Miller Magazine Issue: 120 December 2019

86 ARTICLE MILLER / DECEMBER 2019 corporated to the package of the aeration equipment. Such wireless monitoring assists the operator in decision mak- ing on the necessity of intervention during the treatment. Furthermore, recent advancements in machine learning offer the capability for automatic aeration control through an easy-to-use web interface (Fig. 3) (Centaur Analytics, 2018). These automatic aeration systems combine grain conditions and weather data to produce an aeration plan that minimizes the aeration fan operating hours and maxi- mizes the benefits of the aeration process. Acknowledgement: Authors thank Mr. Nadav Inbari for his technical assistance in the preparation of this man- uscript. REFERENCES Arthur, F. H., Casada, M. E. 2005. Feasibility of summer aeration for management of wheat stored in Kansas. Appl. Eng. Agric. 21: 1027-1038. Arthur, F. H., Casada, M. E. 2010. Directional flow of summer aeration to manage insect pests in stored wheat. Appl. Eng. 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