Conclusion and Future Research

This book presented the concept and importance of smart big data toward digital agricultural applications. Smart big data in agricultural applications is an interdisciplinary research topic related to the extraction of meaningful information from plant physiology data, drawing techniques from a variety of fields, such as UAV image processing, deep learning, pattern recognition, high-performance computing, and statistics. Big data can then be filtered and becomes smart big data before being analyzed for insights, which leads to more efficient decision making. Smart big data can be defined as big data that has been (1) collected, (2) preprocessed (such as cleaned, filtered, and prepared for data analysis), (3) actionable information extraction in a smart way. Likewise, the authors proposed the smart big data acquisition platforms, such as small UAVs and Edge-AI sensors. Smart big data cleans and transforms the data into useful information that is valuable and relevant to crops and trees growing status.