Convolution Neural Network Deployment for Plant Leaf Diseases Detection

Author:

Cherifi Dalila,Bayou Meroua,Benmalek Assala,Mechti Ines,Bekkouche Abdelghani,Bekkour Belkacem,Amine Chaima,Ahmed Halak

Publisher

Springer International Publishing

Reference23 articles.

1. Bhattarai, S.: New plant diseases dataset. PlantVillage Dataset (2018)

2. Global Agriculture towards 2050. https://www.fao.org/fileadmin/user_upload/lon/HLEF2050_Global_Agriculture.pdf. Accessed 19 May 2022

3. United Nations: The world population is projected to reach 9.8 billion in 2050, and 11.2 billion in 2100. United Nations. https://www.un.org/en/desa/world-population-projected-reach-98-billion-2050-and-112-billion-2100. Accessed 19 May 2022

4. University of California: How do we sustainably feed 8 billion people by 2025? Global Food Systems Forum. https://food2025.ucanr.edu/. Accessed 19 May 2022

5. Mohanty, S.P., Hughes, D.P., Salathé, M.: Using deep learning for image-based plant disease detection. Front. Plant Sci. 7, 1419 (2016)

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1. Effective Disease Detection in Bean Leaves Using Deep CNN and SVM Ensemble;2023 3rd Asian Conference on Innovation in Technology (ASIANCON);2023-08-25

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3. An Optimized Deep Learning Model for Grassy Shoot Disease Prediction in Sugarcane;2023 7th International Conference on Trends in Electronics and Informatics (ICOEI);2023-04-11

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