Achieving Agricultural Excellence through Precision Technology for Optimal Crop Yields

Authors

  • Mr SK. John Sydulu|Dr SK. Alimoon|Mrs B. Rajya Lakshmi|K.Raju

Keywords:

Precision Agriculture, Crop Yield Optimization Machine Learning in Agriculture Sensor-Based Monitoring, Smart Farming Real-Time Crop Analysis, Predictive Analytics, Agricultural Technology

Abstract

n today's agriculture, maximizing crop yields and efficiently managingresources are essential for achieving sustainable farming. Traditional crop monitoringmethods often fall short in addressing variations

References

Araújo, S.O.; Peres, R.S.; Barata, J.; Lidon, F.; Ramalho, J.C. Characterising the

Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities. Agronomy2021, 11, 667. [CrossRef]

Downloads

Published

2025-06-27

How to Cite

Mr SK. John Sydulu|Dr SK. Alimoon|Mrs B. Rajya Lakshmi|K.Raju. (2025). Achieving Agricultural Excellence through Precision Technology for Optimal Crop Yields . Journal of Computational Analysis and Applications (JoCAAA), 34(6), 162–174. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3068

Issue

Vol. 34 No. 6 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.