The application of Artificial Intelligence (AI) has been evident in the agricultural sector
recently. The sector faces numerous challenges in order to maximize its yield including …

In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …

Soybean has been the main Brazilian agricultural commodity, contributing substantially to
the country's trade balance. However, foliar diseases are the key factor that can undermine …

Current methods of broadcast herbicide application cause a negative environmental and
economic impact. Computer vision methods, specifically those related to object detection …

This study aimed to compare and assess different Geographic Object-Based Image Analysis
(GEOBIA) and machine learning algorithms using unmanned aerial vehicles (UAVs) …

Weeds are among the most harmful abiotic factors in agriculture, triggering significant yield
loss worldwide. Remote sensing can detect and map the presence of weeds in various …

Given the importance of olive growing, especially in Mediterranean countries, it is crucial
that there is a constant process of modernization aimed at both environmental sustainability …

Artificial Intelligence (AI) can revolutionize agriculture which impacts a country's economy,
employing more than 30% of the world's population directly or indirectly. It can fulfill the …

Weeds are found on every cropland across the world. Weeds compete for light, water, and
nutrients with attractive plants, introduce illnesses or viruses, and attract harmful insects and …

Robotics will significantly impact large sectors of the economy with relatively low
productivity, such as Agri-Food production. Deploying agricultural robots on the farm is still a …