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E-raamat: Agricultural-Centric Computation: Third International Conference, ICA 2025, Guwahati, India, May 13-16, 2025, Revised Selected Papers

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This book constitutes the proceedings of the Third International Conference on Agricultural-Centric Computation, ICA 2025, held in Guwahati, India, during May 1316, 2025.



The 25 full papers and 3 short papers included in this volume were carefully reviewed and selected from 115 submissions. They were organized under the following thematic areas: AI & Machine Learning in Agriculture, IoT and Sensor Networks for Smart Farming, Robotics and Automation, Climate-Resilient and Sustainable Technologies, and Precision Agriculture and Data Analytics.
Assessing Multi-Mode Temporal PolSAR Data for Winter Wheat and Barley
Discrimination Using Convolutional Neural Networks.- Early Disease Detection
in Pearl Millet Using YOLO v11 Model for Improved Agricultural Monitoring.-
AgriFed: A Federated Learning Approach for Scalable and Secure Crop Disease
Detection.- Remote Sensing and Environmental parameter analysis of Rajpura,
Punjab using GIS for Precision farming application.- Optimal Hyperspectral
Band selection using Amended Lyrebird optimization algorithm.- Optimally
Designed High-Efficiency Drone-Based Spray System for Precision Nutrient
Delivery in Agricultural Farms.- Assessing applicability and adoption of
agriculture-centric computation technologies in Punjab: A multi-district
farmer survey.- A Model Based Comparative Study for Conventional and Drone
Based Farming: Case Studies from India.- Enhancing Large Language Model
Performance for Agricultural Domain Translation via Specialised Dictionaries
and Embeddings.- A Detailed Perspective on Vertical Farming An Innovative
Agricultural Trend with AI/ML and Smart Robotics.- LeADS (Leaf Anomaly
Detection System):Deep Learning Pipeline for Leaf Stress, Disease & Severity
Estimation.- Enhancing Agricultural Intelligence: A Comparison of AI Models
for Plant Disease Categorisation and Crop Yield Prediction.- Integration of
Mechanical Systems and IoT for Smart and Climate-Resilient Irrigation in
Agriculture.- Deep Learning-Based Framework for Early Detection and
Classification of Mango Crop Diseases.- Residual Biomass Utilization: A
Review on Newly Emerging Techniques for Mitigating Climate Change.- NIR
spectroscopy based non-invasive assessment of tea quality.- Comparative
Analysis of DSSAT and APSIM Crop Models for Wheat Yield Prediction in
Chhattisgarh State of India.- An IoT Smart Irrigation System using Raspberry
Pi and ThingSpeak: Design, Implementation, and Validation.- Quantum
Reinforcement Learning Framework for Agricultural Seed Treatment Optimization
and Yield Prediction.- Multimodal Fusion for Cow Behavior Prediction.-
Real-Time DEM-Based Terrain and Step Farming Suitability Analysis via
Geospatial Processing in VR.- Swarm Robotics for Agricultural Drones: A
Transformative Approach to Smart Farming.- Sodium Ion Detection using
Polymer-Based Sensor for Monitoring Soil Health in Agriculture.- LEAFNET
Model for Early Crop Disease Detection: Integrating CNNs and Vision Approach
in Precision Agriculture.- Energy Consumption Analysis for a Robotic Arm in
Vertical Farming Process: An Experimental Validation.- AgriRover: A
GPS-Guided Smart Rover for Environmental Monitoring.- Optimized Conv-LSTM
Model for Analyzing Negative Affective State Vocalization in Dairy Cattle for
an Edge Device.- Drone RCS Statistical Behaviour and its Implications for
Agriculture Drones Air Traffic Management.