Fig 1.
The work flow of traditional crop yield improving methods.
Table 1.
Comparative analysis of existing literature.
Fig 2.
The working flow of ECP-IEM.
Fig 3.
The overview of ECP-DSI, ECP-DSII and ECP-DSIII.
Fig 4.
The ECP-IEM process from data input to feature engineering.
Fig 5.
Feature engineering having ranked feature based on rising star score.
Fig 6.
ECP-IEM based crop yield prediction.
Fig 7.
Seasonal crop yield improvement based on ECP-IEM Recommendation.
Table 2.
Dataset description.
Fig 8.
Experimental results in terms of accuracy, precision and recall.
Fig 9.
Performance through MAE, MSE and RMSE.
Fig 10.
Comparative analysis of proposed model with baseline approaches in terms of accuracy, precision and recall.
Fig 11.
Comparative analysis of proposed model with baseline approaches in terms of MAE, MSE and RMSE.