Phase change materials (PCMs) are widely used in thermal energy storage systems, but
their underlying drawbacks, such as poor heat conductivity and phase transition leakage …

Cotton diseases and pests are essential factors affecting the quality and yield of cotton in
agricultural production. To meet the needs of intelligent agriculture development and solve …

Light traps have been widely used for automatic monitoring of pests in the field as an
alternative to time-consuming and labor-intensive manual investigations. However, the scale …

Object detection in deep learning provides a viable solution for detecting crop-pest-infected
regions. However, existing rectangle-based object detection methods are insufficient to …

Pests are always the main source of field damage and severe crop output losses in
agriculture. Currently, manually classifying and counting pests is time consuming, and …

Pumpkins are a nutritious and globally enjoyed fruit for their rich and earthy flavor. The
biophysical properties of pumpkins play an important role in determining their yield …

Apple trees face various challenges during cultivation. Apple leaves, as the key part of the
apple tree for photosynthesis, occupy most of the area of the tree. Diseases of the leaves …

Real-time detection and identification of orchard pests is related to the economy of the
orchard industry. Using lab picture collections and pictures from web crawling, a dataset of …

Traditional phenotyping relies on experts visually examining plants for physical traits like
size, color, or disease presence. Measurements are taken manually using rulers, scales, or …

Timely and precise farm inspection, which involves the identification and recognition of
harmful insects and diseases, is crucial for safeguarding crop production. Traditional vision …