Open AccessMultispectral image processing in coffee and cocoa crops
Author(s) -
Fabio Alfonso González,
John Jairo Gómez,
Daniel Fermando Amaya
Publication year - 2017
Publication title -
revista cintex
Language(s) - English
Resource type - Journals
eISSN - 2422-2208
pISSN - 0122-350X
DOI - 10.33131/24222208.294
Subject(s) - multispectral image , computer science , software , graphical user interface , process (computing) , precision agriculture , interface (matter) , matlab , radiogram , image processing , agriculture , agricultural engineering , artificial intelligence , image (mathematics) , geography , engineering , electrical engineering , archaeology , bubble , maximum bubble pressure method , parallel computing , programming language , operating system
There is an algorithm presented that uses multispectral images as a result of the processing of images and the MATLAB software. These multispectral images could be applied to cacao and coffee crops, which are not only the most representative type of the region of Santander but also the ones with most economic growth in the last two decades. The strategy of deploying these images also helps to demarcate the dry lands from the better-hydrated ones, which is crucial to develop Precision Farming since it makes it more productive, with fewer losses and with better benefits. The graphical user interface (GUI) was developed in order to facilitate the interaction between the software and the user. On this graphical interface, it is possible to identify the varied applications that could be run and recognized. It is worth mentioning that this process has several stages. It begins from the analysis of a satellite image database, which establishes the characteristics and condition of the crops; from it, it is possible to obtain a more accurate and detailed radiogram that illustrates the reality of each crop.