Artificial Intelligence and Smart Agriculture Technology and Applications

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data....

Full description

Bibliographic Details
Other Authors: Pandey, Kusum (Editor), Kushwaha, N. L. (Editor), Pande, Chaitanya B. (Editor), Singh, K. G. (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2024, 2024
Edition:1st ed. 2024
Series:Advances in Geographical and Environmental Sciences
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Unmanned Aerial Vehicles (UAV) for Smart Agriculture
  • IoT‐Enabled Unmanned Aerial Vehicle: An Emerging Trend in Precision Farming
  • Smart irrigation management through Unmanned Aerial Vehicles (UAV)
  • Biotic stress management in field crops using artificial intelligence technologies
  • Soilless cultivation: A distinct vision for sustainable agriculture
  • Fertigation management in substrate soilless culture
  • Integration of AI and IoT in Soilless Cultivation to power sustainable agricultural revolution
  • Plant disease detection, diagnosis and management: Recent advances and future perspectives
  • Disease and pest control through advance technology
  • A Critical Analysis of Convolutional Neural Networks for Leaf Disease Detection in Plants
  • Robotic seeding or sowing system in smart agriculture
  • Revolutionizing Crop Yield Prediction: The Synergy of Remote Sensing and Artificial Intelligence Technologies
  • Artificial Intelligence and Smart Farming: An Overview
  • Remote Sensing in Precision Agriculture: Current Status and Applications
  • Revolutionizing Agriculture: Geospatial Technologies and Precision Farming in India
  • Assessment of Water Use Efficiency for Sustainable Water Management by Integration of Remote Sensing and Machine Learning
  • Pathways for Intensified Agriculture Through Sustainable Water Management: Need of an Hour
  • Crop yield prediction using artificial intelligence and remote sensing methods
  • Role of Artificial Intelligence in Revolutionizing Agricultural Technology
  • Weather Intelligence for Climate-resilient Agriculture
  • Big Data Analytics for Improved Weather Forecasting and Disaster Management
  • Crop Monitoring System Integrating with Internet of Things and Artificial Intelligence
  • Soil moisture and temperature management using IoT for sustainable farming
  • Internet of Things (IoTs) Enabled Irrigation Management System for Precision Agriculture
  • Harvesting the Future: Navigating the Challenges and Limitations of AI in Agriculture.