Advanced Wireless Sensor Network-Based Transforming Smart Agricultural Systems: Leveraging Artificial Intelligence (AI) and Machine Learning (ML) Applications 2025

The integration of advanced technologies into agriculture is revolutionizing how food is produced, monitored, and managed. As global challenges such as climate change, resource scarcity, and population growth intensify, the need for smart, data-driven agricultural systems has never been greater. The workshop, “Smart Agricultural Systems: Leveraging Artificial Intelligence (AI) and Machine Learning (ML) Applications,” is designed to provide participants with an in-depth understanding of how cutting-edge technologies like AI, ML, and Wireless Sensor Networks (WSNs) can transform agriculture into a sustainable, efficient, and highly productive domain. This workshop serves as a comprehensive platform for learning, discussion, and collaboration. Participants will explore the potential of AI and ML applications in agriculture, ranging from predictive analytics and precision farming to autonomous decision-making systems. Through interactive sessions, hands-on activities, and case studies, this programme aims to equip attendees with the skills and knowledge required to implement smart agricultural systems effectively. Agriculture has traditionally relied on labor-intensive methods and manual decision-making. However, the advent of the Internet of Things (IoT), wireless sensor technologies, and artificial intelligence has ushered in a new era of “smart farming”. Wireless Sensor Networks enable farmers to monitor environmental and crop conditions in real time, collecting critical data such as soil moisture, temperature, humidity, and pest activity. By applying AI and ML algorithms to this data, farmers can make data-driven decisions that optimize resource use, improve crop yields, and reduce waste.

Sub Themes

➢ Wireless Sensor Networks for Agriculture
➢ Artificial Intelligence and Machine Learning Basics
➢ Data Collection, Preprocessing, and Analysis
➢ AI and ML Applications in Agriculture
➢ Sustainability in Agriculture through Technology
➢ Smart Supply Chain and Market Analytics
➢ Hands-on Practical Sessions
➢ Case Studies and Real-World Applications

The integration of advanced technologies into agriculture is revolutionizing how food is produced, monitored, and managed. As global challenges such as climate change, resource scarcity, and population growth intensify, the need for smart, data-driven agricultural systems has never been greater. The workshop, “Smart Agricultural Systems: Leveraging Artificial Intelligence (AI) and Machine Learning (ML) Applications,” is designed to provide participants with an in-depth understanding of how cutting-edge technologies like AI, ML, and Wireless Sensor Networks (WSNs) can transform agriculture into a sustainable, efficient, and highly productive domain. This workshop serves as a comprehensive platform for learning, discussion, and collaboration. Participants will explore the potential of AI and ML applications in agriculture, ranging from predictive analytics and precision farming to autonomous decision-making systems. Through interactive sessions, hands-on activities, and case studies, this programme aims to equip attendees with the skills and knowledge required to implement smart agricultural systems effectively. Agriculture has traditionally relied on labor-intensive methods and manual decision-making. However, the advent of the Internet of Things (IoT), wireless sensor technologies, and artificial intelligence has ushered in a new era of “smart farming”. Wireless Sensor Networks enable farmers to monitor environmental and crop conditions in real time, collecting critical data such as soil moisture, temperature, humidity, and pest activity. By applying AI and ML algorithms to this data, farmers can make data-driven decisions that optimize resource use, improve crop yields, and reduce waste.

Sub Themes

➢ Wireless Sensor Networks for Agriculture
➢ Artificial Intelligence and Machine Learning Basics
➢ Data Collection, Preprocessing, and Analysis
➢ AI and ML Applications in Agriculture
➢ Sustainability in Agriculture through Technology
➢ Smart Supply Chain and Market Analytics
➢ Hands-on Practical Sessions
➢ Case Studies and Real-World Applications

The integration of advanced technologies into agriculture is revolutionizing how food is produced, monitored, and managed. As global challenges such as climate change, resource scarcity, and population growth intensify, the need for smart, data-driven agricultural systems has never been greater. The workshop, “Smart Agricultural Systems: Leveraging Artificial Intelligence (AI) and Machine Learning (ML) Applications,” is designed to provide participants with an in-depth understanding of how cutting-edge technologies like AI, ML, and Wireless Sensor Networks (WSNs) can transform agriculture into a sustainable, efficient, and highly productive domain. This workshop serves as a comprehensive platform for learning, discussion, and collaboration. Participants will explore the potential of AI and ML applications in agriculture, ranging from predictive analytics and precision farming to autonomous decision-making systems. Through interactive sessions, hands-on activities, and case studies, this programme aims to equip attendees with the skills and knowledge required to implement smart agricultural systems effectively. Agriculture has traditionally relied on labor-intensive methods and manual decision-making. However, the advent of the Internet of Things (IoT), wireless sensor technologies, and artificial intelligence has ushered in a new era of “smart farming”. Wireless Sensor Networks enable farmers to monitor environmental and crop conditions in real time, collecting critical data such as soil moisture, temperature, humidity, and pest activity. By applying AI and ML algorithms to this data, farmers can make data-driven decisions that optimize resource use, improve crop yields, and reduce waste.

Sub Themes

➢ Wireless Sensor Networks for Agriculture
➢ Artificial Intelligence and Machine Learning Basics
➢ Data Collection, Preprocessing, and Analysis
➢ AI and ML Applications in Agriculture
➢ Sustainability in Agriculture through Technology
➢ Smart Supply Chain and Market Analytics
➢ Hands-on Practical Sessions
➢ Case Studies and Real-World Applications

➢ Wireless Sensor Networks for Agriculture
➢ Artificial Intelligence and Machine Learning Basics
➢ Data Collection, Preprocessing, and Analysis
➢ AI and ML Applications in Agriculture
➢ Sustainability in Agriculture through Technology
➢ Smart Supply Chain and Market Analytics
➢ Hands-on Practical Sessions
➢ Case Studies and Real-World Applications

Last date of registration : 14.11.2025

Last date for abstract submission : 17.11.2025

Paper acceptance intimation : 19.11.2025

Last date for full paper submission: : 21.11.2025

IEI Corporate Members 472.00
UG / PG / Research Scholar 472.00
Faculty Members 708.00
Participants from Industry 944.00
Name : The Institution of Engineers (India) Coimbatore Local Centre
Bank : State Bank of India
Branch : Peelamedu Branch, Coimbatore
Account No. : 10141435551
IFSC Code : SBIN0007231
GST No. : 33AAATT3439Q6ZW

HITECH Othakkalmandapam (Post) Pollachi Main Road,Coimbatore, TamilNadu, INDIA.