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Vol.3 , No. 1, Publication Date: Jan. 11, 2018, Page: 27-37
. This was validated at a national metal silo complex. Storage parameters used for grain reception were; moisture content of ≤ 12%), hectolitre weight, 65–75Kg/Hl, insect damage, ≤ 1%), mould damage of ≤ 1%), and foreign matter content ≤ 1%). Daily temperature and moisture content of stored grains were obtained and computed as determinants of aeration. Storage activities were classified into modules having grain supply, sampling, loading, stock management, aeration, pest management, and equipment maintenance. The modules were coded in Pre – processor Hypertext higher programming language using Dreamweaver platform and Structural Query language as database management system. Storage parameters for different grains and cereals were subjected to statistical analysis and there was a significant difference (p < 0.05) between the values obtained from the package and the manually computed values. Weight loss was reduced from >5% - < 2%, moulded grain from 6.35% to 1%, handling time was reduced by 66%. Application of the developed computer software to grain storage management would allow access to information by all users, and advise when appropriate&picture=http://www.aascit.org/aascit/decorators/img/journal/805.jpg)
| [1] | Bayode Julius Olorunfemi, Department of Mechanical Engineering, Federal University Oye Ekiti, Oye-Ekiti, Nigeria. |
| [2] | Sunday Emmanuel Kayode, Department of Agricultural and Environmental Engineering, Federal University of Technology, Akure, Nigeria. |
There are different types of losses in grains during their storage periods. These include; weight loss, quality loss, colouration loss, compositional loss, value loss, and other losses. The objective of this research is to describe a new method for the assessment of weight loss of stored grain in metal silos using computer-aided management. Questionnaires were administered to grain managers and merchants to obtain primary data on the status of weight loss in grain during storage. Data obtained were used to design computer software for grain stock management (GSM). This was validated at a national metal silo complex. Storage parameters used for grain reception were; moisture content of ≤ 12%), hectolitre weight, 65–75Kg/Hl, insect damage, ≤ 1%), mould damage of ≤ 1%), and foreign matter content ≤ 1%). Daily temperature and moisture content of stored grains were obtained and computed as determinants of aeration. Storage activities were classified into modules having grain supply, sampling, loading, stock management, aeration, pest management, and equipment maintenance. The modules were coded in Pre – processor Hypertext higher programming language using Dreamweaver platform and Structural Query language as database management system. Storage parameters for different grains and cereals were subjected to statistical analysis and there was a significant difference (p < 0.05) between the values obtained from the package and the manually computed values. Weight loss was reduced from >5% - < 2%, moulded grain from 6.35% to 1%, handling time was reduced by 66%. Application of the developed computer software to grain storage management would allow access to information by all users, and advise when appropriate
Keywords
Weight-loss, Grain, Storage, Silo, Computer-aided
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