Predictive Analytics in Smart Agriculture
portes grátis
Predictive Analytics in Smart Agriculture
Krishnan, Saravanan; Anand, A.Jose; Ananth, Christo; Goundar, Sam; Prasanth, Narayanan
Taylor & Francis Ltd
12/2023
302
Dura
Inglês
9781032479507
15 a 20 dias
Descrição não disponível.
Chapter 1. Farming Assistance Using Machine Learning and Internet of Things
Chapter 2. Automated Seasonal Crop Mapping and Acreage Estimation Framework Using Machine Learning Algorithms: A Survey
Chapter 3. Artificial Intelligence in Precision Agriculture: A Systematic Review on Tools, Techniques and Applications
Chapter 4. Chatbot for Smart Farming using AI and NLP Techniques
Chapter 5. Soil Analysis and Nutrient Recommendation System Using IoT and Multilayer Perceptron (MLP) Model
Chapter 6. IoT Enabled Smart Irrigation with Machine Learning Models for Precision Farming
Chapter 7. Leaf-CAP: A Capsule Network-based Tea Leaf Disease Recognition and Detection
Chapter 8. Agri Retail Product Management System
Chapter 9. Challenges and Prospects of Implementing Information and Communication Technology for Small-Scale Farmers.
Chapter 10. Navigating Ethical and Legal Challenges in Smart Agriculture: Insights from Farmers
Chapter 11. Decision Support System for Smart Agriculture in Predictive Analysis
Chapter 12. Broad Framework of Digital Twins In Agricultural Domain
Chapter 13. Predictive Analytics of Climate Change: The Future of Global Warming Lies in Data Analytics
Chapter 14. Applications of Drones in Predictive Analytics
Chapter 15. Autonomous Unmanned Ground Vehicles (UGVs) in Smart Agriculture
Chapter 2. Automated Seasonal Crop Mapping and Acreage Estimation Framework Using Machine Learning Algorithms: A Survey
Chapter 3. Artificial Intelligence in Precision Agriculture: A Systematic Review on Tools, Techniques and Applications
Chapter 4. Chatbot for Smart Farming using AI and NLP Techniques
Chapter 5. Soil Analysis and Nutrient Recommendation System Using IoT and Multilayer Perceptron (MLP) Model
Chapter 6. IoT Enabled Smart Irrigation with Machine Learning Models for Precision Farming
Chapter 7. Leaf-CAP: A Capsule Network-based Tea Leaf Disease Recognition and Detection
Chapter 8. Agri Retail Product Management System
Chapter 9. Challenges and Prospects of Implementing Information and Communication Technology for Small-Scale Farmers.
Chapter 10. Navigating Ethical and Legal Challenges in Smart Agriculture: Insights from Farmers
Chapter 11. Decision Support System for Smart Agriculture in Predictive Analysis
Chapter 12. Broad Framework of Digital Twins In Agricultural Domain
Chapter 13. Predictive Analytics of Climate Change: The Future of Global Warming Lies in Data Analytics
Chapter 14. Applications of Drones in Predictive Analytics
Chapter 15. Autonomous Unmanned Ground Vehicles (UGVs) in Smart Agriculture
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
computational agriculture;deep learning models;digital twin systems;autonomous ground vehicles;climate data analytics;natural language processing agriculture;ethical challenges in smart farming
Chapter 1. Farming Assistance Using Machine Learning and Internet of Things
Chapter 2. Automated Seasonal Crop Mapping and Acreage Estimation Framework Using Machine Learning Algorithms: A Survey
Chapter 3. Artificial Intelligence in Precision Agriculture: A Systematic Review on Tools, Techniques and Applications
Chapter 4. Chatbot for Smart Farming using AI and NLP Techniques
Chapter 5. Soil Analysis and Nutrient Recommendation System Using IoT and Multilayer Perceptron (MLP) Model
Chapter 6. IoT Enabled Smart Irrigation with Machine Learning Models for Precision Farming
Chapter 7. Leaf-CAP: A Capsule Network-based Tea Leaf Disease Recognition and Detection
Chapter 8. Agri Retail Product Management System
Chapter 9. Challenges and Prospects of Implementing Information and Communication Technology for Small-Scale Farmers.
Chapter 10. Navigating Ethical and Legal Challenges in Smart Agriculture: Insights from Farmers
Chapter 11. Decision Support System for Smart Agriculture in Predictive Analysis
Chapter 12. Broad Framework of Digital Twins In Agricultural Domain
Chapter 13. Predictive Analytics of Climate Change: The Future of Global Warming Lies in Data Analytics
Chapter 14. Applications of Drones in Predictive Analytics
Chapter 15. Autonomous Unmanned Ground Vehicles (UGVs) in Smart Agriculture
Chapter 2. Automated Seasonal Crop Mapping and Acreage Estimation Framework Using Machine Learning Algorithms: A Survey
Chapter 3. Artificial Intelligence in Precision Agriculture: A Systematic Review on Tools, Techniques and Applications
Chapter 4. Chatbot for Smart Farming using AI and NLP Techniques
Chapter 5. Soil Analysis and Nutrient Recommendation System Using IoT and Multilayer Perceptron (MLP) Model
Chapter 6. IoT Enabled Smart Irrigation with Machine Learning Models for Precision Farming
Chapter 7. Leaf-CAP: A Capsule Network-based Tea Leaf Disease Recognition and Detection
Chapter 8. Agri Retail Product Management System
Chapter 9. Challenges and Prospects of Implementing Information and Communication Technology for Small-Scale Farmers.
Chapter 10. Navigating Ethical and Legal Challenges in Smart Agriculture: Insights from Farmers
Chapter 11. Decision Support System for Smart Agriculture in Predictive Analysis
Chapter 12. Broad Framework of Digital Twins In Agricultural Domain
Chapter 13. Predictive Analytics of Climate Change: The Future of Global Warming Lies in Data Analytics
Chapter 14. Applications of Drones in Predictive Analytics
Chapter 15. Autonomous Unmanned Ground Vehicles (UGVs) in Smart Agriculture
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
