AlexNet Mimarisi ile Muz Olgunlaşma Evrelerinin Sınıflandırılması
Author:
Affiliation:
1. PAMUKKALE ÜNİVERSİTESİ
2. AFYON KOCATEPE UNIVERSITY
3. AFYON KOCATEPE ÜNİVERSİTESİ
Abstract
Publisher
European Journal of Science and Technology
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference13 articles.
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2. Bu, F., & Wang, X. (2019). A Smart Agriculture IoT system Basic on Deep Learning Reinforcement Learning. Future Generation Computer System. 99, 500- 507.
3. Chen, H., Chen, A., Xu, L., Xie, H., Qioa, H., Lin, Q., & Cai, K. (2020). A Deep Learning CNN Achitecture Applied in Smart Near-Inferad Analysis of Water Population for Agriculturel Irrigation Resources. Agriculturel Water Managemant. 240, 1-8,
4. Coulibaly, S., Kamsu B., & Kamissoko, D. (2022). Deep Learning for Precision Agriculture: A Bibliomtric Analysis. Intelligent System with Aplication. 16,1-18.
5. Gayani C, Kokul T, & Amalka P, A (2020). Comprehensive Study on Deep Image Classification with Small Datasets
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