Extraction of Pest Insect Characteristics Present in a Mirasol Pepper (Capsicum annuum L.) Crop by Digital Image Processing
| Autor: | Héctor A. Guerrero-Osuna, Luis Octavio Solís-Sánchez, Carlos Olvera-Olvera, Ma. del Rosario Martinez-Blanco, Celina Lizeth Castañeda-Miranda, Gustavo Espinoza-García, Antonio Del Rio-De Santiago, Luis F. Luque-Vega, Mireya Moreno-Lucio |
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| Rok vydání: | 2021 |
| Předmět: |
Technology
Entomology Bactericera cockerelli QH301-705.5 QC1-999 digital image processing insect features mirasol pepper pests Crop Pepper General Materials Science Biology (General) QD1-999 Instrumentation Fluid Flow and Transfer Processes biology Thrips Physics Process Chemistry and Technology General Engineering Engineering (General). Civil engineering (General) biology.organism_classification Computer Science Applications Chemistry Horticulture Anthonomus PEST analysis TA1-2040 Myzus persicae |
| Zdroj: | Applied Sciences; Volume 11; Issue 23; Pages: 11166 Applied Sciences, Vol 11, Iss 11166, p 11166 (2021) |
| ISSN: | 2076-3417 |
| Popis: | One of the main problems in crops is the presence of pests. Traditionally, sticky yellow traps are used to detect pest insects, and they are then analyzed by a specialist to identify the pest insects present in the crop. To facilitate the identification, classification, and counting of these insects, it is possible to use digital image processing (DIP). This study aims to demonstrate that DIP is useful for extracting invariant characteristics of psyllids (Bactericera cockerelli), thrips (Thrips tabaci), whiteflies (Bemisia tabaci), potato flea beetles (Epitrix cucumeris), pepper weevils (Anthonomus eugenii), and aphids (Myzus persicae). The characteristics (e.g., area, eccentricity, and solidity) help classify insects. DIP includes a first stage that consists of improving the image by changing the levels of color intensity, applying morphological filters, and detecting objects of interest, and a second stage that consists of applying a transformation of invariant scales to extract characteristics of insects, independently of size or orientation. The results were compared with the data obtained from an entomologist, reaching up to 90% precision for the classification of these insects. |
| Databáze: | OpenAIRE |
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