Agricultural-Centric Computation
portes grátis
Agricultural-Centric Computation
Third International Conference, ICA 2025, Guwahati, India, May 13-16, 2025, Revised Selected Papers
Shekhawat, Hanumant Singh; Goel, Neeraj; Hossain, Anwar; Singh, Dhananjay; Saini, Mukesh Kumar
Springer Nature Switzerland AG
04/2026
321
Mole
Inglês
9783032170828
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Computation;Artificial Intelligence;Machine Learning;IoT;Precision Agriculture;Remote Sensing;Crop-yield;Plant dataset;Plant protection;Disease detection
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
