Electronic Applications in Agriculture

References

[1] FAO. (2021). Digital technologies in agriculture and rural areas: Status report. Food and Agriculture Organization of the United Nations, Rome.

[2] Garcia, L., Torres, M., & Ruiz, J. (2020). UAV-based crop monitoring systems for precision agriculture. Precision Agriculture, 21(4), 789–805. https://doi.org/10.1007/s11119-020-09712-4

[3] Khan, A., Ahmed, S., & Malik, R. (2021). Review of IoT technologies and intelligent systems in smart agriculture. Agricultural Engineering Today, 45(2), 12–25.

[4] Kumar, P., Singh, R., & Verma, A. (2021). IoT-based smart irrigation systems for precision agriculture. Sensors, 21(8), 2647. https://doi.org/10.3390/s21082647

[5] Li, X., Zhou, Y., & Wang, H. (2021). Agricultural robotics for precision farming: A review. Computers and Electronics in Agriculture, 182, 106036. https://doi.org/10.1016/j.compag.2021.106036

[6] Mahesh, K., Rao, S., & Patel, D. (2022). Image processing and spectral techniques for crop health monitoring. Agricultural Reviews, 43(3), 201–215. https://doi.org/10.18805/ag.R-2221

[7] Patel, N., Shah, P., & Mehta, K. (2022). IoT frameworks for smart farming and agricultural automation. Journal of Smart Agriculture, 2(4), 21–35.

[8] Raju, R., Singh, D., & Verma, R. (2021). Electronic applications in precision agriculture: Trends and challenges. Journal of Agricultural Technology, 17(3), 145–158.

[9] Rao, M., Raju, R., & Sharma, V. (2020). Embedded systems for agricultural automation and monitoring. International Journal of Agricultural Engineering, 13(1), 45–53.

[10] 1Reddy, P., Kumar, S., & Rao, V. (2020). Challenges in adoption of smart farming technologies in developing countries. Agricultural Science Digest, 40(2), 98–104. https://doi.org/10.18805/ag.D-5123

[11] Sharma, A., & Verma, P. (2019). Microcontroller-based monitoring and control systems for agriculture. Electronics in Agriculture, 10(2), 88–96.

[12] 1Singh, H., Patel, R., & Joshi, M. (2020). Sensor technologies and wireless networks in agriculture. Agricultural Reviews, 41(1), 1–12. https://doi.org/10.18805/ag.R-1894

[13] Zhang, C., Walters, D., & Kovacs, J. M. (2019). Applications of precision agriculture technologies in crop management. Remote Sensing, 11(2), 202. https://doi.org/10.3390/rs11020202.

@article{1713534,
      author = {Dr. Rachavelpula Ravindra Raju},
      title = {Electronic Applications in Agriculture},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {7},
      pages = {1744-1748},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1713534.pdf},
      abstract = {Electronic applications have become a driving force in modern agriculture by enabling precision, automation, and data-driven decision-making. Technologies such as sensors, embedded systems, Internet of Things (IoT), robotics, and intelligent data analytics are transforming conventional farming into smart and sustainable agricultural systems. These applications support efficient irrigation, crop monitoring, soil health assessment, pest detection, and autonomous field operations. This paper reviews major electronic applications in agriculture, discusses their methodologies and system architectures, and evaluates their performance based on reported research outcomes. The study highlights both benefits and challenges, emphasizing the need for affordable, scalable, and farmer-friendly electronic solutions for widespread adoption.},
      keywords = {Electronic agriculture, Precision farming, IoT, Sensors, Embedded systems, Smart farming},
      month = {January},
      doi = {https://doi.org/10.64388/IREV9I7-1713534}
  }