Research Article Open Access

On-board Computer Unit Development for Precision Fertilization in Oil Palm Plantations Based on Data from a Precision Agriculture Platform

Indra Permana Solihin1,2, Kudang Boro Seminar3, Desrial3 and Karlisa Priandana1
  • 1 Department of Computer Science, IPB University, Bogor, Indonesia
  • 2 Department of Informatics, Universitas Pembangunan Nasional Veteran Jakarta, Indonesia
  • 3 Department of Mechanical and Biosystem Engineering, IPB University, Bogor, Indonesia

Abstract

This study aims to develop the function of the On-Board Computer Unit (OBC) device to control the Variable-Rate Fertilizer Application (VRFA) device according to the recommendations of the precision agriculture platform for oil palm (Precipalm) platform integrated into the tractor system. Then, the operational movement of tractors integrated with VRFA is to be modeled using the Dead Reckoning (DR) algorithm to achieve the precision of space and place in the oil palm plantation before being applied to the actual conditions of the oil palm field. Precision agriculture in oil palm plantations can be applied using a mechanization system regulated by OBC devices and developed based on information from Precipalm. Precipalm is an application system based on precision agriculture, using Sentinel 2 satellite data for a fertilization decision support system that produces appropriate fertilization recommendations for plant needs. The results of this study show that the development of OBC can provide a reasonably accurate value for controlling VRFA tools. A liquid flow sensor for output measurement is used to confirm the accuracy of the OBC. Then, values are compared between the predetermined output of Preciplam data and the actual output value of the VRFA system controlled by OBC. The final result of the average percentage comparison value is 0.679% for the element Nitrogen (N), 0.846% for the element Phosphor (P), and 1.915% for the element Potassium (K). The values show that systems controlled by OBC have a very minimal percentage of system error values.

Journal of Computer Science
Volume 20 No. 12, 2024, 1696-1711

DOI: https://doi.org/10.3844/jcssp.2024.1696.1711

Submitted On: 14 May 2024 Published On: 8 November 2024

How to Cite: Solihin, I. P., Seminar, K. B., Desrial, . & Priandana, K. (2024). On-board Computer Unit Development for Precision Fertilization in Oil Palm Plantations Based on Data from a Precision Agriculture Platform. Journal of Computer Science, 20(12), 1696-1711. https://doi.org/10.3844/jcssp.2024.1696.1711

  • 334 Views
  • 163 Downloads
  • 0 Citations

Download

Keywords

  • Dead Reckoning
  • Mechanization System
  • On-Board Computer Unit
  • Precision Agriculture Platform for Oil Palm
  • Variable-Rate Fertilizer Application