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A lightweight rice pest detection algorithm based on improved YOLOv8 [PDF]

open access: yesScientific Reports
Timely and accurate detection of rice pests is highly important for pest control, as well as for improving rice yield and quality. However, owing to the high interclass similarity, significant intraclass age differences, and complex backgrounds among ...
Yong Zheng, Weiheng Zheng, Xia Du
doaj   +4 more sources

YOLO-PEST: a novel rice pest detection approach based on YOLOv5s [PDF]

open access: yesPlant Methods
In rice pest management, accurate pest detection is critical for intelligent agricultural systems, yet challenges like limited dataset availability, pest occlusion, and insufficient small object detection accuracy hinder effective monitoring.
Jun Qiang   +5 more
doaj   +4 more sources

Rice pest identification based on multi-scale double-branch GAN-ResNet. [PDF]

open access: yesFront Plant Sci, 2023
Rice production is crucial to the food security of all human beings, and how rice pests and diseases can be effectively prevented in and timely detected is a hotspot issue in the field of smart agriculture.
Hu K   +6 more
europepmc   +2 more sources

A new deep learning-based technique for rice pest detection using remote sensing. [PDF]

open access: yesPeerJ Comput Sci, 2023
Background Agriculture plays a vital role in the country’s economy and human society. Rice production is mainly focused on financial improvements as it is demanding worldwide.
Hassan SI   +3 more
europepmc   +2 more sources

Dynamic analysis and control of a rice-pest system under transcritical bifurcations [PDF]

open access: yesPeerJ, 2023
A decision model is developed by adopting two control techniques, combining cultural methods and pesticides in a hybrid approach. To control the adverse effects in the long term and to be able to evaluate the extensive use of pesticides on the ...
Sajib Mandal   +3 more
doaj   +3 more sources

Convolutional Rebalancing Network for the Classification of Large Imbalanced Rice Pest and Disease Datasets in the Field. [PDF]

open access: yesFront Plant Sci, 2021
The accurate classification of crop pests and diseases is essential for their prevention and control. However, datasets of pest and disease images collected in the field usually exhibit long-tailed distributions with heavy category imbalance, posing ...
Yang G   +5 more
europepmc   +2 more sources

Insecticide resistance governed by gut symbiosis in a rice pest, Cletus punctiger, under laboratory conditions. [PDF]

open access: yesBiol Lett, 2021
Resistance to toxins in insects is generally thought of as their own genetic trait, but recent studies have revealed that gut microorganisms could mediate resistance by detoxifying phytotoxins and man-made insecticides. By laboratory experiments, we here
Ishigami K, Jang S, Itoh H, Kikuchi Y.
europepmc   +2 more sources

Analysis on outsourcing service behavior of rice pest and disease control based on Heckman selection model-A case study of ten counties in Fujian Province. [PDF]

open access: yesPLoS One, 2021
Under the background of relatively slow agricultural labor transfer and land circulation, agricultural production outsourcing has become the main means of agricultural modernization.
Cai L, Wang L.
europepmc   +2 more sources

CATransU-Net: Cross-attention TransU-Net for field rice pest detection. [PDF]

open access: yesPLoS One
Accurate detection of rice pests in field is a key problem in field pest control. U-Net can effectively extract local image features, and Transformer is good at dealing with long-distance dependencies. A Cross-Attention TransU-Net (CATransU-Net) model is
Lu X, Zhang Y, Zhang C.
europepmc   +2 more sources

Rice pest dataset supports the construction of smart farming systems. [PDF]

open access: yesData Brief
Rice holds a significant position in the global food supply chain, particularly in Asian, African, and Latin American countries. However, rice pests and diseases cause significant damage to the supply and growth of the rice cultivation industry ...
Quach LD, Nguyen QK, Nguyen QA, Lan LTT.
europepmc   +2 more sources

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