Purpose This study analyses the literature on artificial intelligence (AI) and its implications
for the agri-food sector. This research aims to identify the current research streams, main …

The diagnosis of diseases in food crops based on machine learning seemed satisfactory
and suitable for use on a large scale. The Convolutional Neural Networks (CNNs) perform …

Agriculture has produced the vast majority of food for the world's population throughout
human history and plays a significant role in the economies of many countries, particularly …

Tomato yield is significantly affected by diseases, which are a continuous challenge for its
production and pose threats to its global supply chain. Automatic and early detection of …

One of the crucial factors in grain storage is appropriate moisture content, which plays a
significant role in reducing storage losses and ensuring quality. However, currently available …

The trend of development of smart farms is aimed at their becoming fully autonomous,
robotic enterprises. The prospects for the intellectualization of agricultural production and …

This research delves into the intricacies of decision-making processes underpinning the
willingness to upgrade technology within the burgeoning domain of intelligent pig farming in …

Ensuring food security has become of paramount importance due to the rising global
population. In particular, the agriculture sector in South Korea faces several challenges such …

The promotion of organic and ecological production seeks the sustainable and competitive
growth of organic crops in countries like Peru. In this context, agro-exportation is …

Image classification is very important in the system of internet of things (IoT), and long-tailed
distribution data are common in our daily life. Extremely imbalanced classes in long-tailed …