Precision Technologies for Digital Agriculture: Harnessing Iot, Big Data, Crop Modeling, and AI for Agricultural Production

Precision Technologies for Digital Agriculture investigates the growing role of computational and connected approaches in contemporary agricultural environments, bringing together recent findings in artificial intelligence, sensing infrastructures, agroecosystem modeling, and data analytics to illustrate decisive shifts toward more accurate, forward-looking, and responsive decision-making. Early chapters set out the theoretical and technical underpinnings of digital and precision agriculture, addressing automation, data stewardship, privacy, and the development of dependable AI-based tools. These foundations support a detailed overview of key technological building blocks, including remote and proximal sensing, geospatial platforms, machine vision, digital twins, and the Internet of Living Things.

Later sections concentrate on applied methods across field operations. Topics include climate-adaptive, smart irrigation, soil and microbial diagnostics, UAV-enabled monitoring, and algorithmic frameworks to yield estimation and nutrient regulation. Across these chapters, attention is given to both implementation constraints and enabling factors, including interoperability, data security, and scalability. The volume concludes with regionally grounded case studies and economic assessments that explore adoption strategies, governance arrangements, and cost-benefit considerations across diverse crops and production settings.

• Format: Paperback
• Language: English
• ISBN: 0443405131
• ISBN13: 9780443405136
• Release Date: September 2026
• Publisher: Academic Press
• Length: 400 Pages
• Weight: 0.99 lbs.