Design of efficient techniques for tomato leaf disease detection using genetic algorithm-based and deep neural networks

Aims and background Pests and diseases of plants often threaten the availability and safety of plants for human consumption. To face these challenges, a new agricultural revolution is underway (agriculture 4.0). This agrarian revolution dramatically benefits from new digital technologies and artific...

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Veröffentlicht in:	Plant and soil 2022-10, Vol.479 (1-2), p.251-266
Hauptverfasser:	Moussafir, Mariam, Chaibi, Hasna, Saadane, Rachid, Chehri, Abdellah, Rharras, Abdessamad El, Jeon, Gwanggil
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Algorithms Artificial intelligence Artificial neural networks Biomedical and Life Sciences Data collection Disease detection Diseases and pests Ecology Genetic algorithms Instrumentation Life Sciences Machine learning Medical imaging Methods Model accuracy Neural networks Performance enhancement Performance evaluation Pests Plant diseases Plant Physiology Plant Sciences Research Article Soil Science & Conservation Tomatoes Transfer learning
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