Detection and classification of sugarcane billet damage using Aquila Sailfish Optimizer based deep learning-Reference-Cited by-同舟云学术

Detection and classification of sugarcane billet damage using Aquila Sailfish Optimizer based deep learning

Published:2023-09-07 Issue:S2 Volume:56 Page:2183-2206
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Nagapavithra S.,Umamaheswari S.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-023-10574-5.pdf

Reference31 articles.

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2. Alencastre-Miranda M, Davidson JR, Johnson RM, Waguespack H, Krebs HI (2018) Robotics for sugarcane cultivation: analysis of billet quality using computer vision. IEEE Robot Autom Lett 3(4):3828–3835

3. Alencastre-Miranda M, Johnson RM, Krebs HI (2020) Convolutional neural networks and transfer learning for quality inspection of different sugarcane varieties. IEEE Trans Industr Inf 17(2):787–794

4. Amulya S (2021) Hybrid grasshopper optimization algorithm and genetic algorithm for optimal water control in sugarcane crops. J Netw Commun Syst 4(4):25–32

5. Anandkumar M (2020) Texton features and deep belief network for leaf disease classification. Multimedia Res 3(4):43–50

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