Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
DOI:
https://doi.org/10.33448/rsd-v10i7.16403Keywords:
Coverage plants; Zea mays; Drone; Remote sensing.Abstract
For better control and efficiency of agricultural crops in Brazilian semiarid regions, the use of evaluations with data from remote sensing in conjunction with geographic information systems (GIS) are being widely used. This work aimed to evaluate the response of corn genotypes in a succession cultivation system to vegetation cover plants. The survey was conducted in Areia, Paraíba, Brazil, in the agricultural years of 2018/2019 and 2019/2020. The design was in completely randomized blocks, with four replications, in a 3 × 6 factorial scheme, corresponding to three corn genotypes (Robusto, Pontinha and AG1051) and six cultivation systems [(Brachiaria ruziziensis, millet (Pennisetum glaucum), pigeonpea (Cajanus cajan), Crotalária espectabilis, Crotalária juncea and as witness only the uncovered soil)], totaling 18 treatments. Vegetable indices of Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index and the Color Index of Vegetation Extraction were evaluated. The results showed that to observe differences between the corn genotypes, the use of the Excess Red Vegetative Index is indicated. To observe differences in the effect of cover crops on corn, the Normalized green-Red Difference is indicated.
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Copyright (c) 2021 Tayron Rayan Sobrinho Costa; Marianne Costa de Azevedo; José Eldo Costa; Valéria Fernandes de Oliveira Sousa; Antonio Veimar da Silva; Fábio Mielezrski
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