Affiliation:
1. Universidade Federal de Viçosa, Brazil
Abstract
ABSTRACT Vegetation indexes are important indicators of the health and yield of agricultural crops. Among the sensors used to evaluate vegetation indexes, proximal sensors can be used for real-time decision-making. Thus, the objective of this study was to develop a proximal sensor system based on phototransistors to acquire and store the following vegetation indexes: normalized difference vegetation index, simple ratio, wide dynamic range vegetation index, soil-adjusted vegetation index, and optimized soil-adjusted vegetation index. The sensor system was developed using an analog circuit to acquire reflectance data from red and near-infrared bands. The sensor system was calibrated according to the results of a spectroradiometer, using Zoysia japonica grass as the target. An algorithm that calculates and stores vegetation indexes in a file was developed. The Pearson correlation between the vegetation indexes obtained with the sensor system and the spectroradiometer was evaluated. The vegetation indexes presented a Pearson correlation higher than 0.92 to the estimated values by the spectroradiometer. Under the evaluation conditions, the proposed sensor system could be used to determine all vegetation indexes evaluated.
Subject
Agronomy and Crop Science,Environmental Engineering
Reference27 articles.
1. Beaglebone Black. In: What is Beaglebone Black?,2019
2. Spatial variability of vegetation index and soil properties in an integrated crop-livestock system;Bernardi A. C. de C.;Revista Brasileira de Engenharia Agrícola e Ambiental,2017
3. Evaluating multispectral images and vegetation indices for precision farming applications from UAV images;Candiago S.;Remote Sensing,2015
4. Avaliação dos Índices de Vegetação NDVI, SR e TVI na discriminação de fitofisionomias dos ambientes do Pantanal de Cáceres/MT;Galvanin E. A. S.;Ciência Florestal,2014
5. A simple filtered photodiode instrument for continuous measurement of narrowband NDVI and PRI over vegetated canopies;Garrity S. R.;Agricultural and Forest Meteorology,2010
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献