Работы, цитирующие эту работу

Работ: 5

Работа: Deep learning models for plant disease detection and diagnosis

1. Study on electric pulse destruction of diseased nematodes

   N T Tashpulatov, R A Zakhidov

   СтатьяSmart Agriculture and AIIOP Conference Series Earth and Environmental Science2021Цитирований: 1

   ABIABI:AkademIndex/openalex/2021.article.002006

2. PotatoCare: A Deep Learning-Powered Framework for Automated Detection and Classification of Potato Disease

   MD Samiul Islam, Tanzila Afrin, Md Amzad Sadik Abid +4

   СтатьяSmart Agriculture and AI2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001548

3. CNN-Based Image System for Automated Agricultural Crop Condition Monitoring

   Golib Berdiev, Sojida Rayimberdi qizi Ochilova, Muzaffar Ochilov +1

   СтатьяSmart Agriculture and AIAcademia Open2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.002427

4. Multi-Task Learning with CORAL-Based Feature Alignment for Cross-Domain Plant Disease Detection

   Mohina Rustamova, Shirali Kadyrov, Rashid Baimukashev

   СтатьяSmart Agriculture and AI2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.013664

5. DenseNet-169 and Inception V3 Neural Network for Peanut Leaf Disease Detection

   Rudranil Ghosh, Karthik Reddy, Nikam Aniket Anil +4

   ГлаваSmart Agriculture and AI2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.chapter.000125