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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.