Advancements in Agricultural Automation: A Comprehensive Review of Artificial Intelligence and Humanoid Robotics in Farming

被引:0
|
作者
Doss, Arockia Selvakumar Arockia [1 ]
Jeyabalan, Abarna [2 ]
Borah, Priti Rekha
Lingampally, Pavan Kalyan [3 ]
Schilberg, Ing. Daniel [4 ]
机构
[1] Vellore Inst Technol, Sch Mech Engn, Design & Automation Res Grp, Chennai, Tamil Nadu, India
[2] Vellore Inst Technol, Sch Elect Engn, Chennai, Tamil Nadu, India
[3] Vellore Inst Technol, Sch Mech Engn, Chennai, Tamil Nadu, India
[4] Bochum Univ Appl Sci, Dept Mechatron & Mech Engn, Bochum, Germany
关键词
Unmanned robotic system; agricultural robotics; smart farming; artificial intelligence; image processing; UNMANNED AERIAL VEHICLE; WEED MANAGEMENT; NEURAL-NETWORK; EXPERT-SYSTEM; THINGS; INTERNET; DESIGN; PREDICTION; SPRAYER;
D O I
10.1142/S0219843623500123
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper discusses about the modern techniques implemented in the field of agriculture which shaped the traditional farming to the smart farming (Agriculture 4.0). The rapid rise in the global population is one among the main reasons, besides monitoring of crops health and yield requires a huge labor force, which is also another reason for promoting intelligent systems into agriculture sector. Conventional farming methods are not suitable to meet this demand, which led robotics to associate with on-field agriculture by means of robot-based technologies like wheeled robots, ground vehicles (manned and unmanned) and aerial vehicles (manned and unmanned) that led to explore the possible advancement in agriculture 3.0. Currently, the evolutionary techniques, such as Artificial Intelligence (AI) and IoT, are implemented in robotic vehicles to make them intelligent systems. Due to unprecedented climatic change and polluted ground water for the past few decades, the crops are being infested with new varieties of diseases. This requires new image processing techniques to classify the diseases based on color, texture and, shape of leaves. The incorporation of image processing technique into AI aids in deciding the appropriate amount of herbicide supplement to the plant based on the prediction of plant growth.
引用
收藏
页数:43
相关论文
共 50 条
  • [1] A Comprehensive Review of Applications of Robotics and Artificial Intelligence in Agricultural Operations
    Amin, Ahmed
    Wang, Xiaochan
    Zhang, Yongnian
    Li Tianhua
    Chen, Yanyu
    Zheng, Jinming
    Shi, Yinyan
    Abdelhamid, Mahmoud A.
    STUDIES IN INFORMATICS AND CONTROL, 2023, 32 (04): : 59 - 70
  • [2] Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation
    Prakash, Chander
    Singh, Lakhwinder Pal
    Gupta, Ajay
    Lohan, Shiv Kumar
    SENSORS AND ACTUATORS A-PHYSICAL, 2023, 362
  • [3] Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review
    Weichert, Jan
    Scharf, Jann Lennard
    JOURNAL OF CLINICAL MEDICINE, 2024, 13 (18)
  • [4] AUTOMATION, ROBOTICS AND ARTIFICIAL-INTELLIGENCE
    MERIAN, E
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 1992, 11 (06) : R11 - R13
  • [5] A comprehensive review on automation in agriculture using artificial intelligence
    Jha, Kirtan
    Doshi, Aalap
    Patel, Poojan
    Shah, Manan
    ARTIFICIAL INTELLIGENCE IN AGRICULTURE, 2019, 2 : 1 - 12
  • [6] Advancements in microsurgery: A comprehensive systematic review of artificial intelligence applications
    Savage, Simon A.
    Seth, Ishith
    Angus, Zachary G.
    Rozen, Warren M.
    JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY, 2025, 101 : 65 - 76
  • [7] Advancements and Applications of Artificial Intelligence in Pharmaceutical Sciences: A Comprehensive Review
    Mottaghi-Dastjerdi, Negar
    Soltany-Rezaee-Rad, Mohammad
    IRANIAN JOURNAL OF PHARMACEUTICAL RESEARCH, 2024, 23 (01):
  • [8] Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review
    Tolu-Akinnawo, Oluwaremilekun Zeth
    Ezekwueme, Francis
    Omolayo, Olukunle
    Batheja, Sasha
    Awoyemi, Toluwalase
    CLINICAL CARDIOLOGY, 2025, 48 (01)
  • [9] Advancements and challenges in the application of artificial intelligence in civil engineering: a comprehensive review
    Harle S.M.
    Asian Journal of Civil Engineering, 2024, 25 (1) : 1061 - 1078
  • [10] Advancements in biliopancreatic endoscopy - A comprehensive review of artificial intelligence in EUS and ERCP
    Castillo, Belen Agudo
    Mascarenhas, Miguel
    Martins, Miguel
    Mendes, Francisco
    de la Iglesia, Daniel
    da Costa, Antonio Miguel Martins Pinto
    Fernandez-Zarza, Carlos Esteban
    Ruiz, Mariano Gonzalez-Haba
    REVISTA ESPANOLA DE ENFERMEDADES DIGESTIVAS, 2024, 116 (11) : 613 - 622