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Pest Management & Crop Development [PDF]
, 2004 The Bulletin provides timely information about pests and crops throughout Illinois. Our objective is to keep you informed about pest problems and crop development issues and to keep you current regarding the most effective, economic, and environmentally ...
Integrated Pest Management +2 more
core +16 more sources
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
A review of pest surveillance techniques for detecting quarantine pests in
EPPO Bulletin, 2012 This paper provides reviews of the most commonly used methods to detect plant pests belonging to groups of invasive organisms with high economic relevance, including Coleoptera (bark beetles, flathead borers, leaf beetles, longhorn beetles, weevils), Diptera (cone and seed flies, fruit flies), Homoptera (aphids, leafhoppers and psyllids, whiteflies ...
Augustin S. +12 more
openaire +7 more sources
Frontiers in Plant Science, 2022 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 ...
Yue Teng +6 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
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
Remote Sensing, 2023 The cotton bollworm (Helicoverpa armigera, Lepidoptera: Noctuidae) poses significant risks to maize. Changes in the maize plant, such as its phenology, influence the short-distance movement and oviposition of cotton bollworm adults and, thus, the ...
Fruzsina Enikő Sári-Barnácz +8 more
doaj +1 more source
Matching methods to produce maps for pest risk analysis to resources [PDF]
, 2013 Decision support systems (DSSs) for pest risk mapping are invaluable for guiding pest risk analysts seeking to add maps to pest risk analyses (PRAs). Maps can help identify the area of potential establishment, the area at highest risk and the endangered ...
Baker, Richard +9 more
core +1 more source
Machine Vision for Smart Trap Bandwidth Optimization and New Threat Identification
Biology and Life Sciences Forum, 2023 With the rising impact of climate change on agriculture, insect-borne diseases are proliferating. There is a need to monitor the appearance of new vectors to take preventive actions that allow us to reduce the use of chemical pesticides and treatment ...
Pedro Moura +4 more
doaj +1 more source