Advances in IoT and Smart Sensors for Remote Sensing and Agriculture Applications

被引:50
|
作者
Ullo, Silvia Liberata [1 ]
Sinha, G. R. [2 ]
机构
[1] Univ Sannio, Engn Dept, I-82100 Benevento, Italy
[2] Myanmar Inst Informat Technol MIIT, Dept Elect & Commun Engn, Mandalay 05053, Myanmar
关键词
sensors; smart sensors; AI; IoT; remote sensing; agriculture applications; SOIL-MOISTURE; THINGS IOT; SYSTEM; NETWORKS; MANAGEMENT; INTERNET;
D O I
10.3390/rs13132585
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Modern sensors find their wide usage in a variety of applications such as robotics, navigation, automation, remote sensing, underwater imaging, etc. and in recent years the sensors with advanced techniques such as the artificial intelligence (AI) play a significant role in the field of remote sensing and smart agriculture. The AI enabled sensors work as smart sensors and additionally the advent of the Internet of Things (IoT) has resulted into very useful tools in the field of agriculture by making available different types of sensor-based equipment and devices. In this paper, we have focused on an extensive study of the advances in smart sensors and IoT, employed in remote sensing and agriculture applications such as the assessment of weather conditions and soil quality; the crop monitoring; the use of robots for harvesting and weeding; the employment of drones. The emphasis has been given to specific types of sensors and sensor technologies by presenting an extensive study, review, comparison and recommendation for advancements in IoT that would help researchers, agriculturists, remote sensing scientists and policy makers in their research and implementations.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] IoT Solution for Data Sensing in a Smart Campus using Smartphone Sensors
    Alonso, Jaime
    Bayona, Carlos
    Rojas, Omar
    Teran, Marco
    Aranda, Juan
    Carrillo, Henry
    Parra, Carlos
    2018 IEEE COLOMBIAN CONFERENCE ON COMMUNICATIONS AND COMPUTING (COLCOM), 2018,
  • [32] Recent Advances in Applications of Remote Image Capture Systems in Agriculture
    Molina-Martinez, Jose Miguel
    Garcia-Mateos, Gines
    APPLIED SCIENCES-BASEL, 2020, 10 (21):
  • [33] Airborne remote sensing in forestry: Sensors, analysis and applications
    King, DJ
    FORESTRY CHRONICLE, 2000, 76 (06): : 859 - 876
  • [34] IEEE ComSoc Karachi Chapter, Pakistan: IoT Applications in Smart Agriculture
    Korai, Umair Ahmed
    Shaikh, Faisal Karim
    IEEE COMMUNICATIONS MAGAZINE, 2023, 61 (07) : 2 - 3
  • [35] A systematic review of IoT technologies and their constituents for smart and sustainable agriculture applications
    Pathmudi, Vivek Ramakant
    Khatri, Narendra
    Kumar, Sandeep
    Abdul-Qawy, Antar Shaddad Hamed
    Vyas, Ajay Kumar
    SCIENTIFIC AFRICAN, 2023, 19
  • [36] Adaptive Power System for IoT-Based Smart Agriculture Applications
    Abou Emira, Shahenaz S.
    Youssef, Khaled Y.
    Abouelatta, Mohamed
    2019 15TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO 2019), 2019, : 126 - 131
  • [37] Plant functional remote sensing and smart farming applications
    Omasa, Kenji
    Ono, Eiichi
    Ishigami, Yasuhiro
    Shimizu, Yo
    Araki, Yoichi
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2022, 15 (04) : 1 - 6
  • [38] SMART DATA ANALYTICS METHODS FOR REMOTE SENSING APPLICATIONS
    Cavallaro, Gabriele
    Riedel, Morris
    Benediktsson, Jon Atli
    Goetz, Markus
    Runarsson, Tomas
    Jonasson, Kristjan
    Lippert, Thomas
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 1405 - 1408
  • [39] Advances in real time smart monitoring of environmental parameters using IoT and sensors
    Narayana, T. Lakshmi
    Venkatesh, C.
    Kiran, Ajmeera
    Babu, J. Chinna
    Kumar, Adarsh
    Khan, Surbhi Bhatia
    Almusharraf, Ahlam
    Quasim, Mohammad Tabrez
    HELIYON, 2024, 10 (07)
  • [40] Remote sensing applications for precision agriculture: A learning community approach
    Seelan, SK
    Laguette, S
    Casady, GM
    Seielstad, GA
    REMOTE SENSING OF ENVIRONMENT, 2003, 88 (1-2) : 157 - 169