In the face of increasing agricultural demands and environmental concerns, the effective
management of weeds presents a pressing challenge in modern agriculture. Weeds not only …

Segmentation of Agricultural Remote Sensing Images (ARSIs) stands as a pivotal
component within the intelligent development path of agricultural information technology …

Semantic segmentation has been widely used in precision agriculture, such as weed
detection, which is pivotal to increasing crop yields. Various well-established and swiftly …

Intelligent agriculture is critical for guiding agricultural production and enhancing efficiency
through early disease diagnosis, yield estimation, automatic harvest, and postharvest …

The rapid expansion of the world's population has resulted in an increased demand for
agricultural products which necessitates the need to improve crop yields. To enhance crop …

Bean crop and weed detection is a key component of precision agriculture, which can
distinguish between bean crop and weeds. Accurate identification of weeds is essential for …

In light of a growing population and climate change compounding existing pressures on the
agri-food system, there is a growing need to diversify agri-food systems and optimize the …

Maize holds significant importance as a staple food source globally. Increasing maize yield
requires the effective removal of weeds from maize fields, as they pose a detrimental threat …

The influence of spatial resolution on classification accuracy strongly depends on the
research object. With regard to unmanned aerial vehicle (UAV)-based weed mapping …

Plant height is a crucial indicator of crop growth. Rapid measurement of crop height
facilitates the implementation and management of planting strategies, ensuring optimal crop …