Conference
Jul 2026
Robust Crop Yield Prediction via Convolutional Neural Networks: Benchmarking Against Classical Machine Learning Models
In the face of climate variability and population growth, prediction of the yield is a crucial requirement for food security and sustainable agriculture. A novel deep learning model based on one-dimensional Convolutional Neural Network (1D-CNN) architecture was proposed in this paper to predict crop yields by all agroc...
M. S, Srija S, Subasri V et al.
· 2026 4th International Confe... · 0 citations