Login Register Cart 0
Generic placeholder image

Recent Patents on Engineering

Editor-in-Chief

ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

Analysis of IoT Applications in Highly Precise Agriculture Farming

Author(s): Latha Reddy N. and Gopinath Masila P.*

Volume 19, Issue 2, 2025

Published on: 06 October, 2023

Article ID: e180923221207 Pages: 11

DOI: 10.2174/1872212118666230918124939

Price: $65

Open Access Journals Promotions 2
conference banner
Abstract

Background: The IoT (Internet of Things) assigns to the capacity of Device-to-Machine (D2M) connections, which is a vital component in the development of the digital economy. IoT integration with a human being enables real-time decision-making in communication, collaboration, and technology analytics. Furthermore, environmental factors impacting plants, such as air humidity, temperature, air quality index, and soil wetness, are not frequently documented, emphasizing the development of a data monitoring system for future agricultural research and development.

Methods: An IoT-based Intelligent Farming System is proposed. An innovative IoT-based intelligent farming system is developed that integrates real-time data monitoring, machine learning algorithms, and IoT technology to address the identified gaps and challenges.

Result: In the face of climate change, extreme weather, and environmental constraints, increased food demand must be satisfied. Intelligent agriculture enabled by IoT technology can reduce waste and increase productivity for producers and farmers, from fertilizer use to tractor trips.

Conclusion: In conclusion, this patent paper provides insightful and informative commentary on the progress made in technology within the agriculture industry and the challenges that still need to be overcome to achieve optimal outcomes.

Keywords: IoT, agriculture, soil quality, weather conditions, machine learning, environmental constraints.

Graphical Abstract

[1]
K. Geeta, "A research on prediction of crop yield and its forecasting methods", Int. J. Modern Agri., vol. 10, no. 1, 2021.
[2]
N. Sulaiman, and M. Sadli, "An IoT-based smart garden with weather station system", In 9th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Malaysia, 27-28 April, 2019, pp. 38-43
[http://dx.doi.org/10.1109/ISCAIE.2019.8743837]
[3]
U. Shafi, R. Mumtaz, J. García-Nieto, S.A. Hassan, S.A.R. Zaidi, and N. Iqbal, "Precision agriculture techniques and practices: From considerations to applications", Sensors, vol. 19, no. 17, p. 3796, 2019.
[http://dx.doi.org/10.3390/s19173796] [PMID: 31480709]
[4]
M. Di Napoli, P. Marsiglia, D. Di Martire, M. Ramondini, S.L. Ullo, and D. Calcaterra, "Landslide susceptibility assessment of wildfire burnt areas through Earth-observation techniques and a machine learning-based approach", Remote Sens., vol. 12, no. 15, p. 2505, 2020.
[http://dx.doi.org/10.3390/rs12152505]
[5]
C. Ying, J. Meishan, Z. Yannan, and D. Changhong, "Application of laser remote sensing technology and super continuous spectrum laser", E3S Web Conf., vol. 165, no. 4, p. 03002, 2020.
[6]
M. Bacco, P. Barsocchi, E. Ferro, A. Gotta, and M. Ruggeri, "The digitisation of agriculture: A survey of research activities on smart farming", In: Array., vol. 3-4. Elsevier, 2019, p. 100009.
[http://dx.doi.org/10.1016/j.array.2019.100009]
[7]
X. VerlapanelJinyuan, G. Baoxing, and T. Guangzhao, "Review of agricultural IoT technology", Artificial Intell. Agri., vol. 6, pp. 10-12, 2022.
[8]
T. Syrový, R. Vik, S. Pretl, L. Syrová, J. Čengery, A. Hamáček, L. Kubáč, and L. Menšík, "Fully printed disposable IoT soil moisture sensors for precision agriculture", Chemosensors, vol. 8, no. 4, p. 125, 2020.
[http://dx.doi.org/10.3390/chemosensors8040125]
[9]
J. Doshi, T. Patel, and S. Bharti, "Smart Farming using IoT, a solution for optimally monitoring farming conditions", Procedia Comput. Sci., vol. 160, pp. 746-751, 2019.
[http://dx.doi.org/10.1016/j.procs.2019.11.016]
[10]
B. Lu, P. Dao, J. Liu, Y. He, and J. Shang, "Recent advances of hyperspectral imaging technology and applications in agriculture", Remote Sens., vol. 12, no. 16, p. 2659, 2020.
[http://dx.doi.org/10.3390/rs12162659]
[11]
A. Bouraiou, A. Neçaibia, R. Dabou, and A. Ziane, "A temperature supervision web application based on wireless Wi-Fi ESP8266 microcontroller and LM 35 sensor", In International Conference on Artificial Intelligence in Renewable Energetic Systems Switzerland, 2021
[12]
D. Thakura, and Y. Kumar, "Smart irrigation and intrusions detection in agricultural fields using I.o.T", In: Procedia Computer Science., vol. 167. Elsevier, 2020, pp. 154-162.
[13]
A. Rehman, T. Saba, M. Kashif, S.M. Fati, S.A. Bahaj, and H. Chaudhry, "A revisit of internet of things technologies for monitoring and control strategies in smart agriculture", Agronomy, vol. 12, no. 1, p. 127, 2022.
[http://dx.doi.org/10.3390/agronomy12010127]
[14]
A.K. Mariappan, and J. Austin Ben Das, "A paradigm for rice yield prediction in Tamilnadu", In IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR). ChennaiIndia, 07-08 April, 2017
[15]
J. Haule, and K. Michael, "Organization of remote sensor systems (W.S.N.) in robotized water system administration and planning frameworks: An audit. In: Pan African Conference on Science, computing, and Telecommunications (PACT)", Available from:https://www.icict.org.zm/
[16]
W.S. Kim, W.S. Lee, and Y.J. Kim, "A review of the applications of the internet of things (IoT) for agricultural automation", J. Biosyst. Eng., vol. 45, no. 4, pp. 385-400, 2020.
[http://dx.doi.org/10.1007/s42853-020-00078-3]
[17]
DS Suresh, and KV Jyothi Prakash, "Robotized soil testing device", ITS Trans. Electr. Elec. Eng. (ITSI-TEEE), vol. 1, no. 5, pp. 2320-8945, 2013.
[18]
M. Jagadesh, S. Rajamanickam, S.P. Saran, S. Shiridi Sai, and M. Suresh, "Wireless sensor network based agricultural monitoring system", Int. J. Creat. Res. Thoughts, vol. 6, 2018.
[19]
P.K. Singh, and A. Sharma, "An intelligent WSN-UAV-based IoT framework for precision agriculture application", Comput. Electr. Eng., vol. 100, no. May, p. 107912, 2022.
[http://dx.doi.org/10.1016/j.compeleceng.2022.107912]
[20]
G Parameswaran, and K Sivaprasath, "Arduino-based smart drip irrigation system utilizing Internet of things", IJESC, vol. 6, no. 10, 2016.
[21]
F.N. Abbas, and Z.K. Abdalrdha, "Capable of gas sensor MQ-135 to monitor the air quality with arduino uno", Int. J. Eng. Res. Technol., vol. 13, no. 10, pp. 2955-2959, 2020.
[22]
R. Shamshiri, F. Kalantari, and K. Ting, "Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture", Int. J. Agric. Biol. Eng., vol. 11, no. 1, pp. 1-22, 2018.
[http://dx.doi.org/10.25165/j.ijabe.20181101.3210]
[23]
R.A. Rahman, "IoT- based temperature and humidity monitoring framework", Bull. Electr. Eng. Inform., vol. 9, no. 1, pp. 229-237, 2020.
[24]
S. Anneketh Vij, "IoT and machine learning approaches for automation of farm irrigation system", In: Procedia Computer Science., vol. 167. Elsevier, 2013, pp. 1250-1257.
[25]
J Mannar Mannan, S Kanimozhi Suguna, M Dhivya, and T. Parameswaran, "Smart scheduling on the cloud for IoT-based sprinkler irrigation", Int. J. Pervasive Comput. Commun., 2020.
[http://dx.doi.org/10.1108/IJPCC-03-2020-0013]
[26]
S. Ananda Kumar, and I. Paramasivam, The impact of wireless sensor network in the field of precision agriculture: A Review, Wireless Pers. Commun., vol. 98, pp. 685-698, 2020.
[27]
J. Ehsan, T. Masoud, Z.H. Sedigheh Alsadat Ghazi, and B. Luca, "Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region", In: Remote Sensing of Environment., vol. 231. Elsevier, 2019, p. 111226.
[28]
N.G. Rezk, and A.F. El-Din Hemdan, "An efficient IoT based smart farming system using machine learning algorithms", Multimed. Tools Appl., vol. 80, pp. 773-797, 2020.
[29]
K. Lova Raju, and V. Vijayaraghavan, "IoT technologies in agricultural environment: A survey", Wireless Pers. Commun., vol. 113, pp. 2415-2446, 2020.
[30]
HashimAliHasab, H. Dibs, and A.S. Dawood, "HMonitoring and assessment of salinity and chemicals in agricultural landsbya remotesensing technique andsoilmoisturewith chemical index models", Geosciences, vol. 10, p. 207, 2020.
[http://dx.doi.org/10.3390/geosciences10060207]
[31]
D.L. CORWIN, "Climate change impacts on soil salinity in agricultural areas", Eur. J. Soil Sci., vol. 72, no. 2, pp. 842-862, 2020.
[32]
D.N. Varshitha, "An AI solution for soil fertility and crop friendliness detection and monitoring", Int. J. Eng. Adv. Technol., vol. 10, no. 3, 2020.
[http://dx.doi.org/10.47750/pnr.2022.13.S01.57,2022]
[33]
M. Yemeserach, B. Lamar, S. Arif, and B. Shekhar, "IoT sensor network approach for smart farming: An application in food, energy and water system", In IEEE Global Humanitarian Technology Conference (GHTC), San Jose, CA, 18-21 Oct, 2018.
[http://dx.doi.org/10.47750/pnr.2022.13.S01.57,2022]
[34]
M. Sunil Kumar, D. Ganesh, and A.V. Turukmane, "Deep convolution neural network based solution for detecting plant diseases", J. Pharmaceut. Negative Results., pp. 464-471, 2020.
[http://dx.doi.org/10.47750/pnr.2022.13.S01.57,2022]
[35]
A. Mateen, Q. Zhu, and S. Afsar, "IoT-based real-time agriculture farming", Int. J. Adv. Smart Converg., vol. 8, no. 4, pp. 16-25, 2019.
[http://dx.doi.org/10.7236/IJASC.2019.8.4.16]
[36]
C. Gobinath, and M. P. Gopinath, "Attention aware fully convolutional deep learning model for retinal blood vessel segmentation", J. Intell. Fuzzy Sys., vol. 40, no. 4, pp. 6413-6423, 2023.
[http://dx.doi.org/10.3233/JIFS-224229]
[37]
S-H. Wang, and Y-D. Zhang, "Advances and challenges of deep learning", Recent Pat. Eng., vol. 17, no. 4, 2023.
[38]
L. Qiang, and L. Xintian, "A soil mechanical model for deformable grounds under the dynamic action of high-mobility tracked vehicle", Recent Patents Eng., vol. 17, no. 2, 2023.
[39]
A. Ahmad, D. Saraswat, and A. El Gamal, "A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools", Smart Agricul. Technol., vol. 3, no. February, p. 100083, 2023.
[http://dx.doi.org/10.1016/j.atech.2022.100083]
[40]
Akhtar, Sabrina. "Integrated IoT (Internet of Things) system solution for smart agriculture management." U.S. Patent No. 10,728,336. 28 Jul. 2020.

Rights & Permissions Print Cite
Article Metrics
4
1
Wayfinder Image
Open Access Journals Promotions
© 2024 Bentham Science Publishers | Privacy Policy