Detection of fusariosis on black pepper plants using multispectral sensor

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dc.creatorDaniel Dourado Lacastagneratte
dc.creatorFernando da Silva Rocha
dc.creatorMaria de Fátima Gonçalves Fernandes
dc.creatorMaria de Fátima Silva Muniz
dc.creatorHugo César Rodrigues Moreira Catão
dc.creatorCarlos Juliano Brant Albuquerque
dc.date.accessioned2023-04-06T14:23:26Z
dc.date.accessioned2025-09-08T22:49:05Z
dc.date.available2023-04-06T14:23:26Z
dc.date.issued2021-01-03
dc.identifier.doihttps://doi.org/10.1007/s41348-020-00409-8
dc.identifier.issn1861-3837
dc.identifier.urihttps://hdl.handle.net/1843/51687
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofJournal of Plant Diseases and Protection
dc.rightsAcesso Restrito
dc.subjectFitopatologia
dc.subjectFusarium
dc.subjectPimenta-do-reino
dc.subjectImagens multiespectrais
dc.subject.otherFusarium solani f. sp. piperis
dc.subject.otherPiper nigrum
dc.subject.otherNDRE
dc.subject.otherNDVI
dc.titleDetection of fusariosis on black pepper plants using multispectral sensor
dc.typeArtigo de periódico
local.citation.epage576
local.citation.spage571
local.citation.volume128
local.description.resumoThe use of UAVs is a promising tool for assessing the incidence and severity of plant diseases in global agriculture. For some diseases, there is a need for a scientific basis to prove the data obtained by these platforms. Therefore, the objective of this study was to test if multispectral sensors were able to detect radiometric changes in plants of black pepper infected with Fusarium solani f. sp. piperis by using NDVI and NDRE indexes. After the images were captured, processed and the indexes calculated, the canopy area of 35 plants with visual symptoms of fusariosis, plus 140 plants close to the diseased ones, plus 35 healthy plants were extracted with its pixels being converted to Excel where the means and differences were calculated. The NDVI index showed the slightest percentage of change between the tested groups, while the NDRE showed higher differences between the groups. By testing the means of each diseased canopy with the nearby plant’s mean, the NDVI detected two diseased plants above the mean, failing to detect them, while the NDRE detected all the diseased plants.
local.publisher.countryBrasil
local.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
local.publisher.initialsUFMG
local.url.externahttps://link.springer.com/article/10.1007/s41348-020-00409-8

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