Technologies and systems for pest detection and monitoring in stored grain.
Sign Up to like & getrecommendations! Published in 2025 at "Pest management science"
DOI: 10.1002/ps.70258
Abstract: According to statistics, global food losses due to pest damage amount to about 10–30% of total production. Pest damage not only leads to a reduction in food quantity but also results in a decline in… read more here.
Keywords: detection; control; pest detection; rapid detection ... See more keywords
Machine learning for pest detection and infestation prediction: A comprehensive review
Sign Up to like & getrecommendations! Published in 2024 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1551
Abstract: Pests pose a major danger to a variety of industries, including agriculture, public health, and ecosystems. Fast and precise pest detection, as well as the ability to predict infestations, are required for effective pest management… read more here.
Keywords: detection; pest detection; detection infestation; infestation prediction ... See more keywords
Non-Destructive Pest Detection: Innovations and Challenges in Sensing Airborne Semiochemicals.
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DOI: 10.1021/acssensors.4c02049
Abstract: Pests, especially invasive ones, pose significant threats to the global ecosystem, crop security, and agriculture economy. Sensing airborne semiochemicals as a nondestructive detection method has been recognized as a promising strategy to detect the presence… read more here.
Keywords: detection; airborne semiochemicals; pest detection; sensing airborne ... See more keywords
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
Real-Time Pest Detection Using ResNet-50 and Vision Transformer: An IoT-Enabled Mobile Application for Smart Agriculture
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2025.3599533
Abstract: The advent of artificial intelligence (AI) has catalyzed a standard shift in smart agriculture, particularly in the domain of pest detection and disease classification. This study presents a novel hybrid deep learning framework integrating ResNet-50,… read more here.
Keywords: resnet vision; pest detection; iot enabled; agriculture ... See more keywords
Crop pest detection by three-scale convolutional neural network with attention
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
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
Mutual learning with memory for semi-supervised pest detection
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2024.1369696
Abstract: Effectively monitoring pest-infested areas by computer vision is essential in precision agriculture in order to minimize yield losses and create early scientific preventative solutions. However, the scale variation, complex background, and dense distribution of pests… read more here.
Keywords: detection; dataset; pest detection; semi supervised ... See more keywords