INVENTORY TECHNOLOGIES: ENHANCING PROFIT FOR SMALL AND MEDIUM GROWERS THROUGH CONSIGNMENT SELLERS

Objective 1: Develop and implement systems to quantify produce waste. Install camera systems at a consignment packer to monitor both the pickout belt and the eliminator table belt, enabling metrics production related to grade, weight, and characteristics of produce. This will inform dashboard metrics estimating packout, profitability, revenue, and efficiency.Objective 2: Develop an online learning system for produce order-inventory matching. As data becomes available, the system will update inventory grade distribution to optimize order matching as more is learned about each field.Objective 3: Create models and methods for defining post-harvest initial conditions. To estimate grade, develop a sweetpotato growth model using varying degrees of a priori knowledge. Data sourcing will be from publicly available repositories. Validate models using experiments on the packing line.