A study on evaluation of farmland fertility levels based on optimization of the decision tree algorithm

Author

Liu He ; Cao Liying ; Zhang Xiaoxian ; Li Dexin

Author_Institution

Coll. of Inf. & Technol. Sci., Jilin Agric. Univ., Changchun, China

fYear

2012

fDate

29-31 Dec. 2012

Firstpage

158

Lastpage

161

Abstract

Base on the organic matter, total nitrogen, available phosphorus and potassium content in the cultivated land of The 20 District in Dehui 20, it comes a study on using the decision tree ID3 algorithm for the evaluation of farmland fertility levels. Through experimental analysis, it gets the number of grade 6, grade sub-region soil nutrient content is similar or smaller differences, and significant differences among grades. Fertility Evaluation based on the ID3 algorithm farmland can be used for variable rate fertilization in the guidance of precision agriculture, to provide an effective division for farmland fertility level partition.

Keywords

agriculture; decision trees; nitrogen; pattern classification; phosphorus; potassium; Dehui; ID3 algorithm; K; N; P; decision tree algorithm optimization; decision tree classification method; farmland fertility level evaluation; organic matter; phosphorus content; potassium content; precision agriculture; total nitrogen; variable rate fertilization; decision tree algorithm; fertility level; soil nutrients; variable fertilization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4673-2963-7

Type

conf

DOI

10.1109/ICCSNT.2012.6525911

Filename

6525911