13 citations · 23 across the 2 of their papers we have counts for
3 papers
Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoT
Mohammadreza Narimani, Ali Hajiahmad, Ali Moghimi +3
Controlling environmental conditions and monitoring plant status in greenhouses is critical to promptly making appropriate management decisions aimed at promoting crop production.…
Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves
Ryan Omidi, Ali Moghimi, Alireza Pourreza +2
The large data size and dimensionality of hyperspectral data demands complex processing and data analysis. Multispectral data do not suffer the same limitations, but are normally r…
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat
Ali Moghimi, Ce Yang, James A. Anderson
Crop production needs to increase in a sustainable manner to meet the growing global demand for food. To identify crop varieties with high yield potential, plant scientists and bre…