An Analysis of Different Smart Agricultural System Using IoT

Authors

  • N Monisha Sreenivasa Institute of Technology and Management Studies (SITAMS), Jawaharlal Nehru Technological University (JNTU) Anantapur, Chittoor, Andra Pradesh, India
  • V Reddi Maraiah Sreenivasa Institute of Technology and Management Studies (SITAMS), Jawaharlal Nehru Technological University (JNTU) Anantapur, Chittoor, Andra Pradesh, India
  • J Sheik Mohammad Sreenivasa Institute of Technology and Management Studies (SITAMS), Jawaharlal Nehru Technological University (JNTU) Anantapur, Chittoor, Andra Pradesh, India
  • K Balasubramanyam Raju Sreenivasa Institute of Technology and Management Studies (SITAMS), Jawaharlal Nehru Technological University (JNTU) Anantapur, Chittoor, Andra Pradesh, India

DOI:

https://doi.org/10.5281/zenodo.8026897

Keywords:

Traditional methods, automation, monitoring, wireless sensor, intelligent processors

Abstract

From centuries the main occupation of human is Agriculture as it has been emerging as the most important practice. There is a lot of traditional methods that are being used in the farming process and cultivation. The methods result in lot of wastage of water and due to excess moisture in the soil may harm the crop. For conservation of the natural resources like water and the nutrients of the soil, IoT is an emerging area to assist agriculture using sensors and automation of farms. Around 85% of total available water resource across the globe are used for irrigation purpose. IoT is the best solution for agriculture to conserve the resources for the future generation. This paper presents the smart system of organizing and monitoring the weather forecast data, temperature, humidity, rain and sensing the ground parameters like water level and soil moisture via Internet. The main objective is to monitor and control the irrigation systems through a smartphone. A wireless sensor based networking and intelligent processors of IoT helps to achieve optimum utilization

References

Abhiram, M. S. D., Kuppili, J., & Manga, N. A. (2020, February). Smart farming system using IoT for efficient crop growth. In 2020 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (pp. 1-4). IEEE.

Farooq, M. S., Sohail, O. O., Abid, A., & Rasheed, S. (2022). A survey on the role of iot in agriculture for the implementation of smart livestock environment. IEEE Access, 10, 9483-9505.

Leh, N. A. M., Kamaldin, M. S. A. M., Muhammad, Z., & Kamarzaman, N. A. (2019, October). Smart irrigation system using internet of things. In 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET) (pp. 96-101). IEEE.

Obaideen, K., Yousef, B. A., AlMallahi, M. N., Tan, Y. C., Mahmoud, M., Jaber, H., & Ramadan, M. (2022). An overview of smart irrigation systems using IoT. Energy Nexus, 100124.

Wiangtong, T., & Sirisuk, P. (2018, September). IoT-based versatile platform for precision farming. In 2018 18th International Symposium on Communications and Information Technologies (ISCIT) (pp. 438-441). IEEE.

Ramakrishnam Raju, S. V. S., Dappuri, B., Ravi Kiran Varma, P., Yachamaneni, M., Verghese, D. M. G., & Mishra, M. K. (2022). Design and Implementation of Smart Hydroponics Farming Using IoT-Based AI Controller with Mobile Application System. Journal of Nanomaterials, 2022, 1-12.

Méndez-Guzmán, H. A., Padilla-Medina, J. A., Martínez-Nolasco, C., Martinez-Nolasco, J. J., Barranco-Gutiérrez, A. I., Contreras-Medina, L. M., & Leon-Rodriguez, M. (2022). IoT-Based Monitoring System Applied to Aeroponics Greenhouse. Sensors, 22(15), 5646.

Basha, S. M., Poluru, R. K., & Ahmed, S. T. (2022, April). A Comprehensive Study on Learning Strategies of Optimization Algorithms and its Applications. In 2022 8th International Conference on Smart Structures and Systems (ICSSS) (pp. 1-4). IEEE.

Ramaiah, N. S., & Ahmed, S. T. (2022). An IoT-Based Treatment Optimization and Priority Assignment Using Machine Learning. ECS Transactions, 107(1), 1487.

LK, S. S., Rana, M., Ahmed, S. T., & Anitha, K. (2021, November). Real-Time IoT Based Temperature and NPK Monitoring System Sugarcane-Crop Yield for Increasing. In 2021 Innovations in Power and Advanced Computing Technologies (i-PACT) (pp. 1-5). IEEE.

Downloads

Published

2023-06-12

How to Cite

N Monisha, V Reddi Maraiah, J Sheik Mohammad, & K Balasubramanyam Raju. (2023). An Analysis of Different Smart Agricultural System Using IoT. International Journal of Human Computations & Intelligence, 2(4), 169–175. https://doi.org/10.5281/zenodo.8026897