Big Data Analytics in Agriculture: Algorithms and Applications focuses on quantitative and qualitative assessment using state-of-the-art technology to provide practical improvements to agricultural production. The book provides a complete mapping—from data generation to storage to curation, processing and implementation/application—to produce high-quality reliable information for decision-making. It follows a logical pathway to demonstrate how data contributes to a converging flow of information towards a decision support system and how it can be transformed into actionable steps. The book 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.
- Examines core research issues from different perspectives, such as storage, handling, management, processing and applications within an agricultural framework
- Offers novel research and applications along with computational tools and techniques in development
- Develops a strong integration of ICT and IoT for managing rural assets to deliver improved economic and environmental performance
