An Automatic System for Pest Recognition and Forecasting.
Sign Up to like & getrecommendations! Published in 2021 at "Pest management science"
DOI: 10.1002/ps.6684
Abstract: BACKGROUND Pests cause significant damage to agricultural crops and reduce the crop yields. Using manual pest forecasting methods for integrated pest management is a labor intensive and time-consuming process. Here, we present an automatic system… read more here.
Keywords: system pest; system; large fields; automatic system ... See more keywords
Crop pest recognition using attention-embedded lightweight network under field conditions
Sign Up to like & getrecommendations! Published in 2021 at "Applied Entomology and Zoology"
DOI: 10.1007/s13355-021-00732-y
Abstract: Plant pests have a negative effect on crop yields. If the various insect pests are not identified and controlled properly, they can spread quickly and cause a significant decline in agricultural production. To overcome the challenges,… read more here.
Keywords: pest recognition; attention; crop pest; network ... See more keywords
Crop Pest Recognition in Real Agricultural Environment Using Convolutional Neural Networks by a Parallel Attention Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.839572
Abstract: Crop pests are a major agricultural problem worldwide because the severity and extent of their occurrence threaten crop yield. However, traditional pest image segmentation methods are limited, ineffective and time-consuming, which causes difficulty in their… read more here.
Keywords: crop; parallel attention; real agricultural; agricultural environment ... See more keywords