Potato Crop Yield Prediction Using Environmental and Soil Parameters
Keywords:
Machine Learning, Deep Learning, Potato Crop Growth, Atmospheric Parameters, Predictive ModellingAbstract
Modern agricultural systems heavily depend on precise crop yield prediction to optimize farm management,boost productivity, and safeguard food security. Given the increasing unpredictability of climatic patternsand fluctuating soil conditions, traditional farming methods rooted in farmer intuition are no longeradequate for effective decision-making. Consequently, data-driven predictive modeling has emerged as a promising methodology
References
Shan, Y., Li, G., Su, L., Zhang, J., Wang, Q., Wu, J., Mu, W., & Sun, Y. (2022). Performance of AquaCrop model for maize growth
simulation under different soil conditioners in Shandong Coastal Area, China. Agronomy, 12(7), 1541.


