ABSTRACT CONVENTIONAL peanut harvesting consists of a series of operations: digging, windrow drying, com-bining and artificial drying and curing. When to dig and combine are important questions to peanut producers. Any answer requires consideration of maximum yield and maturity; minimum quantity and quality losses dur-ing digging, windrow exposure and combining; mini-mum energy usage for subsequent artificial drying and curing; and optimum scheduling or management of the total harvesting operation. Effective analysis requires knowledge of weather parameters and their influence on each of these factors. Vedak and Young (1976) suggested certain procedures for computer simulation of the total harvesting opera-tion. Young (1977) described a procedure relating peanut drying in inverted windrows to ambient weather data. The objective of the study reported herein was to develop a model for simulation of peanut drying in inverted, random and downward windrow orientations; to determine model coefficients and their variation with orientation, digging date, year and weather data source; to compare the model's ability to represent the observed drying curves; and to verify the model with independent observations.
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