Automation and digitization of agriculture using artificial intelligence and internet of things

被引:0
|
作者
Subeesh, A. [1 ]
Mehta, C. R. [1 ]
机构
[1] ICAR Cent Inst Agr Engn CIAE, Bhopal, Madhya Pradesh, India
关键词
Agriculture automation; Artificial intelligence; Deep learning; Internet of things; Smart farm machinery; WEED DETECTION; MACHINE VISION; MOISTURE ESTIMATION; FARM MECHANIZATION; FEATURE-SELECTION; RANDOM FOREST; CLASSIFICATION; SUPPORT; CHALLENGES; RECOGNITION;
D O I
10.1016/j.aiia.2021.11.004
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The growing population and effect of climate change have put a huge responsibility on the agriculture sector to increase food-grain production and productivity. In most of the countries where the expansion of cropland is merely impossible, agriculture automation has become the only option and is the need of the hour. Internet of things and Artificial intelligence have already started capitalizing across all the industries including agriculture. Advancement in these digital technologies has made revolutionary changes in agriculture by providing smart systems that can monitor, control, and visualize various farm operations in real-time and with comparable intelligence of human experts. The potential applications of IoT and AI in the development of smart farm machinery, irrigation systems, weed and pest control, fertilizer application, greenhouse cultivation, storage structures, drones for plant protection, crop health monitoring, etc. are discussed in the paper. The main objective of the paper is to provide an overview of recent research in the area of digital technology-driven agriculture and identification of the most prominent applications in the field of agriculture engineering using artificial intelligence and internet of things. The research work done in the areas during the last 10 years has been reviewed from the scientific databases including PubMed, Web of Science, and Scopus. It has been observed that the digitization of agriculture using AI and IoT has matured from their nascent conceptual stage and reached the execution phase. The technical details of artificial intelligence, IoT, and challenges related to the adoption of these digital technologies are also discussed. This will help in understanding how digital technologies can be integrated into agriculture practices and pave the way for the implementation of AI and IoT-based solutions in the farms. & COPY; 2021 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:278 / 291
页数:14
相关论文
共 50 条
  • [31] Artificial intelligence- enabled soft sensor and internet of things for sustainable agriculture using ensemble deep learning architecture
    Wongchai, Anupong
    Shukla, Surendra Kumar
    Ahmed, Mohammed Altaf
    Sakthi, Ulaganathan
    Jagdish, Mukta
    Kumar, Ravi
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 102
  • [32] User-Centered Design of Agriculture Automation Systems Using Internet of Things Paradigm
    Ferrandez-Pastor, Francisco-Javier
    Garcia-Chamizo, Juan-Manuel
    Nieto Hidalgo, Mario
    Mora-Martinez, Jose
    [J]. UBIQUITOUS COMPUTING AND AMBIENT INTELLIGENCE, UCAMI 2017, 2017, 10586 : 56 - 66
  • [33] Home Automation Using Internet of Things
    Lohan, Vibha
    Singh, Rishi Pal
    [J]. ADVANCES IN DATA AND INFORMATION SCIENCES, ICDIS 2017, VOL 2, 2019, 39 : 293 - 301
  • [34] Smart Agriculture Using Internet of Things
    Mat, Ibrahim
    Kassim, Mohamed Rawidean Mohd
    Harun, Ahmad Nizar
    Yusoff, Ismail Mat
    [J]. 2018 IEEE CONFERENCE ON OPEN SYSTEMS (ICOS), 2018, : 54 - 59
  • [35] On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey
    Orchi, Houda
    Sadik, Mohamed
    Khaldoun, Mohammed
    [J]. AGRICULTURE-BASEL, 2022, 12 (01):
  • [36] RiceTalk: Rice Blast Detection Using Internet of Things and Artificial Intelligence Technologies
    Chen, Wen-Liang
    Lin, Yi-Bing
    Ng, Fung-Ling
    Liu, Chun-You
    Lin, Yun-Wei
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (02) : 1001 - 1010
  • [37] The Automated Efficiency Enhancement of Photovoltaic cells using Artificial Intelligence and Internet of Things
    Mohankumar, P.
    Vinoth, R.
    Suresh, P.
    Ajayan, J.
    [J]. 2023 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS, ICEES, 2023, : 184 - 187
  • [38] Artificial intelligence for stress monitoring and prediction using wearable sensors in internet of things
    Huang, Liejiang
    Chen, Sichao
    Shen, Dilong
    Hu, Yuanchao
    Pan, Yuanjun
    Pan, Ligang
    [J]. INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 2023, 42 (01) : 34 - 51
  • [39] Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
    Kok, Ibrahim
    Okay, Feyza Yildirim
    Muyanli, Ozgecan
    Ozdemir, Suat
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (16) : 14764 - 14779
  • [40] Explainable Artificial Intelligence in Internet-of-Medical Things
    Djenouri, Youcef
    Hasan, Mohammad Kamrul
    Jhaveri, Rutvij H.
    [J]. Recent Advances in Computer Science and Communications, 2024, 17 (04)