Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
← Назад к работе

Работы, цитирующие эту работу

Работ: 10

Работа: Using Deep Learning for Image-Based Plant Disease Detection

  1. Smart technologies for determining water flow in irrigation systems

    J.B. Sapaev, Aybеk Arifjanov, Kh. Ramazonov +1

    СтатьяSmart Agriculture and AIE3S Web of Conferences2023Цитирований: 1
    ABI

  2. Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections

    Asadulla Ashurov, Mehdhar S. A. M. Al-Gaashani, Nagwan Abdel Samee +4

    СтатьяSmart Agriculture and AIFrontiers in Plant Science2025Цитирований: 1
    ABI

  3. Climate-resilient water management: Leveraging IoT and AI for sustainable agriculture

    Syed Muhammad Zaigham Abbas Naqvi, Saddam Hussain, Muhammad Awais +9

    СтатьяSmart Agriculture and AIEgyptian Informatics Journal2025Цитирований: 0
    ABI

  4. 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
    ABI

  5. Deep Learning Explainability with Local Interpretable Model-Agnostic Explanations for Monkeypox Prediction

    Motup Angmo, Nonita Sharma, Sachi Nandan Mohanty +3

    СтатьяPoxvirus research and outbreaksJournal of Mechanics in Medicine and Biology2025Цитирований: 0
    ABI

  6. Edge Computing for Real-Time Crop Health Monitoring in Precision Agriculture

    Tharrengini Suresh, Mohammed H. Fallah, Dr. Utkarsh Anand +4

    СтатьяSmart Agriculture and AI2025Цитирований: 0
    ABI

  7. Uncertainty-Aware Deep Learning for Sugarcane Leaf Disease Detection Using Monte Carlo Dropout and MobileNetV3

    Pathmanaban Pugazhendi, Chetan Badgujar, G. Madasamy Raja +1

    СтатьяSmart Agriculture and AIAgriEngineering2026Цитирований: 0
    ABI

  8. 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
    ABI

  9. 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
    ABI

  10. 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
    ABI