Agronomy (2022) 12 (7 - 1516)

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Fernando Henrique Iost Filho, Juliano de Bastos Pazini, André Dantas de Medeiros, David Luciano Rosalen and Pedro Takao Yamamoto (2022)
Assessment of injury by four major pests in soybean plants using hyperspectral proximal imaging
Agronomy 12 (7 - 1516)
Abstract: Arthropod pests are among the major problems in soybean production and regular field sampling is required as a basis for decision-making for control. However, traditional sampling methods are laborious and time-consuming. Therefore, our goal is to evaluate hyperspectral remote sensing as a tool to establish reflectance patterns from soybean plants infested by various densities of two species of stinkbugs (Euschistus heros and Diceraeus melacanthus (Hemiptera: Pentatomidae)) and two species of caterpillars (Spodoptera eridania and Chrysodeixis includens (Lepidoptera: Noctuidae)). Bioassays were carried out in greenhouses with potted plants placed in cages with 5 plants infested with 0, 2, 5, and 10 insects. Plants were classified according to their reflectance, based on the acquisition of spectral data before and after infestation, using a hyperspectral push-broom spectral camera. Infestation by stinkbugs did not cause significative differences in the reflectance patterns of infested or non-infested plants. In contrast, caterpillars caused changes in the reflectance patterns, which were classified using a deep-learning approach based on a multilayer perceptron artificial neural network. High accuracies were achieved when the models classified low (0 + 2) or high (5 + 10) infestation and presence or absence of insects. This study provides an initial assessment to apply a non-invasive detection method to monitor caterpillars in soybean before causing economic damage.
(The abstract is excluded from the Creative Commons licence and has been copied with permission by the publisher.)
Full text of article
Database assignments for author(s): Pedro T. Yamamoto

Research topic(s) for pests/diseases/weeds:
damage/losses/economics


Pest and/or beneficial records:

Beneficial Pest/Disease/Weed Crop/Product Country Quarant.


Chrysodeixis includens Soybean (Glycine max) Brazil (south)
Euschistus heros Soybean (Glycine max) Brazil (south)
Spodoptera eridania Soybean (Glycine max) Brazil (south)
Dichelops melacanthus Soybean (Glycine max) Brazil (south)