Hyperautomation in Precision Agriculture

Section I: Fundamentals of Hyperautomation technology for sustainable agriculture<br>1. A global overview and the fundamentals of sustainable agriculture<br>2. Smart Contracts for Efficient Resource Allocation and Management in Hyperautomated Agriculture Information Systems<br>3. Towards Smart Farming: Applications of Artificial Intelligence and Internet of Things in Precision Agriculture<br>4. Hyperautomation in agriculture sector by technological devices towards irrigation, crop harvest and storage<br>5. AI-Powered Agriculture and Sustainable Practices in Developing Countries<br><br>Section II: Smart agriculture automation using advanced technologies<br>6. A light-weight Deep Learning model for plant disease detection in hyperautomation<br>7. Mapping and Retrieval of Agricultural Parameters using Artificial Intelligence<br>8. Sustainable Plant Disease Protection Using Machine Learning and Deep Learning<br>9. Cereal crop yield prediction using machine learning techniques<br>10. Estimation of soil properties for sustainable crop production using multisource data fusion<br><br>Section III: Advances in remote sensing for precision crop production<br>11. Detecting the stages of Ragi crop diseases using satellite data in villages of Nanjangud taluk<br>12. Soil and field analysis using unmanned aerial vehicles (UAV) for smart and sustainable farming<br>13. Crop Land Assessment with Deep Neural Network using Hyperspectral Satellite Dataset<br>14. Development of Soil moisture maps using image fusion of MODIS and optical dataset<br>15. Advance remote sensing technologies for crop disease and pest detection<br>16. Estimating Soil Moisture in Semi-Arid Areas for Winter Wheat Using Sentinel-1 and Support Vector Algorithms<br><br>Section IV: Robotic/Digital Process Automation (RPA/DPA) in agriculture and field applications<br>17. Autonomous Robotic Leaf Retrieval<br>18. Robotics-assisted precision and sustainable irrigation, harvesting and fertilizing processes<br>19. Computer Vision Technology for Weed Detection<br>20. LiDAR/RADAR robots in monitoring and mapping crop growth for sustainable crop production<br><br>Section V: Emerging trends and case studies in Hyperautomation of Sustainable Agriculture<br>21. Is Hyper-automation is playing a significant role in Smart Agriculture?<br>22. Predictive Irrigation: Current practice and Future Prospects<br>23. Design and fabrication of quad copter for agriculture seeding<br>24. hallenges and future trends in the Hyperautomation of Sustainable Agriculture<br>25. Techniques and applications of deep learning in smart agriculture systems<br>26. Investigation of Automated Plant disease detection Framework using Machine Learning Classifier with novel Segmentation and Feature Extraction Strategy<br>27. Hyperautomation in precision agriculture using different unmanned aerial vehicles (UAV)<br>28. Emerging Trends of hyperautomation in decision-making process & sustainable crop production<br>29. Remote sensors for hyper-automation in agriculture