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Full-Text Articles in Agriculture

The Economics Of On-Farm Rice Drying In Arkansas, Clayton J. Parker, Lanier Nalley Jan 2020

The Economics Of On-Farm Rice Drying In Arkansas, Clayton J. Parker, Lanier Nalley

Discovery, The Student Journal of Dale Bumpers College of Agricultural, Food and Life Sciences

Globally, rice producers are faced with the temporal problem of deciding the optimal time to harvest rice. When harvested, paddy rice is typically at a harvest moisture content (HMC) between 15% and 22% and subsequently dried by the mill to a moisture content (MC) of 12.5%. Riceland Foods Inc., the largest miller of rice in the world, uses a stair-step pricing model to charge farmers to dry, which can complicate the timing of harvest as producers try to balance the tradeoff of minimizing drying costs by waiting to harvest at lower HMC vs. maintaining higher rice quality typically observed when …


Identifying Arkansas Food Desert Blocks Suitable For A Peer-To-Peer Modeled Food Redistribution Program, Emily A. King, Jennie S. Popp, Michael R. Thomsen, Di Fang, Alvaro Durand-Morat Jan 2019

Identifying Arkansas Food Desert Blocks Suitable For A Peer-To-Peer Modeled Food Redistribution Program, Emily A. King, Jennie S. Popp, Michael R. Thomsen, Di Fang, Alvaro Durand-Morat

Discovery, The Student Journal of Dale Bumpers College of Agricultural, Food and Life Sciences

Abstract

Nearly 10% of Americans reside in low-income urban food deserts which are low-income areas that lack access to affordable and nutritious foods. Food deserts in Arkansas contribute to a food insecurity rate above the national average, making it one of the most food insecure states in the country. Increased internet usage and consumer interest in sharing based companies contribute to the idea of a sharing, or peer-to-peer (P2P) style food redistribution program. The objective of this study is to identify which of the 186,211census blocks in the state of Arkansas are food deserts and best suited for and in …


Using Precision Agriculture Field Data To Evaluate Combine Harvesting Efficiency, Justin H. Carroll, Don Johnson, Jeff Miller, Kristofor Brye Jan 2016

Using Precision Agriculture Field Data To Evaluate Combine Harvesting Efficiency, Justin H. Carroll, Don Johnson, Jeff Miller, Kristofor Brye

Discovery, The Student Journal of Dale Bumpers College of Agricultural, Food and Life Sciences

Soybeans must be harvested during a limited time period using expensive combines and associated equipment. Maximizing combine field efficiency, the ratio of the actual harvesting capacity to theoretical harvesting capacity, is an important objective of machinery managers. Spatial and temporal yield data from a 2012 CaseIH 8120 Axial-Flow combine equipped with a 9 meter MacDon D-65 Draper header and the Case-IH Advanced Farming System (AFS) yield monitoring system were used to examine field efficiency when harvesting soybean in three Arkansas Delta irrigated soybean fields during the 2015 season. Time efficiencies (TE) in the three fields ranged from 72.9% to 85.8% …