In the realm of global agriculture, the imperative of sustaining an ever-expanding population is met with challenges in optimizing crop production and judicious resource management. SmartzAgri heralds a groundbreaking approach to modern agriculture. This innovative system represents a convergence of machine learning algorithms and Internet of Things (IoT) technology, aimed at reshaping traditional paradigms of crop recommendation.

DOI Link: 
10.21227/12nr-fe03
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[1] VISHAL KUMAR PATEL, "Crop Recommendation dataset", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/12nr-fe03. Accessed: Oct. 05, 2024.
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doi = {10.21227/12nr-fe03},
url = {http://dx.doi.org/10.21227/12nr-fe03},
author = {VISHAL KUMAR PATEL },
publisher = {IEEE Dataport},
title = {Crop Recommendation dataset},
year = {2024} }
TY - DATA
T1 - Crop Recommendation dataset
AU - VISHAL KUMAR PATEL
PY - 2024
PB - IEEE Dataport
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VISHAL KUMAR PATEL. (2024). Crop Recommendation dataset. IEEE Dataport. http://dx.doi.org/10.21227/12nr-fe03
VISHAL KUMAR PATEL, 2024. Crop Recommendation dataset. Available at: http://dx.doi.org/10.21227/12nr-fe03.
VISHAL KUMAR PATEL. (2024). "Crop Recommendation dataset." Web.
1. VISHAL KUMAR PATEL. Crop Recommendation dataset [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/12nr-fe03
VISHAL KUMAR PATEL. "Crop Recommendation dataset." doi: 10.21227/12nr-fe03