With the escalating global challenges of food security and resource sustainability, innovative
solutions like deep learning and computer vision are transforming agricultural practices by …

The advent of cutting-edge techniques such as Computer Vision (CV) and Artificial
Intelligence (AI) have sparked a revolution in the agricultural industry, with applications …

Agricultural sustainability can be attained through vision-enabled autonomous machines
that work together as a phenomenon to ensure global food security. The demand for efficient …

The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

The exponential growth in the world population has led to an ever-increasing demand for
food supplies. This has led to the realization that conventional and traditional methods alone …

Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

With the development of high-throughput phenotyping (HTP) technology, the large amount
of phenotypic data has provided the breeders with new opportunities of accurate and …

Agriculture is one of the high labor occupations around the globe. To meet the population
growth and its demand, with the increase in labor cost, there is a need to explore efficient …

In the evolution of agriculture to its next stage, Agriculture 5.0, artificial intelligence will play a
central role. Controlled-environment agriculture, or CEA, is a special form of urban and …

Unmanned aerial vehicles (UAVs) or flying drones and unmanned ground vehicles can
capture a huge amount of spatial data from an agricultural field. However, efficiently …