Intelligent ubiquitous technology as a precision agri-food framework: a proposed framework

Agri-Food is another term for the agriculture-based food sector, which is currently one of Indonesia’s main pillars of the national economy. One of the well-known plants for agricultural-based food processing called Agri-Food in Indonesia is Cocoa. Cocoa is one of the plantation commodities that has...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2022-06, Vol.1041 (1), p.12022
Main Authors: Cahyanto, T A, Wahjuni, S, Sukoco, H, Rahmawan, H, Neyman, S N
Format: Article
Language:English
Subjects:
Agribusiness
Agricultural economics
Agricultural land
Agricultural production
Cocoa
Context
Data processing
Environmental impact
Food
Food plants
Food processing
Food processing industry
Plant diseases
Production costs
Productivity
Sustainability
Technology
Weather
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Summary:Agri-Food is another term for the agriculture-based food sector, which is currently one of Indonesia’s main pillars of the national economy. One of the well-known plants for agricultural-based food processing called Agri-Food in Indonesia is Cocoa. Cocoa is one of the plantation commodities that has an essential role in economic activities in Indonesia. Given the critical role of cocoa as a source of the country’s economy, it must guarantee productivity and quality of cocoa and sustainability. To ensure cocoa productivity and quality sustainability, agricultural activities in today’s era can integrate intelligent ubiquitous technology as a framework for obtaining precise production results. What can measure precision production results from three aspects: increasing agricultural land productivity, reducing production costs, and minimizing the environmental impact. This paper discusses the proposed framework with intelligent ubiquitous technology to support precision agri-food that focuses on context-aware systems. The context-aware system in the proposed framework is expected to become a control center in collecting and processing data in real-time to help farmers make the best decisions regarding weather conditions and diseases caused by plants.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/1041/1/012022