AI × IoT: increasing agricultural productivity of crops, orchards, and livestock management using smart agricultural space for achieving SDGs

This concluding chapter discusses the development of sensors and sensing technologies within the advancements of the Internet of Things (IoT) and artificial intelligence (AI) to achieve the aims of the sustainable development goals (SDGs) resulting from the outcomes detailed in the previous chapters. Concerning the SDGs, several chapters have also reported on increasing productivity, addressing labor shortages in farming, and optimizing land use planning and water usage in arid lands for climate-smart agriculture. Furthermore, AI × IoT domains in agriculture include robotic research for ultra-labor savings and outdoor and indoor smart farm operations. These four domains can increase agricultural productivity to achieve the SDGs and Society 5.0. Finally, the book’s contents concisely highlight the application of machine learning and deep learning from preharvest to postharvest levels for infield and in-house agricultural production systems, intelligent automation in fruit crops, and evaluation of postharvest efficiency for crops, orchards, livestock, aquaculture, and poultry production.