Detection of Almond Leaf Scorch with Artificial Intelligence for the Agriculture Industry

Author:

Cruz Alberto C.1,Magana Stephanie1,Greco Davide2,Bellis Luigi De2,Luvisi Andrea2

Affiliation:

1. California State Univ,Center for Environmental Studies,Stockdale Hwy,Bakersfield,CA,USA,9001

2. Univ. of Salento, Via Prov. le,Dept. Biological and Environmental Sciences and Tech,Monteroni,Lecce,IT,73100

Publisher

IEEE

Reference24 articles.

1. Evaluation of Data Augmentation for Image-Based Plant-Disease Detection;kobayashi;Proceedings-2018 IEEE International Conference on Systems Man and Cybernetics SMC 2018,2019

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3. Vision-based Grapevine Pierce’s disease detection system using artificial intelligence

4. Xception: Deep learning with depthwise separable convolutions;chollet;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

5. Development of LAMP and Real-Time PCR Methods for the Rapid Detection of Xylella fastidiosa for Quarantine and Field Applications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AI in Agriculture: A Federated Learning CNN Approach to Detecting Almond Leaf Disease;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

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