TL;DR: In this article, the authors explore the factors that influence the commitment of members to their cooperative organization and describe the cooperative members' decisions regarding patronage in terms of a random utility model, showing that farmers' patronage is positively associated with competitive grain pricing and negatively associated with the firm being active in the community.
Abstract: This research explores the factors that influence the commitment of members to their cooperative organization. Previous empirical and theoretical research is reviewed. The cooperative members' decisions regarding patronage are then described in terms of a random utility model. Logit analysis, with data from member surveys of a large grain marketing cooperative. indicates that the factors that influence member patronage are: the ability to share in profits through dividends. The ability to purchase chemicals and fertilizers at the grain elevator, and the percentage of the total farm income obtained from grain operations. There is some evidence that farmers' patronage is positively associated with competitive grain pricing and negatively associated with the firm being active in the community. Additional analysis reveals that the age of the farmer significantly affects the importance the member places on the ability to share in profits through dividends.
TL;DR: The grain handlers had a lower frequency of both positive skin reactions to pollens and molds and a family history of asthma, which suggests that they may have been self-selected for a decreased tendency to develop allergic respiratory disease.
Abstract: We compared respiratory variables in 441 grain elevator workers and 180 civic outside laborers in Thunder Bay The grain handlers had a lower frequency of both positive skin reactions to pollens an
TL;DR: In this paper, a yield monitoring system for a grain harvesting combine includes a volume monitor, a moisture monitor, test weight monitor, ground speed monitor, and a computer which receives signals from each monitor and continuously derives harvested grain yield rates from those signals, displays the yield rates on a visual display and records the yield rate information for later recall and transfer to other computers.
Abstract: A yield monitoring system for a grain harvesting combine includes a volume monitor, a moisture monitor, a test weight monitor, a ground speed monitor, and a computer which receives signals from each monitor and continuously derives harvested grain yield rates from those signals, displays the yield rates on a visual display and records the yield rate information for later recall and transfer to other computers. A GPS receiver linked to the system enables it to map yields geographically in the harvested field. The volume monitor receives all grain exiting the clean grain elevator of the combine and passes it through a paddlewheel, the angular displacement of which is monitored over time. The moisture monitor and test weight monitor are mounted to the exterior of the clean grain elevator and receive samples of grain from the lift side of the clean grain elevator.
TL;DR: A decision support system, Stored Grain Advisor Pro (SGA Pro), was developed to provide insect pest management information for wheat stored at commercial elevators as mentioned in this paper, which used a model to predict future risk based on current insect density, grain temperature and moisture.