In the last few years, the use of artificial intelligence and technological advances such as
deep learning, new 3D-capable sensors, and edge computing embedded systems have …

The growing global demand for food and the environmental impact caused by agriculture
have made this activity increasingly dependent on electronics, information technology, and …

Due to the rapid emergence and evolution of AI applications, the utilization of smart imaging
devices has increased significantly. Researchers have started using deep learning models …

Classification of fruit and vegetable freshness plays an essential role in the food industry.
Freshness is a fundamental measure of fruit and vegetable quality that directly affects the …

Effective recognition of fruit leaf diseases has a substantial impact on agro‐based
economies. Several fruit diseases exist that badly impact the yield and quality of fruits. A …

Plant diseases may threaten the safety of crops around the world, and timely detection of
crop diseases and accurate determination of disease species are important to protect crop …

Surveillance system is acquiring an ample interest in the field of computer vision. Existing
surveillance system usually relies on optical or wearable sensors for indoor and outdoor …

Climate change and population growth are triggering a digital transformation in agriculture.
Consequently, agri-food supply chains are becoming more intelligent, producing vast …

In recent years, greenhouse development has been innovative in agriculture based on
information systems guidance with accelerated growth. The IoT provides an intelligent …

Agriculture is an important research area in the field of visual recognition by computers.
Plant diseases affect the quality and yields of agriculture. Early-stage identification of crop …