Open AccessWeed mapping using techniques of precision agriculture
Author(s) -
Fernanda Cipriano Rocha,
Antônio Mendes Oliveira Neto,
Eduardo Leonel Bottega,
Naiara Guerra,
Ronicely Pereira Rocha,
Cesar Crispim Vilar
Publication year - 2015
Publication title -
planta daninha
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 31
eISSN - 1806-9681
pISSN - 0100-8358
DOI - 10.1590/s0100-83582015000100018
Subject(s) - weed , population , eleusine indica , mathematics , biology , agronomy , demography , sociology
The aim of this study was to identify and map the weed population in a no-tillage area. Geostatistical techniques were used in the mapping in order to assess this information as a tool for the localized application of herbicides. The area of study is 58.08 hectares wide and was sampled in a fixed square grid (which point spaced 50 m, 232 points) using a GPS receiver. In each point the weeds species and population were analyzed in a square with a 0.25 m2 fixed area. The species Ipomoea grandifolia, Gnaphalium spicatum, Richardia spp. and Emilia sonchifolia have presented no spatial dependence. However, the species Conyza spp., C. echinatus and E. indica have shown a spatial correlation. Among the models tested, the spherical model has shown had a better fit for Conyza spp. and Eleusine indica and the Gaussian model for Cenchrus echinatus. The three species have a clumped spatial distribution. The mapping of weeds can be a tool for localized control, making herbicide use more rational, effective and economical.