Thilakarathne Navod Neranjan, Abu Bakar Muhammad Saifullah, Abas Pg Emeroylariffion, Yassin Hayati
Faculty of Integrated Technologies, Universiti Brunei Darussalam, Gadong, BE1410, Brunei.
Heliyon. 2025 Jan 22;11(3):e42136. doi: 10.1016/j.heliyon.2025.e42136. eCollection 2025 Feb 15.
It is no wonder that agriculture plays a vital role in the development of some countries when their economies rely on agricultural activities and the production of food for human survival. Owing to the ever-increasing world population, estimated at 7.9 billion in 2022, feeding this number of people has become a concern due to the current rate of agricultural food production subjected to various reasons. The advent of the Internet of Things (IoT) based technologies in the 21st century has led to the reshaping of every industry, including agriculture, and has paved the way for smart agriculture, with the technology used towards automating and controlling most aspects of traditional agriculture. Smart agriculture, interchangeably known as smart farming, utilizes IoT and related enabling technologies such as cloud computing, artificial intelligence, and big data in agriculture and offers the potential to enhance agricultural operations by automating and making intelligent decisions, resulting in increased efficiency and a better yield with minimum waste. Consequently, most governments are spending more money and offering incentives to switch from traditional to smart agriculture. Nonetheless, the COVID-19 global pandemic served as a catalyst for change in the agriculture industry, driving a shift toward greater reliance on technology over traditional labor for agricultural tasks. In this regard, this research aims to synthesize the current knowledge of smart agriculture, highlighting its current status, main components, latest application areas, advanced agricultural practices, hardware and software used, success stores, potential challenges, and countermeasures to them, and future trends, for the growth of the industry as well as a reference to future research.
当一些国家的经济依赖农业活动以及为人类生存提供食物的生产时,农业在这些国家的发展中发挥着至关重要的作用就不足为奇了。由于世界人口不断增长,2022年估计达到79亿,鉴于目前受各种因素影响的农业粮食生产速度,养活这么多人口已成为一个令人担忧的问题。21世纪基于物联网(IoT)的技术的出现导致了包括农业在内的每个行业的重塑,并为智慧农业铺平了道路,该技术用于自动化和控制传统农业的大多数方面。智慧农业,也被称为智能耕作,在农业中利用物联网及相关的支持技术,如云计算、人工智能和大数据,并通过自动化和做出智能决策来提高农业运营水平,从而提高效率并以最少的浪费实现更好的产量。因此,大多数政府正在投入更多资金并提供激励措施,以促使从传统农业转向智慧农业。尽管如此,新冠疫情成为了农业行业变革的催化剂,推动了农业任务从更多地依赖传统劳动力转向更多地依赖技术。在这方面,本研究旨在综合智慧农业的现有知识,突出其现状、主要组成部分、最新应用领域、先进农业实践、所使用的硬件和软件、成功案例、潜在挑战及其应对措施以及未来趋势,以促进该行业的发展,并为未来的研究提供参考。