Abstract
The 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.
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Lacastagneratte, D.D., Rocha, F.d., Fernandes, M.d.G. et al. Detection of fusariosis on black pepper plants using multispectral sensor. J Plant Dis Prot 128, 571–576 (2021). https://doi.org/10.1007/s41348-020-00409-8
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DOI: https://doi.org/10.1007/s41348-020-00409-8