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.

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Past Awardees

2020 First Place
Lizhi Wang, Iowa State University

Javad Ansarifar, Iowa State University

2020 Second Place
Shouyi Wang, University of Texas at Arlington

2020 Third Place
Craig Rolling , Benson Hill

Isaac Akogwu, Benson Hill

Christopher Cotter, Benson Hill

Yalda Zare , Benson Hill

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