ICA 2026 Program

Accepted Papers

Titles and author lists of papers accepted for presentation and publication at ICA 2026.

AgriPerceiver: A Parameter-Efficient Vision-Language Model for Structured Macroscopic Crop Phenotyping

Vatsal Khanna (Annam.ai)*; Davinder Singh (Annam.ai); Kumkum Kwatra (Annam.ai); Samridhi Saini (Dr. B R Ambedkar National Institute of Technology Jalandhar)

GrowthDriverNet-V2: A Driver-Aware Spatio-Temporal Deep Learning Framework for Multi-Temporal SAR–NDVI Crop-Growth Prediction

Romil Parikh (Thadomal Shahani Engineering College)*; Yash Nagdeo (Thadomal Shahani Engineering College); Boomesh Rajpal (Thadomal Shahani Engineering College); Himani Deshpande (Thadomal Shahani Engineering College)

Comparative Evaluation of Random Forest and Support Vector Machine for Crop Classification in Fragmented Croplands using Multi-Temporal SAR Data

Duvvuri Sravani (IIT Hyderabad)*; BVNP Kambhammettu (IIT Hyderabad)

Attention-Enhanced YOLO Architectures for Detection of Brinjal Insect Pests and Diseases

Niranjan Singh (ICAR-National Research Institute for Integrated Pest Management, New Delhi, 110068, India); Meenakshi Malik (ICAR-National Research Institute for Integrated Pest Management, New Delhi, 110068, India); DEVARAMANE RAGHAVENDRA (ICAR-National Research Institute for Integrated Pest Management, New Delhi, 110068, India); PRABHU NARAYAN MEENA (ICAR-National Research Institute for Integrated Pest Management, New Delhi, 110068, India); Mohit Kumar (ICAR-National Research Institute for Integrated Pest Management, New Delhi, 110068, India)*; Niranjan Nayak (ICAR-National Research Institute for Integrated Pest Management, New Delhi, 110068, India); Hera Lal Yadav (ICAR-National Research Institute for Integrated Pest Management, New Delhi, 110068, India)

Can Deep Learning Outperform Classical Machine Learning for Crop Yield Prediction? A Comprehensive Empirical Study on Indian Agricultural Data

Ashray Bagde (YCCE)*

NPSS: An AI-Enabled Digital Platform for Real-Time Pest Surveillance, Early Warning and Decision Support for Sustainable Crop Protection

Meenakshi Malik (NRIIPM, New Delhi)*; Niranjan Singh (ICAR NRIIPM New Delhi); M K Khokhar (ICAR NRIIPM New Delhi); Anoop Kumar (ICAR NRIIPM New Delhi); P N Meena (ICAR NRIIPM New Delhi); Niranjan Nayak (ICAR NRIIPM New Delhi)

From Farmer Empowerment to Market Participation: Using Longitudinal Clickstream Data to Build an Incremental Trust-Evidence Architecture for Digital Agri-food Platforms

Dinesha Senarathna (Widya Pty Ltd)*; Rifana Buhary (Western Sydney University); Athula Ginige (Western Sydney University)

From Laboratory to Field: A Leakage-Controlled Cross-Domain Evaluation Protocol for Plant Disease Recognition

Izbassar Orynbassar

Privacy-Preserving Federated Learning with Edge-IoT for Multi-Farm Soybean Disease Detection in Smallholder Indian Agriculture: A Systematic Review and Framework Proposal

Vijay Kumar Malviya

AI-Based Image Analysis for Quality Assessment of Multiple Grain Crops

Dhritiman Saha

T BUNet: A Boundary Aware Temporal Deep Learning Framework for Agricultural Field Delineation from Multispectral Satellite Imagery

Priyanka T. Avhad

A Healthy Representation Anomaly Detection Framework for Early Recognition of Foliar Diseases in Urdbean (Vigna mungo)

Chandan Kumar Deb

A Low-Cost, Calibration-Driven, Single-Camera Framework for Monitoring and Multi-Plant Canopy Area Estimation in Hydroponics: Demonstrated on Spinach

Shagun Kumar

When Does AI Help on the Farm? A Terrain-Stratified IoT Deployment and Baseline-Benchmarked Forecasting Ablation on Himalayan Terraced Farmland

Sahil Vatsi

AgriGuard: A Rule-Based Validator for Detecting Dangerous Errors in LLM-Generated Agricultural Advisory

Harsh Gujral

Phenology-Assisted Crop Type Mapping Using Sentinel-2 Time-Series Imagery, Machine Learning and Spectral Indices

Chandan M. C.

Machine Learning-Driven Optimisation of Drying Time in Smart Solar Herb Dryers: A Hybrid ANN-RSM Framework with SHAP Interpretability

Prabhas Baral

Dynamic Track Birth: An RGB UAV Framework for Crop-Row Recovery in Fragmented Smallholder Sugarcane Fields

Utkarsh Singh

Building Autonomous IoT and Computer Vision Systems for Crop Monitoring

Anujith A S

A Low-Cost IoT Pipeline for Hydroponic Lettuce: Edge-Deployable Multivariate Fault Detection and Per-Channel Reference Validation

Kartikay

An Efficient Network with Knowledge Distillation and Bayesian Hyperparameter Optimization for Rice Disease and Insect-Pest Detection

Md Ashraful Haque

An Efficient YOLO Architecture with MAS-module for Tomato Disease and Insect-Pest Identification

Md Ashraful Haque (corresponding author, marked *)

Semantic Characterization of Biotic and Abiotic Factors Influencing Rice Plant Disorders: Towards an Agentic AI Framework for Knowledge-Driven Differential Diagnosis

Vishwani Vilochana (corresponding author not marked)

Development of a Low-Cost Computational Sensing Framework and Signal-to-Concentration Model Using a MQ-135 Sensor System for Early Detection of Stored-Product Insect Infestation

R Darlin Prakash (corresponding author, marked *)

Explainable Deep Learning-Based Decision Support System for Sugarcane Leaf Disease Classification and Pesticide Recommendation

Ravesa Akhter (National Institute of Technology Srinagar)*; shabir Sofi (National Institute of Technology Srinagar); Bilal Ahmad (BabaSaheb Bhimrao Ambedkar University Lucknow)

MD2Net: A Lightweight Deep Learning Model for Maize Disease Detection under Diverse Field Conditions

Sahil Pathak (IIT Ropar)*; Sujata Pal (IIT Ropar)

Study on Structural Similarity of Tea Leaf Binary Masks Under Complex Background

Venkatesh M.E. (National Institute of Technology Karnataka, Surathkal, Mangalore, Karnataka, India, 575025)*; Jaidhar C. D. (Information Technology)

From Isolated Drones to a Digital Drone Ecosystem: A Value-Flow Computational Architecture for Scaling Drone Spraying Services in Smallholder Agriculture

Venkata Sivananda Kumar Bolagani (Western Sydney University)*; Athula Ginige (Western Sydney University); Mukti Mishra (Centurion University of Technology and Management, Odisha); Quang Vinh Nguyen (Western Sydney University); Amit Kumar (Centurion University of Technology and Management, Andhra Pradesh)

RootTwin-UQ: Physics-Guided, Uncertainty-Aware Soil-Moisture Forecasting with Sensor-Trust Fail-Safes for Rainfed Agriculture in Jharkhand

Dr. Purushottam Singh (Amity University Jharkhand)*

Predictive Nutrient Management in Sustainable Hydroponic Agriculture Using AI-Powered IoT

Saurabh Yadav (K.P. Institute of Higher Education); Rishik Gupta (COIKOSITY)*; Rahul Singh (COIKOSITY)

Real-Time Multi-Task Coconut Plantation Monitoring Using UAVs and Deep Learning

Nepoleon Keisham (Sri Sivasubramaniya Nadar College of Engineering)*; V.M. Thirukkumaran (Sri Sivasubramaniya Nadar College of Engineering); Nithyapriya . (Sri Sivasubramaniya Nadar College of Engineering); Siva Hari Raj (Sri Sivasubramaniya Nadar College of Engineering); Arige Sumanth (Sri Sivasubramaniya Nadar College of Engineering); Sreehari Veeramachineni (Shiv Nadar University Chennai)

Enabling Maximum-Payload MQTT Transmission on Resource-Constrained IoT Devices for Pollinator Monitoring in Precision Agriculture

Karminder Singh (IIT Ropar)*; Suman Kuamr (IIT Ropar/Electrical)

Explainable Multi-source Hybrid Learning for Wheat Yield Prediction in Punjab, India

Gurpal Singh (CGC University Mohali)*; Prof. (Dr.) Amit Verma (CGC University Mohali)

Deep Learning-Based Plant Disease Detection and Severity Assessment Using Vision Transformer and YOLOv8

Hardik Telangore (Institute of Infrastructure Technology, Research and Management (IITRAM), Ahmedabad.)*; Parikshit Sharma (Institute of Infrastructure Technology, Research and Management (IITRAM), Ahmedabad.); Raj Pandey (Rajiv Gandhi National Aviation University (RGNAU), Amethi); Manish Sharma (Rajiv Gandhi National Aviation University (RGNAU), Amethi); Rahul Kumar (Institute of Infrastructure Technology, Research and Management (IITRAM), Ahmedabad.)

Concept-Level Comparison of Self-Supervised Pretraining Objectives for Insect Pest Recognition

Sakshi Rawat (ICAR-Indian Agricultural Statistics Research Institute)*; Sapna Nigam (ICAR-Indian Agricultural Statistics Research Institute); Alka Arora (ICAR-Indian Agricultural Statistics Research Institute); Pathour R Shashank (ICAR-Indian Agricultural Research Institute); Akshay Amipara (ICAR-Indian Agricultural Statistics Research Institute)

Spatiotemporal Patterns of Forest Loss along the Dhaka-Chittagong (N1) Highway Corridor, Bangladesh: A Remote Sensing-Based Trend and Hot Spot Analysis

Soumit Ray (HSTU)*; Md Mahfuzur Rahman Nuhash (HSTU); Pallab Nag (HSTU)

A Temporal Approach for Apple Scab Disease Progression Assessment Using Longitudinal Leaf Images

Aamir Hilal (National Institute of Technology Srinagar )*; Shabir Ahmad Sofi (National Institute of Technology Srinagar); Neeraj Goel (Indian Institute of Technology, Ropar)

AI/ML-based multi-omics integration reveals developmental gene families and candidate regulators in Beta vulgaris

Vadaparthi Subhash (KL Deemed to be UNiversity, Vijayawada); Harshitha Manneri (KL Deemed to be UNiversity, Vijayawada); MONOJ SUTRADHAR (KL Deemed to be University, Vijayawada)*

Enhanced Agricultural Weed Segmentation Using YOLOv12 with Adaptive Spatial Feature Fusion

Sapna Nigam (ICAR)*

Machine Learning for Field-Specific Fertilizer Quantity Recommendation in Indian Staple Crops

Ali Asghar Khavari (kurukshetra university)*; Shuchita Upadhyaya (kurukshetra university); Pardeep Kumar (kurukshetra university); Monika Poriye (Kurukshetra University)