Automatic pest monitoring systems in apple production under changing climatic conditions

D Čirjak, I Miklečić, D Lemić, T Kos, I Pajač Živković - Horticulturae, 2022 - mdpi.com
Apple is one of the most important economic fruit crops in the world. Despite all the
strategies of integrated pest management (IPM), insecticides are still frequently used in its …

A review of recent sensing technologies to detect invertebrates on crops

H Liu, SH Lee, JS Chahl - Precision Agriculture, 2017 - Springer
Precision agriculture needs integrated pest management (IPM), for which detection and
identification of target invertebrate species is a prerequisite. Researchers have been …

An intelligent system for high-density small target pest identification and infestation level determination based on an improved YOLOv5 model

L Sun, Z Cai, K Liang, Y Wang, W Zeng… - Expert Systems with …, 2024 - Elsevier
Purpose: A deep learning-based intelligent system has been developed for the identification
and detection of high-density small target pests with the aim of addressing the limitations …

Automatic detection of individual and touching moths from trap images by combining contour‐based and region‐based segmentation

MC Bakkay, S Chambon, HA Rashwan… - IET Computer …, 2018 - Wiley Online Library
Insect detection is one of the most challenging problems of biometric image processing. This
study focuses on developing a method to detect both individual insects and touching insects …

Segmentation of touching insects based on optical flow and NCuts

Q Yao, Q Liu, TG Dietterich, S Todorovic, J Lin… - biosystems …, 2013 - Elsevier
Counting the number of rice pests captured via light traps each day is very important for
monitoring the population dynamics of rice pests in paddy fields. This paper focuses on …

Construction, implementation and testing of an image identification system using computer vision methods for fruit flies with economic importance (Diptera: Tephritidae …

J Wang, X Chen, X Hou, L Zhou… - Pest management …, 2017 - Wiley Online Library
BACKGROUND Many species of Tephritidae are damaging to fruit, which might negatively
impact international fruit trade. Automatic or semi‐automatic identification of fruit flies are …

Determination of the physiological age in two tephritid fruit fly species using artificial intelligence

GI González-López… - Journal of Economic …, 2022 - academic.oup.com
Abstract The Mexican fruit fly (Anastrepha ludens, Loew, Diptera: Tephritidae) and the
Mediterranean fruit fly (Ceratitis capitata, Wiedemann, Diptera: Tephritidae) are among the …

Recognition of pests on crops with a random subspace classifier

L Roldán-Serrato, T Baydyk, E Kussul… - … Work Conference on …, 2015 - ieeexplore.ieee.org
The purpose of this study is to develop and test a recognition system for the Colorado potato
beetle. This task is very important for localizing the beetles and reducing the pesticide …

[图书][B] Intelligent automation in renewable energy

T Baydyk, E Kussul, DC Wunsch II - 2019 - Springer
The current and future situation of our planet forces us to invest resources in the
development of alternative and sustainable sources of energy, capable of fulfilling the high …

Classification of cotton blind stinkbug based on Gabor wavelet and color moments

J Zhang, L Qi, R Ji, X Yuan, H Li - Transactions of the Chinese …, 2012 - ingentaconnect.com
The method of classifying cotton blind stinkbugs based on Gabor wavelet and color
moments was developed for improving the forecasting and warning of blind stinkbug …