As COVID-19 spread worldwide, many major grain-producing countries have adopted
measures to restrict their grain exports; food security has aroused great concern from …

Agriculture plays an essential role in Mexico's economy. The agricultural sector has a 2.5%
share of Mexico's gross domestic product. Specifically, tomatoes have become the country's …

As advancements in agricultural technology unfold, machine learning and deep learning
approaches are gaining interest in robust plant disease identification. Early disease …

Rice disease classification is vital during the cultivation of rice crops. However, rice diseases
were initially detected by visual examination from agricultural experts. Later the detection …

Humans depend heavily on agriculture, which is the main source of prosperity. The various
plant diseases that farmers must contend with have constituted a lot of challenges in crop …

Plant growth is inevitably affected by diseases, and one effective method of disease
detection is through the observation of leaf changes. To solve the problem of disease …

Recently, the detection and segmentation of salient objects that attract the attention of
human visual in images is determined by using salient object detection (SOD) techniques …

Tomato leaf disease detection has been a challenge for farmers due to the need for quick
and accurate diagnosis to prevent plant contamination. Traditional approaches such as …

Traditionally farmers monitor their crops employing their senses and experience. However,
the human sensory system is inconsistent due to stress, health, and age. In this paper, we …

The majority of nations have taken initiative to lessen grain exports as COVID-19 has spread
around the globe. Food security has triggered significant worry from a number of …