PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification
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DOI: 10.1109/access.2019.2909522
Abstract: Multi-class pest detection is one of the crucial components in pest management involving localization in addition to classification which is much more difficult than generic object detection because of the apparent differences among pest species.… read more here.
Keywords: pest detection; class pest; end; multi class ... See more keywords
Automated Pest Detection With DNN on the Edge for Precision Agriculture
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2021.3101740
Abstract: 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… read more here.
Keywords: pest infestation; pest detection; agriculture; detection dnn ... See more keywords
Crop pest detection by three-scale convolutional neural network with attention
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DOI: 10.1371/journal.pone.0276456
Abstract: Crop pests seriously affect the yield and quality of crop. To timely and accurately control crop pests is particularly crucial for crop security, quality of life and a stable agricultural economy. Crop pest detection in… read more here.
Keywords: crop; crop pest; pest detection; cnn ... See more keywords
Prior knowledge auxiliary for few-shot pest detection in the wild
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.1033544
Abstract: One of the main techniques in smart plant protection is pest detection using deep learning technology, which is convenient, cost-effective, and responsive. However, existing deep-learning-based methods can detect only over a dozen common types of… read more here.
Keywords: prior knowledge; pest detection; knowledge auxiliary; detection ... See more keywords
MSR-RCNN: A Multi-Class Crop Pest Detection Network Based on a Multi-Scale Super-Resolution Feature Enhancement Module
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.810546
Abstract: Pest disaster severely reduces crop yield and recognizing them remains a challenging research topic. Existing methods have not fully considered the pest disaster characteristics including object distribution and position requirement, leading to unsatisfactory performance. To… read more here.
Keywords: multi scale; pest detection; feature; super resolution ... See more keywords
ASP-Det: Toward Appearance-Similar Light-Trap Agricultural Pest Detection and Recognition
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.864045
Abstract: Automatic pest detection and recognition using computer vision techniques are a hot topic in modern intelligent agriculture but suffer from a serious challenge: difficulty distinguishing the targets of similar pests in 2D images. The appearance-similarity… read more here.
Keywords: detection recognition; pest detection; asp det; similarity ... See more keywords
Tea Tree Pest Detection Algorithm Based on Improved Yolov7-Tiny
Sign Up to like & getrecommendations! Published in 2023 at "Agriculture"
DOI: 10.3390/agriculture13051031
Abstract: Timely and accurate identification of tea tree pests is critical for effective tea tree pest control. We collected image data sets of eight common tea tree pests to accurately represent the true appearance of various… read more here.
Keywords: pest detection; tea; model; yolov7 tiny ... See more keywords
Small Pests Detection in Field Crops Using Deep Learning Object Detection
Sign Up to like & getrecommendations! Published in 2023 at "Sustainability"
DOI: 10.3390/su15086815
Abstract: Deep learning algorithms, such as convolutional neural networks (CNNs), have been widely studied and applied in various fields including agriculture. Agriculture is the most important source of food and income in human life. In most… read more here.
Keywords: pest detection; detection; object detection; deep learning ... See more keywords