A spatial analysis of soybean land suitability using spatial decision tree algorithm

Andi Nurkholis; Imas S. Sitanggang

doi:10.1117/12.2541555

24 December 2019 A spatial analysis of soybean land suitability using spatial decision tree algorithm

Andi Nurkholis, Imas S. Sitanggang

Proceedings Volume 11372, Sixth International Symposium on LAPAN-IPB Satellite; 113720I (2019) https://doi.org/10.1117/12.2541555
Event: Sixth International Symposium on LAPAN-IPB Satellite, 2019, Bogor, Indonesia

Abstract

Soybean is one of the national strategic commodities because of its role as an income and nutrition source for Indonesian people. Until now, the performance of soybean agribusiness is still far from expectations, as indicated by stagnant production and increasing import. One of the problems of the soybean production to achieve self-sufficiency is the unavailability of land allocation that is intended explicitly for planting soybean. This work aims to evaluate the soybean land suitability in Bogor District, West Java Province, Indonesia using the spatial decision tree algorithm. The proposed algorithm has been applied to a spatial dataset consisting of a target layer that represents soybean land suitability and seven explanatory layers that represent land characteristics of Bogor District. The result is a spatial decision tree that generated 26 rules with accuracy of 92.73% and the relief variable as the root node.

Citation Download Citation

Andi Nurkholis and Imas S. Sitanggang "A spatial analysis of soybean land suitability using spatial decision tree algorithm", Proc. SPIE 11372, Sixth International Symposium on LAPAN-IPB Satellite, 113720I (24 December 2019); https://doi.org/10.1117/12.2541555

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available