Abstract

Modern agricultural technology management is nowadays crucial in terms of the economy and the global market, while food safety, quality control, and environmentally friendly practices should not be neglected. This review aims to give perspectives on applying big data analytic and modern technologies to increase the efficacy and effectiveness of the coffee supply chain throughout the process. It was revealed that several tools such as wireless sensor networks, cloud computing, Internet of Things (IoT), image processing, convolutional neural networks (CNN), and remote sensing could be implemented in and used to improve the coffee supply chain. Those tools could help in reducing cost as well as time for entrepreneurs and create a reliable service for the customer. It can be summarized that in the long term, these modern technologies will be able to assist coffee business management and ensure the sustainable growth for the coffee industry.

Highlights

  • Many problems have arisen in the agricultural sector of Thailand

  • Entrepreneurs are focusing on big data analysis for raising productivity and controlling the quality of the production process system

  • Big data can be applied to operations and operating systems’ control to meet both farmers’ and consumers’ needs

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Summary

Introduction

The agri-products do not meet international standards because of farmers’ lack of knowledge and marketing insight. They cannot be competitive with other entrepreneurs. This will lead to a lack of opportunities for finding new markets and increasing market share in the future [1]. These issues reflect the fact that farmers still lack the tools for sustainable development, in terms of know-how about increasing productivity in the production process in the long term.

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