Early detection of plant leaf diseases using stacking hybrid learning

The early identification of pests and diseases in crops now presents a significant challenge. Different methods have been used to resolve this problem. Sticky traps and black light traps, used to identify diseases and for field monitoring, are examples of a manual procedure for analysing the disease...

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Veröffentlicht in:	PloS one 2024-11, Vol.19 (11), p.e0313607
1. Verfasser:	Sheneamer, Abdullah
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Agricultural production Algorithms Automation Black light Crop fields Crops Crops, Agricultural Datasets Deep learning Farmers Farms Health aspects Identification and classification Image processing Image Processing, Computer-Assisted - methods Information processing Leaves Light traps Machine learning Medical imaging Monitoring Morphology Neural networks Pesticides Pests Plant Diseases Plant Leaves Plant pathology Plants Positron emission Support vector machines Telemedicine Tomatoes Transfer learning
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