Description



Table of Contents
1. Smart agriculture: Technological advancements on agriculture: A systematical review 2. A systematic review of artificial intelligence in agriculture 3. Introduction to deep learning in precision agriculture: Farm image feature detection using unmanned aerial vehicles through classification and optimization process of machine learning with convolution neural network 4. Design and implementation of a crop recommendation system using nature-inspired intelligence for Rajasthan, India 5. Artificial intelligent-based water and soil management 6. Machine learning for soil moisture assessment 7. Automated real-time forecasting of agriculture using chlorophyll content and its impact on climate change 8. Transformations of urban agroecology landscape in territory transition 9. WeedNet: A deep neural net for weed identification 10. Sensors make sense: Functional genomics, deep learning, and agriculture 11. Crop management: Wheat yield prediction and disease detection using an intelligent predictive algorithms and metrological parameters 12. Sugarcane leaf disease detection through deep learning 13. Prediction of paddy cultivation using deep learning on land cover variation for sustainable agriculture 14. Artificial intelligence-based detection and counting of olive fruit flies: A comprehensive survey

Deep Learning for Sustainable Agriculture

    Product form

    £103.50

    Includes FREE delivery

    RRP £115.00 – you save £11.50 (10%)

    Order before 4pm today for delivery by Sat 27 Jun 2026.

    A Paperback by Ramesh Poonia, Vijander Singh, Soumya Ranjan Nayak

    15 in stock


      View other formats and editions of Deep Learning for Sustainable Agriculture by Ramesh Poonia

      Publisher: Elsevier Science
      Publication Date: 1/24/2022 12:00:00 AM
      ISBN13: 9780323852142, 978-0323852142
      ISBN10: 0323852149
      Also in:
      Machine learning

      Description



      Table of Contents
      1. Smart agriculture: Technological advancements on agriculture: A systematical review 2. A systematic review of artificial intelligence in agriculture 3. Introduction to deep learning in precision agriculture: Farm image feature detection using unmanned aerial vehicles through classification and optimization process of machine learning with convolution neural network 4. Design and implementation of a crop recommendation system using nature-inspired intelligence for Rajasthan, India 5. Artificial intelligent-based water and soil management 6. Machine learning for soil moisture assessment 7. Automated real-time forecasting of agriculture using chlorophyll content and its impact on climate change 8. Transformations of urban agroecology landscape in territory transition 9. WeedNet: A deep neural net for weed identification 10. Sensors make sense: Functional genomics, deep learning, and agriculture 11. Crop management: Wheat yield prediction and disease detection using an intelligent predictive algorithms and metrological parameters 12. Sugarcane leaf disease detection through deep learning 13. Prediction of paddy cultivation using deep learning on land cover variation for sustainable agriculture 14. Artificial intelligence-based detection and counting of olive fruit flies: A comprehensive survey

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account