Table 15 Comparative analysis of deep learning methods with existing literature.
From: Predicting wheat yield using deep learning and multi-source environmental data
Existing study | Factors included | Accuracy (%) |
|---|---|---|
Proposed framework | Soil, water, nitrogen, NDVI, weather, yield | 98 |
Genotype, environment (soil and weather) | 91 | |
Field initial data and management data | 93 | |
Climate factors, genotypes | 90 | |
Genotypes | 80 | |
Weather conditions, remote sensing (RS) data | 94 | |
Crop management factors | 87 |
