Machine learning techniques implementation for detection of grape leaf disease

Author:

Shantkumari M.,Uma S. V.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference40 articles.

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2. Adeel A, Khan MA, Sharif M, Azam F, Shah JH, Umer T, Wan S (2019) Diagnosis and recognition of grape leaf diseases: an automated system based on a novel saliency approach and canonical correlati analysis based multiple features fusion. Sustain Comput: Inf Syst 24:100349

3. Amara J, Bouaziz B, Algergawy A (2017) A deep learning-based approach for banana leaf diseases classification, pp 79–88

4. Burrell J, Brooke T, Beckwith R (2004) Vineyard computing: sensor networks in agricultural production. IEEE Pervasive Comput 3:38–45

5. Chollet F (2017) "Xception: deep learning with depthwise separable convolutions", in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), pp. 1800-1807

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1. Designing CNNs with optimal architectures using antlion optimization for plant leaf recognition;Multimedia Tools and Applications;2024-03-25

2. Plant Leaf Disease Detection using Novel Machine Learning Approach;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

3. Hybrid deep learning with improved Salp swarm optimization based multi-class grape disease classification model;Computers and Electrical Engineering;2023-05

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