Big Data Analytics in Agriculture

Big Data Analytics: Algorithms and Applications in Agriculture focuses on quantitative and qualitative assessment using state-of-the-art technology to provide practical improvements to agricultural production. Exploring the challenge, book provides a complete mapping from data generation to storage to curation, processing and implementation/application produce high-quality and reliable information for decision-making. The book follows a logical pathway to demonstrate how data contribute to a converging flow of information towards a decision support system and how it can be transformed into actionable steps, round concepts of intelligent, fast, technologically, economically, politically and culturally sustainable practices and systems. The book further develops ideas surrounding a strong integration of ICT and IoT to manage rural assets to deliver improved economic and environmental performance in a spatially and temporarily variable environment. Topics addressed include Data-driven Smart farming through IoE, UAV to Smart and Precise irrigation to disease and pest control to microclimatic forecasting to preventive fertigation and chemigation, supply chain analytics to efficient farm analytics.There is an unprecedented data growth due to convergence of social, mobility, analytics and cloud-based applications where every major field of science, agriculture, engineering, is generating and processing extremely large sets of raw data which is impossible to be processed by traditional algorithms and applications. This source of data needs to be identified, transformed and analyzed to unearth hidden insights that could resolve many unsolved problems. Big Data Analytics: Algorithms and Applications examines and addresses core research issues from different perspectives such as storage, handling, management, processing, and applications.