Multi-Profundity soil water content prognosis for Maize
- Author Abhinayaa K S
- Co-Author Bavani B, Dr. Indumathi J
- DOI 10.17605/O
- Country : India
- Subject : Information Science & Technology
Keywords : soil water content, BiLSTM, ResNet, multi-depth and ResBiLSTM
Abstract
The soil water content prediction in agricultural land improved more irrigation plans and the moisture content of the soil at multiple depths elevated more extensively with numerous irrigation methods and techniques. The accuracy of foreseeing Soil Water Content at multiple depths can be amended using the BiLSTM and the ResNet model. The ResBiLSTM model together might stretch improved prediction accuracy with the meteorological and time series data of growth stages of maize. The prediction model for soil moisture at different depths embraces 5_cm, 10_cm, 20_cm, 50_cm and 100_cm respectively. The MSE, MAE, RMSE, R2 are premeditated for predicting the finest fit accuracy at different growth stages. The values are predicted from the actual value calculated and the accuracy is found for the predicted values. The average value is calculated for the corresponding values. These average values are then compared with the other machine learning and deep learning models. Also, to attain ResBiLSTM model provides better accuracy and prediction than the usual deep learning models.
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