Abstract
Cuban agriculture has the growing need to increase its productivity. To achieve this, precision agriculture can play a fundamental role. It is necessary to develop an image processing system able to process all the crops information and calculate vegetation indexes in a satisfactory way. This will entail in accurate measurements of the nitrogen lack, the hydric stress, and the vegetal strength, among other aspects, seeking to improve the accuracy in the care of these aspects. This document reports the results of an investigation pointed to develop a procedure for capturing and processing multispectral aerial images obtained from Unmanned Aerial Vehicles [UAV]. This procedure searched to measure the vegetation indexes of sugarcane crops that may be correlated with the level of vegetal strength, the number of stems, and the foliar mass per lot. We used a USENSE-X8 UAV together with a Sequoia multispectral sensor and the QGIS processing software. The procedure was experimentally validated.
Highlights
During the last years, the availability in the natural resources such as water, air, and soil has been reduced in quality and quantity; on the other hand, the climatic variability has been increased and this has caused several economic losses to both small and large agricultural actors in Cuba
The so-called Precision Agriculture [PA] is an agronomic concept related with crop field management based on the analysis of the crop variability, where its implementation implies the use of current technologies such as Global Positioning Systems [GPS]; sensors; satellites and aerial images; Geographic Information Systems [GIS]; among others to estimate, assess, and understand such variations (Marote, 2010)
The main objective of this work is to perform a multispectral photogrammetry work by using an UAV in the fields of the Territorial Research Station of the Sugarcane [ETICA, Estación Territorial de Investigaciones de la Caña de Azúcar] to elaborate maps with vegetation indexes allowing to assess the vegetal strength and the foliar mass of sugarcane crops sown in a pellic vertisol soil in dry conditions and under a tropical weather
Summary
The availability in the natural resources such as water, air, and soil has been reduced in quality and quantity; on the other hand, the climatic variability has been increased and this has caused several economic losses to both small and large agricultural actors in Cuba. The crop monitoring activity from the imagegathering of has been performed by using sensors transported in the air via manned and unmanned vehicles ( Guo, Kujirai, & Watanabe, 2012; Torres, Gómez, & Jimenez, 2015; Campo, Corrales, & Ledezma, 2015), which entails advantages relative to the use of satellite images. This last because satellite images do not have the temporal and spatial resolution that the crop monitoring activity requires; I. Este trabajo tiene como objetivo realizar un levantamiento fotogramétrico multiespectral, utilizando VANT en las áreas de la Estación Territorial de Investigaciones de la Caña de Azúcar [ETICA] para la elaboración de mapas de índices vegetativos que permitan evaluar el vigor vegetal y la masa foliar de parcelas de caña de azúcar sembradas en suelos del tipo vertisol pélico, en condiciones de secano y bajo un clima tropical
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