The Digital Agricultural Revolution. Группа авторовЧитать онлайн книгу.

      1  Cover

      2  Title Page

      3  Copyright

      4  Preface

      5  1 Scope and Recent Trends of Artificial Intelligence in Indian Agriculture 1.1 Introduction 1.2 Different Forms of AI 1.3 Different Technologies in AI 1.4 AI With Big Data and Internet of Things 1.5 AI in the Lifecycle of the Agricultural Process 1.6 Indian Agriculture and Smart Farming 1.7 Advantages of Using AI in Agriculture 1.8 Role of AI in Indian Agriculture 1.9 Case Study in Plant Disease Identification Using AI Technology—Tomato and Potato Crops 1.10 Challenges in AI 1.11 Conclusion References

      6  2 Comparative Evaluation of Neural Networks in Crop Yield Prediction of Paddy and Sugarcane Crop 2.1 Introduction 2.2 Introduction to Artificial Neural Networks 2.3 Application of Neural Networks in Agriculture 2.4 Importance of Remote Sensing in Crop Yield Estimation 2.5 Derivation of Crop-Sensitive Parameters From Remote Sensing for Paddy and Sugarcane Crops 2.6 Neural Network Model Development, Calibration and Validation 2.7 Conclusion References

      7  3 Smart Irrigation Systems Using Machine Learning and Control Theory 3.1 Machine Learning for Irrigation Systems 3.2 Control Theory for Irrigation Systems 3.3 Conclusion and Future Directions References

      8  4 Enabling Technologies for Future Robotic Agriculture Systems: A Case Study in Indian Scenario 4.1 Need for Robotics in Agriculture 4.2 Different Types of Agricultural Bots 4.3 Existing Agricultural Robots 4.4 Precision Agriculture and Robotics 4.5 Technologies for Smart Farming 4.6 Impact of AI and Robotics in Agriculture 4.7 Unmanned Aerial Vehicles (UAV) in Agriculture 4.8 Agricultural Manipulators 4.9 Ethical Impact of Robotics and AI 4.10 Scope of Agribots in India 4.11 Challenges in the Deployment of Robots 4.12 Future Scope of Robotics in Agriculture 4.13 Conclusion References

      9  5 The Applications of Industry 4.0 (I4.0) Technologies in the Palm Oil Industry in Colombia (Latin America) 5.1 Introduction 5.2 Methodology 5.3 Results Analysis 5.4 Colombia PO Industry 5.5 The PO Industry and the Circular Economy 5.6 Conclusion 5.7 Further Recommendations for the Colombian PO Industry Acknowledgments References

      10  6 Intelligent Multiagent System for Agricultural Management Processes (Case Study: Greenhouse) 6.1 Introduction 6.2 Modern Agricultural Methods 6.3 Internet of Things Applications in Smart Agriculture 6.4 Artificial Intelligence 6.5 MAS 6.6 Design and Implementation 6.7 Analysis and Discussion 6.8 Conclusion References

      11  7 Smart Irrigation System for Smart Agricultural Using IoT: Concepts, Architecture, and Applications 7.1