Results 11 to 20 of about 3,675,679 (239)
Pest Detection Based on Lightweight Locality-Aware Faster R-CNN
AgronomyAccurate and timely monitoring of pests is an effective way to minimize the negative effects of pests in agriculture. Since deep learning-based methods have achieved good performance in object detection, they have been successfully applied for pest ...
Kai-Run Li +5 more
doaj +2 more sources
YOLO-LCE: A Lightweight YOLOv8 Model for Agricultural Pest Detection
AgronomyAgricultural pest detection through image analysis is a key technology in automated pest-monitoring systems. However, some existing pest detection models face excessive model complexity.
Xinyu Cen, Shenglian Lu, Tingting Qian
doaj +2 more sources
SP-YOLO: A Real-Time and Efficient Multi-Scale Model for Pest Detection in Sugar Beet Fields
InsectsBeet crops are highly vulnerable to pest infestations throughout their growth cycle, which significantly affects crop development and yield. Timely and accurate pest identification is crucial for implementing effective control measures.
Ke Tang +6 more
doaj +2 more sources
, 2023 Efficient pest identification and control is critical for ensuring food safety. Therefore, automatic detection of pests has high practical value for Integrated Pest Management (IPM).
Haiyun Liu +7 more
core +1 more source
Integrated Pest Management for Your Home and Garden: Cover and Front Matter [PDF]
, 2022 NYS IPM Type: Home & Garden GuideFront Cover, Credits, and Table of Contents for Integrated Pest Management for Your Home and Garden: Solutions to Pest Problems in the Northeastern United ...
New York State Integrated Pest Management Program
core +4 more sources
AgriPest-YOLO: A rapid light-trap agricultural pest detection method based on deep learning
Frontiers in Plant Science, 2022 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 variation, complex background and dense distribution of pests in light-trap
Wei Zhang +5 more
doaj +1 more source
A Survey on Pest Detection Systems
Perspectives in Communication, Embedded-Systems and Signal-Processing - PiCES, 2022 Agriculture is backbone of India. With the growth in technology, several implements are being designed and developed to help the farmers to get better yields. Be it harvesting machines or sowing and tilling machines, major players of the industry are giving their best to develop innovative products for these farmers.
M S, Aishwarya +3 more
openaire +2 more sources
A Novel Deep Learning Model for Accurate Pest Detection and Edge Computing Deployment
, 2023 In this work, an attention-mechanism-enhanced method based on a single-stage object detection model was proposed and implemented for the problem of rice pest detection. A multi-scale feature fusion network was first constructed to improve the model’
Zhangli Man +7 more
core +1 more source
Automated Pest Detection with DNN on the Edge for Precision Agriculture [PDF]
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2021 Artificial intelligence has smoothly penetrated several economic activities, especially monitoring and control applications, including the agriculture sector. However, research efforts toward low-power sensing devices with fully functional machine learning (ML) on-board are still fragmented and limited in smart farming.
Albanese, Andrea +2 more
openaire +5 more sources
An Enhanced Insect Pest Counter Based on Saliency Map and Improved Non-Maximum Suppression
Insects, 2021 Accurately counting the number of insect pests from digital images captured on yellow sticky traps remains a challenge in the field of insect pest monitoring.
Qingwen Guo +3 more
doaj +1 more source