Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Latimore Mark"'
Publikováno v:
Acta Technologica Agriculturae, Vol 20, Iss 2, Pp 29-35 (2017)
Artificial neural networks (ANN) and traditional regression models were developed for prediction of thermal properties of sweet sorghum bagasse as a function of moisture content and room temperature. Predictions were made for three thermal properties
Externí odkaz:
https://doaj.org/article/977a74cb5ce94bad8e56039ddf7ea7d6
Effect of Ammonium and Nitrate Nitrogen upon Photosynthate Supply and Nitrogen Fixation by Soybeans1
Publikováno v:
Crop Science; May 1977, Vol. 17 Issue: 3 p399-404, 6p
Autor:
Ekefre DE; Food Engineering Laboratory, College of Agriculture, Family Sciences and Technology, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA., Mahapatra AK; Food Engineering Laboratory, College of Agriculture, Family Sciences and Technology, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA., Latimore M Jr; Food Engineering Laboratory, College of Agriculture, Family Sciences and Technology, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA., Bellmer DD; 108 Food and Agricultural Products Center, Oklahoma State University, Stillwater, OK 74078, USA., Jena U; Chemical and Materials Engineering, New Mexico State University, 1780 E University Ave., Las Cruces, NM 88003, USA., Whitehead GJ; Food Engineering Laboratory, College of Agriculture, Family Sciences and Technology, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA., Williams AL; Food Engineering Laboratory, College of Agriculture, Family Sciences and Technology, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA.
Publikováno v:
Heliyon [Heliyon] 2017 Dec 28; Vol. 3 (12), pp. e00490. Date of Electronic Publication: 2017 Dec 28 (Print Publication: 2017).