Using Precision Agriculture (PA) Approach to Select Suitable Final Disposal Sites for Energy Generation

Severe environmental pollution and disease exposure are caused by poor waste management, specifically in urban areas due to urbanization. Additionally, energy shortage has threatened almost all parts of human life in the world. To overcome this problem, a precision agriculture approach using spatial...

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Bibliographic Details
Published inInformation (Basel) Vol. 14; no. 1; p. 8
Main Authors Seminar, Kudang Boro, Nelwan, Leopold Oscar, Budiastra, I Wayan, Sutawijaya, Arya, Wijayanto, Arif Kurnia, Imantho, Harry, Nanda, Muhammad Achirul, Ahamed, Tofael
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2023
Subjects
Agriculture
Alternative energy sources
Biogas
Biomass energy
Cities
Decision making
decision support system
Developing countries
Electricity
Electricity distribution
Energy industry
Geographic information systems
Landfill
LDCs
Municipal solid waste
Population growth
Power
Production increases
Public health
Regional planning
Renewable resources
Spatial data
spatial map visualization
Surface water
Sustainability
Urban areas
Urbanization
Waste disposal
Waste management
Indonesia
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Summary:Severe environmental pollution and disease exposure are caused by poor waste management, specifically in urban areas due to urbanization. Additionally, energy shortage has threatened almost all parts of human life in the world. To overcome this problem, a precision agriculture approach using spatial mapping based on social environmental factors and sustainability principles can be used to find the variability of sites with respect to their suitability for waste disposal and energy generation. Therefore, this study aimed to develop a system for selecting suitable areas for municipal waste disposal and energy generation based on several structured criteria as hierarchical weighted factors. The system prototype was developed and tested in a case study conducted in an Indonesian Megapolitan area. The suitability map produced by the system for waste disposal and energy generation had an accuracy of 84.3%. Furthermore, validation was carried out by ground-checking at 102 location points. A future application of the proposed system is to provide spatial data-based analysis to improve regional planning and policy-making for waste disposal and energy generation in certain areas, particularly in Indonesia.
ISSN:2078-2489
2078-2489
DOI:10.3390/info14010008