leonardoagricola/mapfilter2.0

A simple tool to filter out outliers in high spatial density data to improve maps reliability

MAP FILTER 2.0

Overview

MapFilter 2.0 is a free software for analyzing and removing inconsistent data in high density agricultural data sets (data from crop monitor, plant sensors, soil sensors). It is a simple software, with a friendly interface, whose objective is to help users to generate maps related to their cropping areas with greater reliability from the optimization of data quality. It performs the spatial filtering of these data through global and local analysis (isotropic and anisotropic) taking into account the neighborhood values. Visualization of data after filtering allows the user to make a quick analysis of the quality of spatial filtering.

Install

To install the latest version of MapFilter download it from link and run the file:

MapFilter.2.1.exe

Tutorial

English version
Versão em Português

Video is also available on the YouTube channel of the Laboratório de Agricultura de Precisão (ESALQ/USP).

Citation

Maldaner, L. F., Molin, J. P., & Spekken, M. (2021). Methodology to filter out outliers in high spatial density data to improve maps reliability. Scientia Agricola, 79. https://doi.org/10.1590/1678-992X-2020-0178

Contact information

Leonardo Felipe Maldaner
Agricultural Engineer - UFGD
PhD student in Agricultural Systems Engineering - ESALQ USP

Dr. José Paulo Molin
Associate Professor III at the University of São Paulo
Coordinator of the Precision Agriculture Laboratory - LAP

Av. Pádua Dias, 11 – 13418-900 – Piracicaba - SP
Biosystems Engineering Department, USP/ESALQ