In modern agriculture, visual recognition systems based on deep learning are arising to
allow autonomous machines to execute field operations in crops. However, for obtaining …

Advances in automation and data science have led agriculturists to seek real-time, high-
quality, high-volume crop data to accelerate crop improvement through breeding and to …

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 …

Climate change and competition among water users are increasingly leading to a reduction
of water availability for irrigation; at the same time, traditionally non-irrigated crops require …

As the global population continues to increase, projected to reach an estimated 9.7 billion
people by 2050, there will be a growing demand for food production and agricultural …

In the next few years, smart farming will reach each and every nook of the world. The
prospects of using unmanned aerial vehicles (UAV) for smart farming are immense …

In adopting state-of-the-art technologies, a domain known in time is Agriculture for fertility
optimization, expense saving, assistance, and environmental safeguard. In this aspect …

Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

Unmanned aerial vehicles have been developed and applied to support agricultural
production management. Compared with piloted aircraft, an Unmanned Aerial Vehicle …

With the ever-increasing importance of dairy and meat production, precision livestock
farming (PLF) using advanced information technologies is emerging to improve farming …