The Edge-AI Sensors and Internet of Living Things (IoLT)

This chapter delves into the realm of Edge-AI sensors and their intersection with the Internet of Living Things (IoLT), offering a comprehensive exploration of proximate sensors and their applications. The chapter commences with an introduction, setting the stage for the exploration of cutting-edge technologies that bridge the gap between artificial intelligence and the sensory capabilities of the Internet of Things (IoT). A detailed examination of proximate sensors unfolds, with a focus on innovative devices such as spectrometers, pocket-sized spectrometers, and microwave radio frequency 3D sensors. Each sensor type is dissected to unveil its unique functionalities and potential applications in the context of Edge-AI and IoLT. The chapter presents a compelling case study that demonstrates the practical implications of Edge-AI sensors in agriculture. The study investigates onion irrigation treatment inference using a low-cost Edge-AI sensor, offering insights into the potential for efficient and cost-effective digital agriculture practices. The case study includes a thorough exploration of materials, methods, results, and discussion, culminating in conclusions and suggestions for future research directions.