Hasan Seyyedhasani
Assistant Professor
Research Profile:
The central theme of my research seeks to improve the efficiency of various agricultural operations for humans in specialty crops production (e.g., harvesting) and for machines in row crops production (e.g., spraying). My research also aims at optimal management of input (e.g., nutrients) to improve agricultural production productivity and sustainability while sustaining the quality.
CAIA Platform(s):
- SmartFarm Innovation Network™
- Data Analytics, Decisions, and Machine Learning for Food, Agriculture, Communities, and Health Systems