Harnessing AI to Reshape the Future of Agriculture
portes grátis
Harnessing AI to Reshape the Future of Agriculture
Hamad, Ahmed Alhussaini; Singh, Rashmi; Dutta, Pushan Kumar; Haghi, A. K.
Springer Nature Switzerland AG
02/2026
813
Dura
Inglês
9783032121172
15 a 20 dias
Descrição não disponível.
Advancement in Smart Farming with Respect to Industry 4.0: Harnessing AI to Reshape the Future of Agriculture.- Block chain Technology in Agriculture.- Factoring Satellite and Sensor Integration for Sustainable Crop Monitoring.- Revolutionizing Beekeeping: IoT-Driven Remote Hive Monitoring for Sustainable and Proactive Apiculture Management.- Shaping the Future of Farming with Generative AI.- Advancements in Smart Farming: Using Internet of Things, Artificial Intelligence, Machine Learning, and Deep Learning.- Leveraging Machine Learning and Climate Data for Predictive Crop Modeling and Smart Farming Advisory Systems.- Wavelength-Selective Partial Least Squares Regression of Near-Infrared Spectra for Biopolymer Prediction in Leaves.- A Comprehensive Analysis of GIS-Based Fuzzy Optimization Techniques and Their Impact on Precision Agriculture and Resource Management.- Explainable AI models for Transparent AND Trustworthy Decision-making in Precision agriculture.- LiDAR and IoT Sensor Networks for Climate Aware Yield Forecasting in Agriculture.- Real time temperature monitoring and nutrient delivery for optimal yield using aeroponic systems.- AI-enabled Early Anomaly Detection of Crop Diseases at Real-Field Environments.- Smart Crop Advisory Systems for Pest and Disease Management.- Classification of Healthy and Unhealthy Bell Pepper Crops and Leaves for Precision Agriculture Using Mobile Net V2.- DenseNet-169 and Inception V3 Neural Network for Peanut Leaf Disease Detection.- Effective Harvest Suggestion System based on Expert System.- AI-Driven Solutions for Precision Farming: Crop Selection, Fertilizer Optimization, and Disease Detection using Machine Learning & Deep Learning Models.- Precision Agriculture and Resource Optimization.- Integrating Artificial Intelligence in Climate-Aware Yield Forecasting for Sustainable Precision Agriculture.- AI-Powered Plant Disease Detection and Management in Agriculture.- Cucurbita Pepo Disease Classification Through Attention-Enhanced Deep Learning Models.- Influence of FinTech-Driven Smart Farming and Crop Management on Cost-Effective Sustainable Growth.- Policy, Regulation and International Collaboration to Foster Sustainable Agriculture.- Driving Zero-Carbon Agri-Tourism Innovations for Sustainable Growth.- Food Processing and Preservation: Techniques and Innovations for Reducing Food Waste.- Designing and Implementing Green Energy Systems for Agriculture.- Integrating AI-Powered Soil Health Monitoring with Variable Rate Technology for Sustainable Resource Optimization in Agriculture.- Vision for the Future of Agriculture.- Smart farming in developing economies: Its economic Impacts and policy challenges for farmers.- Convolutional Neural Network for Agricultural Terrain Mapping.- Sugarcane Leaf Disease Detection Using Deep Learning Approaches.- Deep Learning Framework for Early Detection and Management of Plant Diseases.- AQUACROP: IOT enhanced Smart irrigation system.- Drip by Click: Sustainable Irrigation through AI-Enhanced Digital Marketing in Agriculture 5.0.- Leaf Guard: Harnessing Deep Learning for Early Detection of Tea Leaf Diseases.- Agro Scan - A Real Time Plant Disease Detection.- AGRINEXUS: The Hub for Agriculture and Financial Services.
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Sustainable Farming;Precision Agriculture;Artificial Intelligence in Agriculture;Smart Farming Systems;Crop Management
Advancement in Smart Farming with Respect to Industry 4.0: Harnessing AI to Reshape the Future of Agriculture.- Block chain Technology in Agriculture.- Factoring Satellite and Sensor Integration for Sustainable Crop Monitoring.- Revolutionizing Beekeeping: IoT-Driven Remote Hive Monitoring for Sustainable and Proactive Apiculture Management.- Shaping the Future of Farming with Generative AI.- Advancements in Smart Farming: Using Internet of Things, Artificial Intelligence, Machine Learning, and Deep Learning.- Leveraging Machine Learning and Climate Data for Predictive Crop Modeling and Smart Farming Advisory Systems.- Wavelength-Selective Partial Least Squares Regression of Near-Infrared Spectra for Biopolymer Prediction in Leaves.- A Comprehensive Analysis of GIS-Based Fuzzy Optimization Techniques and Their Impact on Precision Agriculture and Resource Management.- Explainable AI models for Transparent AND Trustworthy Decision-making in Precision agriculture.- LiDAR and IoT Sensor Networks for Climate Aware Yield Forecasting in Agriculture.- Real time temperature monitoring and nutrient delivery for optimal yield using aeroponic systems.- AI-enabled Early Anomaly Detection of Crop Diseases at Real-Field Environments.- Smart Crop Advisory Systems for Pest and Disease Management.- Classification of Healthy and Unhealthy Bell Pepper Crops and Leaves for Precision Agriculture Using Mobile Net V2.- DenseNet-169 and Inception V3 Neural Network for Peanut Leaf Disease Detection.- Effective Harvest Suggestion System based on Expert System.- AI-Driven Solutions for Precision Farming: Crop Selection, Fertilizer Optimization, and Disease Detection using Machine Learning & Deep Learning Models.- Precision Agriculture and Resource Optimization.- Integrating Artificial Intelligence in Climate-Aware Yield Forecasting for Sustainable Precision Agriculture.- AI-Powered Plant Disease Detection and Management in Agriculture.- Cucurbita Pepo Disease Classification Through Attention-Enhanced Deep Learning Models.- Influence of FinTech-Driven Smart Farming and Crop Management on Cost-Effective Sustainable Growth.- Policy, Regulation and International Collaboration to Foster Sustainable Agriculture.- Driving Zero-Carbon Agri-Tourism Innovations for Sustainable Growth.- Food Processing and Preservation: Techniques and Innovations for Reducing Food Waste.- Designing and Implementing Green Energy Systems for Agriculture.- Integrating AI-Powered Soil Health Monitoring with Variable Rate Technology for Sustainable Resource Optimization in Agriculture.- Vision for the Future of Agriculture.- Smart farming in developing economies: Its economic Impacts and policy challenges for farmers.- Convolutional Neural Network for Agricultural Terrain Mapping.- Sugarcane Leaf Disease Detection Using Deep Learning Approaches.- Deep Learning Framework for Early Detection and Management of Plant Diseases.- AQUACROP: IOT enhanced Smart irrigation system.- Drip by Click: Sustainable Irrigation through AI-Enhanced Digital Marketing in Agriculture 5.0.- Leaf Guard: Harnessing Deep Learning for Early Detection of Tea Leaf Diseases.- Agro Scan - A Real Time Plant Disease Detection.- AGRINEXUS: The Hub for Agriculture and Financial Services.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
