Journal of Food, Agriculture and Environment

Management zones applied to pear orchard


Claudio Leones Bazzi 1 *, Eduardo Godoy de Souza 2, Márcia Regina Konopatzki 2, Lúcia Helena Pereira Nóbrega 2, Miguel Angel Uribe-Opazo 2

Recieved Date: 2014-09-05, Accepted Date: 2014-12-21


Precision agriculture has been adapted to become feasible even for small producers whose agricultural area is not so expressive. According to the crop potential of an area, the generation of management zones (MZ) comes as possibility to implement precision agriculture. Using conventional equipments, each sub-region receives a specific recommendation optimizing the input application and reducing the cost. Thus, this research aimed at identifying chemical and textural characteristics of soil as well as altimetric data that influenced a pear orchard yield. The data were collected during two years in an experimental area of 1.49 ha. To select the attributes to be used in the MZ generation, two approaches were used: chemical attributes (less stable) and textural and altitude attributes (more stable). MZ were generated with the Fuzzy C-Means algorithm and subsequently evaluated. When two MZ were generated, there was a reduction on variance of yield sample data in most studied MZ. The best results were recorded when two MZ were generated using data of texture, altitude and yield.


Precision agriculture, spatial variability, fuzzy clustering, autocorrelation, cross-correlation

Journal: Journal of Food, Agriculture and Environment
Year: 2015
Volume: 13
Issue: 1
Category: Environment
Pages: 86-92

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