Crop Challenge in Analytics Award

Sponsored by Syngenta and the Analytics Society of INFORMS

Winning material: Optimal Schedules for Corn Planting and Storage

Purpose of the Award

(INACTIVE AWARD) As our world population increases and arable land decreases, it becomes vital to improve the productivity of the agricultural land available. Companies like Syngenta strive to provide varieties of their crops to meet this need. 
Every year farmers have to make decisions about which soybean seeds to plant given information about different soybean varieties and knowledge about the soil and climate at their respective farms. These annual decisions are critical - after a variety is planted, the decision is irreversible. Unusual weather patterns can have disastrous impacts on crops.

For more information please click on the following link.  

https://www.ideaconnection.com/syngenta-crop-challenge/


Past Awardees

2020
First Place
Javad Ansarifar, Iowa State University

Lizhi Wang, Iowa State University

Second Place
Shouyi Wang, University of Texas at Arlington



Third Place
Christopher Cotter, Benson Hill



Craig Rolling , Benson Hill



Isaac Akogwu, Benson Hill



Yalda Zare , Benson Hill



2018
First Place
Second Place
Jhonathan Pedroso Rigal dos Santos, Universidade Federal de Lavras
Third Place
Hans Mueller, Iowa State University
Lizhi Wang, Iowa State University
Saeed Khaki, Iowa State University