Machine Learning and Deep Learning Based Computational Techniques in Automatic Agricultural Diseases Detection: Methodologies, Applications, and Challenges

Plant disease detection is a critical issue that needs to be focused on for productive agriculture and economy. Detecting plant disease using traditional methods is a tedious job as it requires a tremendous amount of work, time, and expertise. Automatic plant disease detection is an important resear...

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Vydáno v:	Archives of computational methods in engineering Ročník 29; číslo 1; s. 641 - 677
Hlavní autoři:	Wani, Javaid Ahmad, Sharma, Sparsh, Muzamil, Malik, Ahmed, Suhaib, Sharma, Surbhi, Singh, Saurabh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 01.01.2022 Springer Nature B.V
Témata:	Classification Crop diseases Crops Datasets Deep learning Engineering Feature extraction Machine learning Mathematical and Computational Engineering Performance evaluation Plant diseases Review Article Signs and symptoms
ISSN:	1134-3060, 1886-1784
On-line přístup:	Získat plný text
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