Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

With the growing global population, the need for food is expected to grow tremendously in
the next few decades. One of the key tools to address such growing food demand is …

The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …

One of the most widely researched topics in the food industry is bread quality analysis.
Different techniques have been developed to assess the quality characteristics of bakery …

Weeds challenge crops by competing for resources and spreading diseases, impacting crop
yield and quality. Effective weed detection can enhance herbicide application, thus reducing …

The growing demand for flaxseed as a source of healthy edible oil mandates the need for
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …

In recent years, the use of remote sensing data obtained from satellite or unmanned aerial
vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield …

Manual harvesting of coconuts is a highly risky and skill-demanding operation, and the
population of people involved in coconut tree climbing has been steadily decreasing …

Detecting weeds at an early stage is crucial in reducing herbicide usage and preventing
significant losses in agricultural productivity. The emergence of new computer vision …

Drying is one of the common techniques for preserving agri-food product quality. However,
for each product, the appropriate drying parameters should be identified to optimize drying …