Suitability of Satellite Imagery for Surveillance of Maize Ear Damage by Cotton Bollworm (Helicoverpa armigera) Larvae
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Published:2023-12-01
Issue:23
Volume:15
Page:5602
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ISSN:2072-4292
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Container-title:Remote Sensing
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language:en
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Short-container-title:Remote Sensing
Author:
Sári-Barnácz Fruzsina Enikő1, Zalai Mihály1, Toepfer Stefan12, Milics Gábor3, Iványi Dóra12, Tóthné Kun Mariann14, Mészáros János5ORCID, Árvai Mátyás5ORCID, Kiss József1ORCID
Affiliation:
1. Plant Protection Institute, Department of Integrated Plant Protection, Hungarian University of Agriculture and Life Sciences, 2100 Godollo, Hungary 2. CABI, Rue des Grillons 1, 2800 Delemont, Switzerland 3. Institute of Agronomy, Department of Precision Agriculture and Digital Farming, Hungarian University of Agriculture and Life Sciences, 2100 Godollo, Hungary 4. Majsai Farm Ltd., 5900 Oroshaza, Hungary 5. Institute for Soil Sciences, Department of Soil Mapping and Environmental Informatics, HUN-REN Centre for Agricultural Research, Herman Ottó út 15, 1022 Budapest, Hungary
Abstract
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 distribution of the subsequent larval damage. We aim to provide an overview of future approaches to the surveillance of maize ear damage by cotton bollworm larvae based on remote sensing. We focus on finding a near-optimal combination of Landsat 8 or Sentinel-2 spectral bands, vegetation indices, and maize phenology to achieve the best predictions. The study areas were 21 sweet and grain maze fields in Hungary in 2017, 2020, and 2021. Correlations among the percentage of damage and the time series of satellite images were explored. Based on our results, Sentinel-2 satellite imagery is suggested for damage surveillance, as 82% of all the extremes of the correlation coefficients were stronger, and this satellite provided 20–64% more cloud-free images. We identified that the maturity groups of maize are an essential factor in cotton bollworm surveillance. No correlations were found before canopy closure (BBCH 18). Visible bands were the most suitable for damage surveillance in mid–late grain maize (|rmedian| = 0.49–0.51), while the SWIR bands, NDWI, NDVI, and PSRI were suitable in mid–late grain maize fields (|rmedian| = 0.25–0.49) and sweet maize fields (|rmedian| = 0.24–0.41). Our findings aim to support prediction tools for cotton bollworm damage, providing information for the pest management decisions of advisors and farmers.
Funder
Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund
Subject
General Earth and Planetary Sciences
Reference128 articles.
1. Kriticos, D.J., Ota, N., Hutchison, W.D., Beddow, J., Walsh, T., Tay, W.T., Borchert, D.M., Paula-Moreas, S.V., Czepak, C., and Zalucki, M.P. (2015). The Potential Distribution of Invading Helicoverpa armigera in North America: Is It Just a Matter of Time?. PLoS ONE, 10. 2. (2023, September 08). EPPO Global Database. Available online: https://gd.eppo.int/. 3. A Review on Biological Interactions and Management of the Cotton Bollworm, Helicoverpa armigera (Lepidoptera: Noctuidae);Riaz;J. Appl. Entomol.,2021 4. Development of a Pheromone Trap for Monitoring the Cotton Bollworm (Helicoverpa armigera Hbn.) an Upcoming Pest in Hungary;Növényvédelem,1995 5. A Review on the Biology, Ecology, and Management Tactics of Helicoverpa armigera (Lepidoptera: Noctuidae);Yadav;Turk. J. Agric.-Food Sci. Technol.,2022
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