Biswaranjan Acharya earned his M.C.A. degree from IGNOU, New Delhi, India, in 2009; an M.Tech. degree in Computer Science and Engineering from Biju Patnaik University of Technology (BPUT), Rourkela, Odisha, India, in 2012; and a Ph.D. in Computer Science from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India, in 2024. He is an assistant professor in the Department of Computer Engineering-AI and BDA at Marwadi University, Gujarat, India. He received a research fellowship at INTI International University from December 15, 2023, to December 31, 2025. He has more than 10 years of academic experience at reputed institutions such as Ravenshaw University and has also worked in the software development industry. He has coauthored more than 70 research articles in internationally reputed journals and serves as a reviewer for several peer-reviewed journals. Additionally, he holds more than 50 patents. His research interests include multiprocessor scheduling, data analytics, computer vision, machine learning, and the Internet of Things (IoT). He is currently serving as a secondary IEEE Computer Society representative to the IEEE Nanotechnology Council (NTC) Administrative Committee and as an observer of the IEEE P2851 Standard for Functional Safety Data Format. He is also associated with various educational and research societies, including IACSIT, CSI, IAENG, and ISC. Google Scholar Profile: Biswaranjan Acharya (ବିଶ୍ୱରଂଜନ ଆଚାର୍ଯ୍ୟ) SMIEEE—Google Scholar.Ankita Bansal is an assistant professor in the Department of Information Technology in Netaji Subhas University of Technology. She has teaching experience of more than 10 years. She was awarded a doctoral degree in Computer Science from Delhi Technological University (DTU, formerly DCE). From the same university, she has earned her master’s degree in Computer Technology and Applications and secured rank 1 in the same. She has published more than 40 papers in reputed international journals and conferences. She has several edited books to her credit. Her research interests are computational intelligence, software testing, software quality, software metrics, developing quality prediction models. Google Scholar: ankita Jain bansal Google Scholar.Abha Jain is an assistant professor in the Department of Computer Science, Dyal Singh College, University of Delhi. Prior to joining the college, she worked as full-time research scholar and received a doctoral research fellowship from Delhi Technological University (formerly Delhi College of Engineering). She earned her master’s and doctorate degrees in Software Engineering from Delhi Technological University. Her research interests are data mining, software quality, and statistical and machine learning models. She has published papers in international journals and conferences.Rachna Jain is as an associate professor at Bhagwan Parshuram Institute of Technology (GGSIPU) since August 2021. She worked as an assistant professor (Computer Science Department) at Bharati Vidyapeeth’s College of Engineering (GGSIPU) from August 2007 to August 2021.She completed her Ph.D. in Computer Science from Banasthali Vidyapith in 2017. She earned her M.E. degree in 2011 from Delhi College of Engineering (Delhi University) with specialization in Computer Technology and Applications. She completed her B.Tech (Computer Science) in 2006 from N.C. College of Engineering, Kurukshetra University. Her current research interests are cloud computing, fuzzy logic, network and information security, swarm intelligence, big data and IoT, deep learning, and machine learning. She has contributed with more than 25 book chapters in various books. She has also served as session chair in various international conferences. She was CO-PI of DST Project titled "Design an autonomous intelligent drone for city surveillance". She has a total of 18 years of academic/research experience with more than 100 publications in various national, international conferences, and international journals (Scopus/ISI/SCI) of high repute. Google Scholar link: Rachna Jain—Google Scholar.Joel J. P. C. Rodrigues is with the Federal University of Piauí, Brazil, and Leader of Center for Intelligence at Fecomércio/CE, Brazil. Prof. Rodrigues is an Highly Cited Researcher (Clarivate), N. 1 of the top scientists in computer science in Brazil (Research.com), the leader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), Member Representative of the IEEE Communications Society on the IEEE Biometrics Council, and the President of the scientific council at ParkUrbis – Covilhã Science and Technology Park. He was Director for Conference Development – IEEE ComSoc Board of Governors, an IEEE Distinguished Lecturer, Technical Activities Committee Chair of the IEEE ComSoc Latin America Region Board, a Past-Chair of the IEEE ComSoc Technical Committee (TC) on eHealth and the TC on Communications Software, a Steering Committee member of the IEEE Life Sciences Technical Community and Publications Co-Chair. He is the editor-in-chief of the International Journal of E-Health and Medical Communications and editorial board member of several high-reputed journals (mainly, from IEEE). He has been general chair and TPC Chair of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. He has authored or coauthored about 1300 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. He had been awarded several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society and several best papers awards. Prof. Rodrigues is a member of the Internet Society, a senior member ACM, and Fellow of AAIA and IEEE.

• 1. Economic Efficiency through Livestock Production Monitoring and Prediction in Smart Agriculture. 2. Smart Crop Management for Increased Yield. 3. Smart Solutions and Sustainability for Agriculture using Deep Learning. 4. Bi-LSTM based Deep Learning Model for Crop Yield Prediction. 5. Food Image Recognition and Calorie Estimation. 6. Precision Agriculture: Navigating Environmental Sustainability. 7. Moving towards Sustainable and Smart Agriculture. 8. Green IOT for Smart Agricultural Monitoring. 9. Agricapital, a three-way agro-market aggregation using Cluster CRUD operations and role of ML in agriculture. 10. Optimizing smart and sustainable agriculture for sustainability. 11. Green IoT for Smart Agricultural Monitoring. 12. Agricultural Farming Decision Support System using Artificial Intelligence: A Comparative Analysis. 13. Drones- the unmanned aerial vehicles for precision management of pests and diseases of crops.

Biswaranjan Acharya earned his M.C.A. degree from IGNOU, New Delhi, India, in 2009; an M.Tech. degree in Computer Science and Engineering from Biju Patnaik University of Technology (BPUT), Rourkela, Odisha, India, in 2012; and a Ph.D. in Computer Science from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India, in 2024. He is an assistant professor in the Department of Computer Engineering-AI and BDA at Marwadi University, Gujarat, India. He received a research fellowship at INTI International University from December 15, 2023, to December 31, 2025. He has more than 10 years of academic experience at reputed institutions such as Ravenshaw University and has also worked in the software development industry. He has coauthored more than 70 research articles in internationally reputed journals and serves as a reviewer for several peer-reviewed journals. Additionally, he holds more than 50 patents. His research interests include multiprocessor scheduling, data analytics, computer vision, machine learning, and the Internet of Things (IoT). He is currently serving as a secondary IEEE Computer Society representative to the IEEE Nanotechnology Council (NTC) Administrative Committee and as an observer of the IEEE P2851 Standard for Functional Safety Data Format. He is also associated with various educational and research societies, including IACSIT, CSI, IAENG, and ISC. Google Scholar Profile: Biswaranjan Acharya (ବିଶ୍ୱରଂଜନ ଆଚାର୍ଯ୍ୟ) SMIEEE—Google Scholar.Ankita Bansal is an assistant professor in the Department of Information Technology in Netaji Subhas University of Technology. She has teaching experience of more than 10 years. She was awarded a doctoral degree in Computer Science from Delhi Technological University (DTU, formerly DCE). From the same university, she has earned her master’s degree in Computer Technology and Applications and secured rank 1 in the same. She has published more than 40 papers in reputed international journals and conferences. She has several edited books to her credit. Her research interests are computational intelligence, software testing, software quality, software metrics, developing quality prediction models. Google Scholar: ankita Jain bansal Google Scholar.Abha Jain is an assistant professor in the Department of Computer Science, Dyal Singh College, University of Delhi. Prior to joining the college, she worked as full-time research scholar and received a doctoral research fellowship from Delhi Technological University (formerly Delhi College of Engineering). She earned her master’s and doctorate degrees in Software Engineering from Delhi Technological University. Her research interests are data mining, software quality, and statistical and machine learning models. She has published papers in international journals and conferences.Rachna Jain is as an associate professor at Bhagwan Parshuram Institute of Technology (GGSIPU) since August 2021. She worked as an assistant professor (Computer Science Department) at Bharati Vidyapeeth’s College of Engineering (GGSIPU) from August 2007 to August 2021.She completed her Ph.D. in Computer Science from Banasthali Vidyapith in 2017. She earned her M.E. degree in 2011 from Delhi College of Engineering (Delhi University) with specialization in Computer Technology and Applications. She completed her B.Tech (Computer Science) in 2006 from N.C. College of Engineering, Kurukshetra University. Her current research interests are cloud computing, fuzzy logic, network and information security, swarm intelligence, big data and IoT, deep learning, and machine learning. She has contributed with more than 25 book chapters in various books. She has also served as session chair in various international conferences. She was CO-PI of DST Project titled "Design an autonomous intelligent drone for city surveillance". She has a total of 18 years of academic/research experience with more than 100 publications in various national, international conferences, and international journals (Scopus/ISI/SCI) of high repute. Google Scholar link: Rachna Jain—Google Scholar.Joel J. P. C. Rodrigues is with the Federal University of Piauí, Brazil, and Leader of Center for Intelligence at Fecomércio/CE, Brazil. Prof. Rodrigues is an Highly Cited Researcher (Clarivate), N. 1 of the top scientists in computer science in Brazil (Research.com), the leader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), Member Representative of the IEEE Communications Society on the IEEE Biometrics Council, and the President of the scientific council at ParkUrbis – Covilhã Science and Technology Park. He was Director for Conference Development – IEEE ComSoc Board of Governors, an IEEE Distinguished Lecturer, Technical Activities Committee Chair of the IEEE ComSoc Latin America Region Board, a Past-Chair of the IEEE ComSoc Technical Committee (TC) on eHealth and the TC on Communications Software, a Steering Committee member of the IEEE Life Sciences Technical Community and Publications Co-Chair. He is the editor-in-chief of the International Journal of E-Health and Medical Communications and editorial board member of several high-reputed journals (mainly, from IEEE). He has been general chair and TPC Chair of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. He has authored or coauthored about 1300 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. He had been awarded several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society and several best papers awards. Prof. Rodrigues is a member of the Internet Society, a senior member ACM, and Fellow of AAIA and IEEE.

• 1. Economic Efficiency through Livestock Production Monitoring and Prediction in Smart Agriculture. 2. Smart Crop Management for Increased Yield. 3. Smart Solutions and Sustainability for Agriculture using Deep Learning. 4. Bi-LSTM based Deep Learning Model for Crop Yield Prediction. 5. Food Image Recognition and Calorie Estimation. 6. Precision Agriculture: Navigating Environmental Sustainability. 7. Moving towards Sustainable and Smart Agriculture. 8. Green IOT for Smart Agricultural Monitoring. 9. Agricapital, a three-way agro-market aggregation using Cluster CRUD operations and role of ML in agriculture. 10. Optimizing smart and sustainable agriculture for sustainability. 11. Green IoT for Smart Agricultural Monitoring. 12. Agricultural Farming Decision Support System using Artificial Intelligence: A Comparative Analysis. 13. Drones- the unmanned aerial vehicles for precision management of pests and diseases of crops.