems
Témata:	SqueezeNet framework Tomato leaf disease detection Tomato leaf disease classification Deep learning Advanced computational techniques
On-line přístup:	https://doi.org/10.1007/s44196-025-00978-2
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