Rice is the most important cereal food crop in the world, and half of the world's population
uses rice as a staple food for its energy source. The yield production qualities and quantities …

Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …

Plant diseases pose a major challenge in the agricultural sector, which affects plant
development and crop productivity. Sugarcane farming is a highly organized part of farming …

The invasion of agricultural diseases and insect pests is a huge difficulty for the growth of
crops. The detection of diseases and pests is a very challenging task. The diversity of …

Agriculture is one of the most crucial sectors, meeting the fundamental food needs of
humanity. Plant diseases increase food economic and food security concerns for countries …

Plant leaf disease detection is critical for long-term agricultural viability. Numerous Artificial
Intelligence (AI) and Machine Learning (ML) technologies have been implemented for …

Rice is an important food crop in China, and diseases and pests are the main factors
threatening its safety, ecology, and efficient production. The development of remote sensing …

In the realm of smart agriculture technology's rapid advancement, the integration of various
sensors and Internet of Things (IoT) devices has become prevalent in the agricultural sector …

Background The occurrence of diseases in rice leaves presents a substantial challenge to
farmers on a global scale, hence jeopardizing the food security of an expanding global …

Crop disease leaf image segmentation (CDLIS) is the premise of disease detection, disease
type recognition and disease degree evaluation. Various convolutional neural networks …