Artificial Intelligence and Smart Agriculture Applications 1st Edition

Unlock the future of farming with Artificial Intelligence and Smart Agriculture Applications, 1st Edition by — a timely, practical guide that brings AI in agriculture into clear focus for professionals across the agri-food chain. This book opens with accessible explanations of machine learning, computer vision, IoT sensors, remote sensing, drones, and robotics, then moves to real-world applications in precision farming, crop monitoring, pest management, irrigation optimization, and yield prediction.

Readers will gain a solid understanding of how data-driven systems transform decision-making on the farm and in agribusiness. Chapters explore scalable deployment strategies, data pipelines, model validation, and the socioeconomic and ethical considerations essential for responsible implementation. Regional case studies illustrate how smart agriculture adapts to diverse climates and scales—from smallholder farms in Africa and Asia to large commercial operations in Europe and the Americas—making this edition GEO-aware and globally relevant.

Ideal for agronomists, farmers, researchers, agritech entrepreneurs, and policymakers, this 1st Edition equips practitioners with actionable insights to increase productivity, reduce input costs, improve sustainability, and enhance resilience to climate change. Clear diagrams, practical examples, and implementation guidance bridge theory and practice so you can evaluate, adopt, and scale AI solutions in your context.

Stay ahead in the rapidly evolving field of smart farming. Add Artificial Intelligence and Smart Agriculture Applications, 1st Edition by to your professional library today and start turning data into smarter, more sustainable agricultural results.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.