عنوان انگلیسی مقاله:
Decision support systems for agriculture 4.0: Survey and challenges
ترجمه فارسی عنوان مقاله:
سیستم های پشتیبانی تصمیم گیری برای کشاورزی 4.0: بررسی و چالش ها
Sciencedirect - Elsevier - Computers and Electronics in Agriculture, 170 (2020) 105256. doi:10.1016/j.compag.2020.105256
Zhaoyu Zhai⁎, José Fernán Martínez, Victoria Beltran, Néstor Lucas Martínez
Undoubtedly, high demands for food from the world-wide growing population are impacting the environment
and putting many pressures on agricultural productivity. Agriculture 4.0, as the fourth evolution in the farming
technology, puts forward four essential requirements: increasing productivity, allocating resources reasonably,
adapting to climate change, and avoiding food waste. As advanced information systems and Internet technologies
are adopted in Agriculture 4.0, enormous farming data, such as meteorological information, soil conditions,
marketing demands, and land uses, can be collected, analyzed, and processed for assisting farmers in
making appropriate decisions and obtaining higher profits. Therefore, agricultural decision support systems for
Agriculture 4.0 has become a very attractive topic for the research community. The objective of this paper aims
at exploring the upcoming challenges of employing agricultural decision support systems in Agriculture 4.0.
Future researchers may improve the decision support systems by overcoming these detected challenges. In this
paper, the systematic literature review technique is used to survey thirteen representative decision support
systems, including their applications for agricultural mission planning, water resources management, climate
change adaptation, and food waste control. Each decision support system is analyzed under a systematic manner.
A comprehensive evaluation is conducted from the aspects of interoperability, scalability, accessibility, usability,
etc. Based on the evaluation result, upcoming challenges are detected and summarized, suggesting the development
trends and demonstrating potential improvements for future research.
Keywords: Agriculture | Smart farming | Decision-making | Decision support systems