Proceedings of the International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026)
International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026)
📍Pune, India🗓️ 2-3 July 2026
161 authors
- Agarwal, Neha
- IndianDeepGuard: Enhancing Deepfake Detection through Cultural and Multi-Modal Context
- Alhat, Rahi
- Artificial Intelligence for a Sustainable Ecosystem: Opportunities, Structural Challenges, and Regulatory Pathways
- Alhat, Rahi
- Rethinking Intellectual Property in the Age of AI: A Policy Framework for Agricultural Biotechnology
- Ambavale, Arush
- Ensemble Machine Learning Framework for Multi-Horizon Electricity Demand Forecasting Across Indian Grid Regions
- Amburle, Ankita
- Next-Generation Educational AI Using Retrieval-Augmented Generation: Research Trends and Open Problems
- Ardhapurkar, Krishna
- Ensemble Machine Learning Framework for Multi-Horizon Electricity Demand Forecasting Across Indian Grid Regions
- Arora, Anushri
- Q-Learning with VLA Perception for Real-World Navigation Using Low-Cost Sensors
- Bafna, Chirag
- Sustainable Investment Trends Among Retail Investor in Pune: - A Behavioral Study on Investment Preferences and the role of Artificial Intelligence in Decision Making
- Bagul, Deven
- Ensemble Machine Learning Framework for Multi-Horizon Electricity Demand Forecasting Across Indian Grid Regions
- Bande, Param
- Q-Learning with VLA Perception for Real-World Navigation Using Low-Cost Sensors
- Barhate, Madhuri Manohar
- Q-Learning with VLA Perception for Real-World Navigation Using Low-Cost Sensors
- Batule, Radhakrishna
- Artificial Intelligence in Precision Agriculture: A Systematic Survey of Technologies, Applications, and Future Research Directions
- Batwal, Kalyani
- Cross-Validated Machine Learning Stacking Ensemble Regression for CCTA-Based Coronary Artery Blockage Prediction
- Behki, Priyanka
- Intelligent Cyber Security Systems Using Machine Learning
- Behki, Priyanka
- Digitizing Campus Activities: Enhancing Transparency and Efficiency in University Event Management
- Belkhode, Snehal
- Cybersecurity Challenges in Digital Agriculture: A Hybrid AI-Based Framework
- Beohar, Kaivalya
- Q-Learning with VLA Perception for Real-World Navigation Using Low-Cost Sensors
- Bewoor, Laxmi
- RAG-LLM Powered Multi-Dataset Machine Learning Framework for Personalized Ayurvedic Migraine Management
- Bhasme, Ashish
- Sustainable Investment Trends Among Retail Investor in Pune: - A Behavioral Study on Investment Preferences and the role of Artificial Intelligence in Decision Making
- Bhilare, Apurva
- Black Boxes in the Field: Trade Secrets, Algorithmic Opacity, and a Tiered Disclosure Framework for AgTech in India
- Bhokare, Arati
- Sustainable Investment Trends Among Retail Investor in Pune: - A Behavioral Study on Investment Preferences and the role of Artificial Intelligence in Decision Making
- Biswas, Akriti
- Hybrid Feature-Based Comparative Analysis of Supervised and Unsupervised ML-Based Intelligent Bot Detection Model for Social Media Data
- Choudhary, Krishna Kumar
- Intelligent Cyber Security Systems Using Machine Learning
- Choudhary, Vishvajeet
- Enhancing Brain Tumor Classification with Explainable AI: A Comparative Study of CNN Model
- Dalal, Abdul Hannan R.
- A Systematic Review of Artificial Intelligence Applications Across the Agricultural Value Chain: Opportunities, Limitations and Ethical Frontiers
- Dalal, Abdul Hannan R.
- A Small Language Model Framework for Intelligent Agricultural Knowledge Retrieval and Context-Aware Decision Support
- Das, Shruti
- Artificial Intelligence for a Sustainable Ecosystem: Opportunities, Structural Challenges, and Regulatory Pathways
- Das, Shruti
- Rethinking Intellectual Property in the Age of AI: A Policy Framework for Agricultural Biotechnology
- Deoghare, Radha
- A Deep Learning-Based Integrated Smart Dairy Farming System for Cattle Health Monitoring and Milk Quality Analysis
- Deshmukh, Mayur
- Geospatial Technology for River Water Quality and Morphological Assessment: A Review of Recent Advances
- Deshpande, Himani
- AI-Based Mango Pest and Disease Detection Using MobileNetV2 with a Web-Integrated Farmer Decision Support Platform
- Devan, Karthika
- Sustainable Investment Trends Among Retail Investor in Pune: - A Behavioral Study on Investment Preferences and the role of Artificial Intelligence in Decision Making
- Dey, Shovon
- Attention-Based BiLSTM with Mutual Information Feature Selection for Improved Solar Radiation Prediction
- Dharmashale, Aditya A.
- Design and Implementation of a Web Platform for Unified Outcome-Based Education Data Management
- Dodke, Akash
- Design and Implementation of a Web Platform for Unified Outcome-Based Education Data Management
- Gautam, Shuchi
- Artificial Intelligence in Precision Agriculture: A Systematic Survey of Technologies, Applications, and Future Research Directions
- Ghadge, Aditya
- Supervised Learning and IoT Sensor-Based Landslide Detection and Early Warning System: Design, Implementation, and Evaluation
- Ghonge, Vilas
- A Hybrid Machine Learning Framework for Crop Yield Prediction Using Multivariate Agro-Climate and Soil Data
- Gophane, Tanishka
- Enhancing Brain Tumor Classification with Explainable AI: A Comparative Study of CNN Model
- Govindaraju, Madhusudhan
- Peer-Review Statements
- Govindpurkar, Shambhavi
- AI-Based Mango Pest and Disease Detection Using MobileNetV2 with a Web-Integrated Farmer Decision Support Platform
- Gurav, Swarangi
- Cross-Validated Machine Learning Stacking Ensemble Regression for CCTA-Based Coronary Artery Blockage Prediction
- Hedke, Sakshi
- RAG-LLM Powered Multi-Dataset Machine Learning Framework for Personalized Ayurvedic Migraine Management
- Hooda, Yash
- Attention-Based BiLSTM with Mutual Information Feature Selection for Improved Solar Radiation Prediction
- Inamdar, Varada
- A Multi-Source AXI4-Stream Arbiter with Priority-Based Flow Control for Heterogeneous AI Systems
- Ingale, Pallavi
- Sustainable Investment Trends Among Retail Investor in Pune: - A Behavioral Study on Investment Preferences and the role of Artificial Intelligence in Decision Making
- Ingale, Sukdeo
- Artificial Intelligence (AI) in Agriculture and Accountability (Liability): A Legal Perspective
- Ingrulkar, Ayush
- Supervised Learning and IoT Sensor-Based Landslide Detection and Early Warning System: Design, Implementation, and Evaluation
- Jalan, Rohan
- A Hybrid Machine Learning Framework for Crop Yield Prediction Using Multivariate Agro-Climate and Soil Data
- Jaswal, Vibhuti
- Governing Intelligent Machines on the Farm Field: Legal and Regulatory Frameworks for Artificial Intelligence in Climate-Smart Agriculture — A Comparative Analysis of India, the European Union and the United States
- Jha, Tamanna
- Intelligent Cyber Security Systems Using Machine Learning
- Joseph, G. Manu
- Black Boxes in the Field: Trade Secrets, Algorithmic Opacity, and a Tiered Disclosure Framework for AgTech in India
- Joseph, Jonathan Sudhir
- Artificial Intelligence in Precision Agriculture: A Systematic Survey of Technologies, Applications, and Future Research Directions
- Kadam, Amit
- Design and Implementation of a Web Platform for Unified Outcome-Based Education Data Management
- Kadukar, Khushbu
- Understanding Gen Z Consumer Purchase Intention for Sustainably Packaged Agri Products
- Kalal, Ashok
- Supervised Learning and IoT Sensor-Based Landslide Detection and Early Warning System: Design, Implementation, and Evaluation
- Kalal, Ashok
- Design and Implementation of a Web Platform for Unified Outcome-Based Education Data Management
- Kale, Siddhi
- Hybrid Feature-Based Comparative Analysis of Supervised and Unsupervised ML-Based Intelligent Bot Detection Model for Social Media Data
- Kanade, Tarun Madan
- Artificial Intelligence in Precision Agriculture: A Systematic Survey of Technologies, Applications, and Future Research Directions
- Kanade, Tarun Madan
- Cybersecurity Challenges in Digital Agriculture: A Hybrid AI-Based Framework
- Kanthe, Ashok
- Next-Generation Educational AI Using Retrieval-Augmented Generation: Research Trends and Open Problems
- Kanthe, Ashok
- Optimization-Enhanced CSI-Aware Mobility Management for 5G and 6G Networks: A Structured Review
- Kapse, Mahesh
- Enhancing Brain Tumor Classification with Explainable AI: A Comparative Study of CNN Model
- Karande, Shrikant
- A Hybrid Machine Learning Framework for Crop Yield Prediction Using Multivariate Agro-Climate and Soil Data
- Kathikar, Padmaja
- Patentability of Genetically Modified Seeds in India: Doctrinal Ambiguities and Regulatory Interface in the light of Monsanto–Nuziveedu Litigation
- Kedar, Tejas
- A Hybrid Machine Learning Framework for Crop Yield Prediction Using Multivariate Agro-Climate and Soil Data
- Khaire, Prajakta
- Design and Implementation of a Web Platform for Unified Outcome-Based Education Data Management
- Khan, Aaysha
- Q-Learning with VLA Perception for Real-World Navigation Using Low-Cost Sensors
- Khan, Sayan
- Attention-Based BiLSTM with Mutual Information Feature Selection for Improved Solar Radiation Prediction
- Khandagale, Dhanali
- A Dynamic Weather-Driven Multi-crop Framework for Crop Water Demand Assessment Using GDD-Based Phenology and Climatic Crop Coefficient Adjustment in Semi-Arid Agriculture
- Khisty, Nilesh
- Early-Season Crop Yield Prediction Using Multi-Sensor Data Fusion: A Review of Emerging Techniques
- Kolhar, Mohammed Danish
- A Systematic Review of Artificial Intelligence Applications Across the Agricultural Value Chain: Opportunities, Limitations and Ethical Frontiers
- Kolhar, Mohammed Danish
- A Small Language Model Framework for Intelligent Agricultural Knowledge Retrieval and Context-Aware Decision Support
- Kondekar, Sarika A.
- Advancements in Crop Phenological Stage Mapping Using Satellite Imagery and Spectral Analysis: A Review
- Kulkarni, Ashwini
- A Multi-Source AXI4-Stream Arbiter with Priority-Based Flow Control for Heterogeneous AI Systems
- Kulkarni, Omkaresh
- Cross-Validated Machine Learning Stacking Ensemble Regression for CCTA-Based Coronary Artery Blockage Prediction
- Kumar, Aayush
- Attention-Based BiLSTM with Mutual Information Feature Selection for Improved Solar Radiation Prediction
- Kumar, Ajay
- Attention-Based BiLSTM with Mutual Information Feature Selection for Improved Solar Radiation Prediction
- Kumar, Gautam
- Attention-Based BiLSTM with Mutual Information Feature Selection for Improved Solar Radiation Prediction
- Kumar, Punit
- Digitizing Campus Activities: Enhancing Transparency and Efficiency in University Event Management
- Kumar, Pushkar
- Enhancing Brain Tumor Classification with Explainable AI: A Comparative Study of CNN Model
- Kumavat, Kavita
- HTTP Flood Detection for Smart Agriculture Using Nginx and Flask
- Kurulekar, Mahesh
- A Dynamic Weather-Driven Multi-crop Framework for Crop Water Demand Assessment Using GDD-Based Phenology and Climatic Crop Coefficient Adjustment in Semi-Arid Agriculture
- Kurulekar, Mahesh
- A Multi-Stage AI Framework for Solar Energy Prediction and Smart Irrigation Scheduling with Economic and Land Optimization
- Kurulekar, Maya
- A Dynamic Weather-Driven Multi-crop Framework for Crop Water Demand Assessment Using GDD-Based Phenology and Climatic Crop Coefficient Adjustment in Semi-Arid Agriculture
- Kurulekar, Maya
- A Multi-Stage AI Framework for Solar Energy Prediction and Smart Irrigation Scheduling with Economic and Land Optimization
- Kurup, Karthik
- Enhancing Brain Tumor Classification with Explainable AI: A Comparative Study of CNN Model
- Kurup, Karthik
- A Comparative Study of CNN, Vision Transformer, and Hybrid Architectures for Psoriasis Image Classification
- Kurup, Karthik
- A Dynamic Weather-Driven Multi-crop Framework for Crop Water Demand Assessment Using GDD-Based Phenology and Climatic Crop Coefficient Adjustment in Semi-Arid Agriculture
- Kurup, Karthik
- A Multi-Stage AI Framework for Solar Energy Prediction and Smart Irrigation Scheduling with Economic and Land Optimization
- Lahoti, Yuvraj
- A Systematic Review of Artificial Intelligence Applications Across the Agricultural Value Chain: Opportunities, Limitations and Ethical Frontiers
- Lahoti, Yuvraj
- A Small Language Model Framework for Intelligent Agricultural Knowledge Retrieval and Context-Aware Decision Support
- Lavhe, Ramesh
- Supervised Learning and IoT Sensor-Based Landslide Detection and Early Warning System: Design, Implementation, and Evaluation
- Lund, Yash
- A Comparative Study of CNN, Vision Transformer, and Hybrid Architectures for Psoriasis Image Classification
- Mahajan, Purushottam
- Cross-Validated Machine Learning Stacking Ensemble Regression for CCTA-Based Coronary Artery Blockage Prediction
- Mehra, Harshit
- Intelligent Cyber Security Systems Using Machine Learning
- Mehta, Arushi M.
- When Algorithms Fail the Farm: Rethinking Liability Frameworks for AI in Agriculture — A Comparative Study of India, the EU, and the United States
- Meshram, Vidula
- AI-Based Mango Pest and Disease Detection Using MobileNetV2 with a Web-Integrated Farmer Decision Support Platform
- Meshram, Vishal
- Peer-Review Statements
- Monpara, Kiah
- IndianDeepGuard: Enhancing Deepfake Detection through Cultural and Multi-Modal Context