Sustainable Farming through Machine Learning Enhancing Productivity and Efficiency

1 Exploring AI and ML Strategies for Crop Health Monitoring and Management
Preethi Nanjundan, Indu P.V., and Lijo Thomas

2 Enhancing Crop Productivity by Suitable Crop Prediction Using Cutting- Edge Technologies
G. Mamatha and Jyothi S. Nayak

3 Crop Yield Prediction Using Machine Learning Random Forest Algorithm
Suwarna Gothane

4 A Multi- Objective Based Genetic Approach for Increasing Crop Yield on Sustainable Farming
Swadhin Kumar Barisal, Gayatri Nayak, Bijayini Mohanty, Pushkar Kishore, Santilata Champati, and Alakananda Tripathy

5 Drones for Crop Monitoring and Analysis
Preethi Nanjundan, Indu P.V., and Lijo Thomas

6 Decision Support System for Sustainable Farming
Nandini Nenavath, Venkata Krishna Reddy M., and Chintala Sai Akshitha

7 Empowering Agriculture: Harnessing the Potential of AI- Driven Virtual Tutors for Farmer Education and Investment Strategies
Soumya Priyadarshini Mishra and Munmun Mohanty

8 Enhancing Agricultural Ecosystem Surveillance through Autonomous Sensor Networks
P. Venkata Kishore, K. Sree Latha, D. Naveen Kumar, M. Dilip Kumar, S. Vijay Kumar, and K.V.B. Reddy

9 Crop Disease Detection Using Image Analysis
Mohamed Iqbal M., Ramireddy Jyothsna, Somu Preethi Deekshita, and Yaddanapudi Renuka Gayathri

10 Automated Detection of Plant Diseases Utilizing Convolutional Neural Networks
Archisman Panda, Arjav Anil Patel, Muhammad Zakaria Shaik, Sandeep Kumar Satapathy, Sung-Bae Cho, Shruti Mishra, Abishi Chowdhury, and Sachi Nandan Mohanty

11 Apple Leaves Disease Detection Using Deep Learning
Smita Maurya, Arunima Jaiswal, Nitin Sachdeva, and Kanchan Sharma

12 Comprehensive Approaches for a Recommendation System in Precision Agriculture
Ramesh Patra, Mamata Garanayak, and Bijay Kumar Paikaray

13 Advancements in Precision Agriculture: A Machine Learning- Based Approach for Crop Management Optimization
Chinmayee Senapati, Swagatika Senapati, Satyaprakash Swain, Kumar Janardan Patra, Binod Kumar Pattanayak, and Suprava Ranjan Laha

14 Precision Agriculture with Remote Sensing: Integrating Deep Learning for Crop Monitoring
Umarani Nagavelli, T. Sreeja, Srilakshmi V., and M. Vijay Kumar

15 Farmers Guide: Data- Driven Crop Recommendations for Precision and Sustainable Agriculture Using IoT and ML
Swarna Prabha Jena, Fatimun Nisha, Priya Banerjee, Sujata Chakravarty, and Bijay Kumar Paikaray vii

16 Application of Machine Learning in the Analysis and Prediction of Animal Disease
Soumen Nayak, Lambodar Jena, Pranati Palai, Sushruta Mishra, and Manas Kumar Swain

17 Transforming Indian Agriculture: A Machine Learning Approach for Informed Decision- Making and Sustainable Crop Recommendations
Smitta Ranjan Dutta, Sanata Kumar Swain, Amaresh Sahu, and Swayumjit Ray

18 Automated Detection of Water Quality in Smart Cities Using Various Sampling Techniques
Sanket Mishra, T. Anithakumari, and Ojasva Jain

19 Ethical Considerations and Social Implications
Jeethu V. Devasia, Deepanramkumar P., Helensharmila A., and Gokul Yenduri

Biography

Suneeta Satpathy, PhD, is an Associate Professor in the Center for AI & ML, Siksha ‘O’ Anusandhan (Deemed to be) University, Odisha, India. Her research interests include computer forensics, cyber security, data fusion, data mining, big data analysis, decision mining, and machine learning. She has published papers in many international journals and conferences in repute. She has two Indian patents to her credit and is a member of IEEE, CSI, ISTE, OITS, and IE.

Bijay Kumar Paikaray, PhD, is an Associate Professor at the Center for Data Science, Siksha ‘O’ Anusandhan (Deemed to be) University, Odisha. His interests include high- performance computing, information security, machine learning, and IoT.

Ming Yang has a PhD in Computer Science from Wright State University, Dayton, Ohio, US, 2006. Currently he is a Professor in the College of Computing and Software Engineering Kennesaw State University, GA, USA. His research interests include multimedia communication, digital image/ video processing, computer vision, and machine learning.

Arunkumar Balakrishnan, PhD, holds the position of Assistant Professor Senior Grade in the Computer Science and Engineering department at VIT- AP University. He obtained his PhD in Information Science and Engineering from Anna University, Chennai. He possesses 12 years of academic expertise and an additional 6 years of concurrent research experience in the domains of Cryptography, Medical Image Security, Blockchain, and NFT. His research interests encompass Cryptography, Network Security, Medical Image Encryption, Blockchain, lightweight cryptography methods, and NFT.