Computational Techniques in Precision Agriculture Advances and Applications

Part I: Exploring Precision Agriculture

1. Precision Agriculture: Leveraging Technology for Efficient Farming

Rekha Jain and Rakhi Mutha

2. Automated Irrigation Systems Using IoT and AI: A Smart Solution for Water Conservation

Sabale and Babasaheb Jadhav

3. Drones in Precision Agriculture: Aerial Imaging and Real-Time Data Analytics for Sustainable Farming

M Rama Prasada Reddy, Anjana Barola, J. Somasekar et al.

4. Integrating AI and IoT in Precision Agriculture: A Pathway to Smart Farming

P. Ram Kishore Kumar Reddy, Santosh Gore, Amit Gangopadhyay et al.

5. Remote Sensing and GIS for Precision Agriculture: Enhancing Crop Monitoring and Yield Prediction

Subramanya Sarma S, Tholkapiyan. M, Nazeer Shaik et al. 

Part II: Precision Agriculture and Machine Learning

6. Precision Agriculture Meets Machine Learning: Predicting Crop Yield Using Random Forest Regression

Pragya Singh and Pragya Gaur

7. Optimizing Crop Classification Using K-Nearest Neighbours: A Data-Driven Approach Based on Climatic and Agricultural Factors

Senthilkumar.R, Sruthy P. B, Sruthi P. S et al. 

8. The Role of Machine Learning in Precision Agriculture: Optimizing Resource Use and Productivity

P. Lakshmi Supriya, M. Srivani, Kiran Kumar Reddy Penubaka et al.

9. Predictive Crop Yield Analysis based on Weather and Soil Data for Agriculture Optimization

Harsh Mishra and Komal Saxena

10. Precision Agriculture in India: Evaluating the Role of Environmental Factors in Crop Selection Using Machine Learning

Bhoomika Batra, Rajesh Sannegadu, and Sharmila Pudaruth

11. The Impact of Precision Agriculture on Agricultural Exports: A BRICS Panel Data Analysis

Shivangi Sharma

Part III: Precision Agriculture, Technology, Integration and Food Security

12. Blockchain for Precision Agriculture: Enhancing Transparency and Traceability in Agri-Supply Chains

Aarti Mohan Jathar, Kamakshi Patil, Sreejith R et al.

13. Blockchain-Powered IOT for Real Time Agriculture Monitoring and Prediction

Anish Kumar and Komal Saxena

14. Big Data Analytics in Precision Agriculture: Improving Decision-Making for Farm Management

Sonali V. Patil, S. Sathish Kumar, Ajith Sundaram et al. 

15. Climate-Smart Agriculture: Leveraging Precision Farming Technologies for Sustainable Food Security

Tejasvini Rahul Katkar, Bhavana Santosh Pansare, S. Bathrinath et al. 

16. The Impact of Variable Rate Technology (VRT) on Soil Health and Crop Yield Optimization

Amol M. Dhepe, Swati Sharma, J. Somasekar et al. 

Part IV: Precision Agriculture: Future Direction

17. Advancing Agricultural Efficiency: An Exploration of Smart Predicting Crop Practices

Ritvik Khurana

18. Digital Innovations in Agriculture: The Socio-Economic Impact of Smart Farming and Renewable Energy Integration

Nidhi Arora, Parveen Kumar Sharma, Poonam Mishra et al. 

19. Edge Computing for Real-Time Precision Agriculture Applications: Challenges and Opportunities

Madhuri Mohanrao Karad, Priyanshi V. Mulwani, Nazeer Shaik et al. 

20. Precision Agriculture as a Tool for Solving Major Global and Regional Problems

Ifeanyichukwu Eze and Amit Verma

21. Smart Soil Systems: Bridging Soil Classification, Precision Farming, and Digital Agriculture in India

Madhu Priya, Devershi Pallavi Bhatt, and Timothy Malche

22. Planting the Future: Traversing the Digital Landscape of Intelligent Farming

Neelu Jain, Monika, Pardeep Kumar et al. 

Biography

Bhoomika Batra is a founder of a research and data analytics academy called EdBhoomi Learning, and a visiting professor, at Alliance University and Wellingkar Institute of Management, Bengaluru, India. Her research interests are in the areas of agriculture, blockchain, neural networks, finance, corporate governance, and digitalization. She is an expert on data analysis and predictive analytics having over three years of experience using tools like IBM SPSS, E-views, STATA, SMART_PLS.

Vinod Kumar Shukla is an associate professor and head, in the School of Engineering Architecture Interior Design, at Amity University, Dubai, UAE. He completed his PhD in the field of Semantic Web and Ontology. He is an active member of IEEE and has published research papers in various reputed journals and conferences. He holds international patents in the broader field of information technology. His areas of research include the Internet of Things, semantic web, computer networking, and network security.

Vaibhav Bhatnagar is an assistant professor in the Department of Computer Applications, at Manipal University Jaipur, India. He has published research articles in journals indexed in Scopus and Web of Science. His areas of research include fog computing, internet of things, data analytics, and machine learning.