Comparison of Some Deep Neural Networks for Corn and Soybean Mapping in Iowa State using Landsat imagery

M Fathi, R Shah-Hosseini, A Moghimi - Earth Observation and …, 2022 - eoge.ut.ac.ir
Corn and soybeans are crucial crops for feeding the world's population, and it is essential to
monitor and map these fields for effective agricultural planning. With recent advancements in …

Enhancing Corn Yield Prediction in Iowa: A Concatenate-Based 2D-CNN-BILSTM Model with Integration of Sentinel-1/2 and SoilGRIDs Data

M Fathi, R Shah-Hosseini, A Moghimi - Environmental Sciences …, 2023 - mdpi.com
Ensuring food security in precision agriculture demands early prediction of corn yield in the
USA at international, regional, and local levels. Accurate corn yield estimation can play a …

Advancing precision agronomy for minimizing production risk

MS Alam - 2024 - thesis.lakeheadu.ca
Farming in Northwestern Ontario faces unique challenges, including a shorter growing
season, severe weather conditions, and limited infrastructure and support services. Despite …

[PDF][PDF] Enhancing Corn Yield Prediction in Iowa: A Concatenate-Based 2D-CNN-BILSTM Model with Integration of Sentinel-1/2 and SoilGRIDs Data. 2023, 27, x

M Fathi, R Shah-Hosseini, A Moghimi - Presented at the 5th …, 2023 - sciforum.net
Ensuring food security in precision agriculture demands early prediction of corn yield in the
USA at international, regional, and local levels. Accurate corn yield estimation can play a …