Artificial Intelligence and Data Sciences for Precision Agriculture

$239.99

Taxes may apply at checkout.

Artificial Intelligence and Data Sciences for Precision Agriculture

Agribusiness and primary industries Geographical information systems, geodata and remote sensing Biotechnology Agricultural science Applied computing

Dinosaur mascot

Collection: Biomedical and Life Sciences

Language: English

Published by: Springer

Published on: 9th January 2026

Format: LCP-protected ePub

ISBN: 9783032127709


Introduction

Global human population is increasing rapidly, and it has been estimated to reach 9.7 billion by the year 2050. With this massive population growth, the greatest challenge is sustainable food production. The traditional agriculture system does not have the capacity to meet growing food demand; therefore, it is emergent to introduce emerging technologies helping the farming community to precisely utilize resources to ensure food security under climate change conditions.

Technological Revolution in Agriculture

The technological revolution of the 21st century has transformed every sector of life with no exception to agriculture. The application of recent technical concepts, i.e., Internet of Things, cloud computing, big data, data mining, and artificial intelligence, has helped the farming community to make smart decisions and actions for resolving complex problems of agriculture.

Precision Agriculture

Precision agriculture involves the utilization of sensors, drones, and satellite imagery for monitoring crop health, soil conditions, and weather patterns. Therefore, integration of artificial intelligence and data science-based technologies can improve sustainability, productivity, and climate resilience.

Data Science in Agriculture

The utilization of data sciences in precision agriculture represents a radical turn toward knowledge-based decision making. The application of data science concepts can help the farming community to optimize resource allocation, monitor crops in real time, enable efficient and timely harvesting, and predict yields. This synergy will not only enhance productivity but can also promote sustainable agricultural practices.

Scope of the Book

The book covers the latest developments in the application of data sciences for precision agriculture. It specifically focuses on technological innovations for improving decision making and covers various fields of data sciences and their application in the agricultural production system.

Show moreShow less