Normalized difference vegetation index for desiccation evaluation with glyphosate + 2,4-D in magnetized spray solution

Abstract

Water magnetization and geoprocessing are increasingly utilized tools in weed management. Our objective was to study the influence of water magnetization on herbicide efficiency and to verify whether there is a relationship between control scores and the normalized difference vegetation index (NDVI). In the laboratory experiment, water was subjected to magnetization and evaluated with respect to four characteristics. In the field experiment, plots of Brachiaria grass were subjected to treatments in a factorial scheme (6 × 2 + 1). Six herbicidal factors (doses of glyphosate and glyphosate + 2,4-D) and the magnetization or absence of magnetization of the spray solution were evaluated and compared against the control treatment (without spraying). Weed control assessments were carried out six times. Images were obtained using an embedded multispectral camera to determine the NDVI values. Data related to water characteristics were analyzed using the t test. Weed control and NDVI data were subjected to analysis of variance and are presented in regression graphs. Dispersion analysis of NDVI data was performed according to the control scores. The magnetization process decreased the pH of the water and increased the surface tension, but it did not influence the control scores or the NDVI. As the glyphosate dose was increased, the control scores were higher and the NDVI values were lower. Magnetized water did not affect the biological efficiency of the herbicides, and there was a strong correlation between the control scores and the NDVI values.

Quick In Situ Evaluation of Herbicide Efficacy in Maize (Zea mays L.) Crop

“…On the contrary, there were no significant differences between the experimental years (ns; p > 0.05). All herbicide treatments reduced the weed NDVI values across the growing seasons, exactly as found in previous studies [20][21][22]. For the first experimental year, the lowest value (0.48) was recorded in plots treated with nicosulfuron + rimsulfuron + dicamba (T3) at 14 DAT.…”

Vegetation Indices for Predicting the Growth and Harvest Rate of Lettuce

“…Research with information extracted from images has revealed high correlations between the indices and different phenotypic characteristics of some crops. In brachiaria grass, a correlation of 0.92 was observed between control (%) and NDVI values extracted using images [48]. In corn, digital images were used to evaluate crop performance [46].…”