Open Access

Downloads

Download data is not yet available.

Abstract

Increasing demand of agricultural production will occur in the next decades but the available nutrients such as nitrogen, phosphorus and potassium (NPK) are major limiting factors since they are non-renewable. Sustainable cultivation methods require optimal use of resources while achieving high yields at the same time. Crop production planning must therefore take into account the different regional availability and spatial distribution of these nutrients. It also considers the nutritional needs of plants at each stage of their growth. However, high precision predictions in agricultural planning are not feasible because of uncertainties in data and the complexity of the processes, farmers tend to apply chemical fertilizer based on experience. Decision support systems based on fuzzy methods are therefore a convenient approach to deal with uncertainties in crop planning and resources management. In this paper, maps for the yield potential of pepper are generated in dependence on growth stage specific demands for nutrients. The maps are developed based on the combination of multicriteria analysis and Fuzzy Logic algorithm and GIS method for visualization. GIS soil nutrients data were used as the inputs into the system. The resulting maps constitute a sound basis for regional and site specific production planning of pepper.



Author's Affiliation
Article Details

Issue: Vol 5 No 2 (2021)
Page No.: In press
Published: Oct 10, 2021
Section: Original Research
DOI: https://doi.org/10.32508/stdjsee.v5i2.631

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Nguyen, T., Nguyen, S., & Nguyen, A. (2021). Site nutrient suitability mapping for potential Pepper cultivation with the application of spatial fuzzy multi‑criteria decision analysis and GIS. Science & Technology Development Journal - Science of The Earth & Environment, 5(2), In press. https://doi.org/https://doi.org/10.32508/stdjsee.v5i2.631

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 48 times
Online first   = 15 times
Total   = 15 times