Grain Harvest Logistics Tracking Tools
Abstract
Farmers run complex operations to fully plant, manage, grow, and harvest crops through the seasons. Careful consideration must be taken when making decisions about machinery usage and the available labor on hand. To help alleviate the tough decision-making process, tools have been created to inform farmers about their machinery and field status. These tools provide useful feedback and large value to farmers looking to plant and harvest. GPS localization and machine state identification provides useful information back to the manager. The tool that was created successfully utilizes GPS data taken from loggers on tractors, combines, and grain trucks to successfully identify the states of all the machines in the field, including, idle, active, on the go, and stationary unload. Initial results of the algorithm provide a 96% success rate in determining the state of the combine during harvest. Additionally, the algorithm was accurate at determining the state of grain carts and grain trucks at the boundaries of the field 94% of the time.
Degree
M.Sc.
Advisors
Evans, Purdue University.
Subject Area
Aerospace engineering|Artificial intelligence|Electrical engineering|Information Technology|Web Studies
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