Description
Artificial Intelligence in Plant Sciences: Innovations and Applications explores the growing intersection of artificial intelligence, plant biology, and modern agriculture. Designed for students, researchers, educators, and professionals, the book introduces AI concepts in an accessible way before moving into practical applications across plant science.
Readers are introduced to core technologies including machine learning, deep learning, computer vision, natural language processing, big data, IoT, GIS, and remote sensing. The book explains how these tools can support plant genomics, gene discovery, phenotyping, disease identification, stress detection, crop-yield prediction, soil assessment, weed and pest management, and precision agriculture.
A major focus is the use of AI to process complex biological and environmental information. Topics include automated measurement of plant traits, image-based analysis, satellite and drone monitoring, and the integration of genomic, transcriptomic, proteomic, and phenomic datasets. The book also explores smart greenhouses, controlled-environment agriculture, robotics, and data-driven approaches to resource optimization.
Beyond applications, the book considers practical barriers such as data quality, computational demands, technical expertise, cost, privacy, and ethical concerns. It concludes by looking toward AI-enabled autonomous farming, climate-resilient crops, advanced sensing, and increasingly integrated agricultural systems.
An informative resource for anyone seeking to understand how AI can contribute to more efficient, data-driven, and sustainable plant science and agriculture.
