Soil and transport factors in potential distribution systems for biofertilisers derived from palm oil mill residues in Malaysia

Date

2019-10-08

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Department

Type

Article

ISSN

0168-1699

Format

Citation

Truckell IG, Shah SH, Baillie IC, Hallett SH & Sakrabani R (2019) Soil and transport factors in potential distribution systems for biofertilisers derived from palm oil mill residues in Malaysia. Computers and Electronics in Agriculture, Volume 166, November 2019, Article number 105005

Abstract

Oil palm provides an important source of edible oils and fats, accounting for >30% of total global production and >55% of the international trade in these foodstuffs. The palms produce fresh fruit bunches, comprising several hundreds of small fruitlets, which are compressed and steamed to extract the oil. Soil nutrients in oil palm estates become depleted after decades of heavy harvesting and require fertilisers. Liquid palm oil mill effluent, solid empty fruit bunches and other residues can have deleterious environmental impacts and require careful management.

The problems of residue disposal and soil nutrient impoverishment can be linked and managed by composting the oil palm mill residues and distributing the biofertiliser produced back to the plantation. Using case studies from West Malaysia we present an early stage practical tool for the planning of the distribution component of such a cycle. The computer-based tool uses multiple field-based and remote sensing data sources to integrate the effects of local soil conditions, transport distances, environmental protection and management priorities and then models customised distribution plans. The tool operates at plantation level and can be augmented with detailed local data, but the approach is extensible and potentially applicable to regional or national planning.

Description

Software Description

Software Language

Github

Keywords

Palm oil residues, Biofertiliser application, Land suitability modelling, Plantation road mapping, Environmental protection

DOI

Rights

Attribution 4.0 International

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