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Benyamin Khoshnevisan
Researcher at University of Maryland College of Agriculture and Natural Resources
Publications - 95
Citations - 3960
Benyamin Khoshnevisan is an academic researcher from University of Maryland College of Agriculture and Natural Resources. The author has contributed to research in topics: Life-cycle assessment & Anaerobic digestion. The author has an hindex of 30, co-authored 73 publications receiving 2430 citations. Previous affiliations of Benyamin Khoshnevisan include Technical University of Denmark & University of Tehran.
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A comprehensive review of engineered biochar: Production, characteristics, and environmental applications
Hamed Kazemi Shariat Panahi,Hamed Kazemi Shariat Panahi,Mona Dehhaghi,Mona Dehhaghi,Yong Sik Ok,Abdul-Sattar Nizami,Benyamin Khoshnevisan,Solange I. Mussatto,Mortaza Aghbashlo,Meisam Tabatabaei,Su Shiung Lam,Su Shiung Lam +11 more
TL;DR: In this article, the state-of-the-art knowledge about engineered biochar production, properties, and applications is summarized by summarizing great deals of research and knowledge on the field.
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Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks
TL;DR: In this paper, an Artificial Neural Network (ANN) model with 11-3-2 structure was used to predict wheat yield and GHG emissions in Esfahan province of Iran.
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Potential of radial basis function based support vector regression for global solar radiation prediction
TL;DR: Experimental results show that an improvement in predictive accuracy and capability of generalization can be achieved by the proposed approach and comparing SVR_rbf results with SVR, ANFIS, and ANN reveals that SVR-rbf outperforms the POLY model in terms of prediction accuracy.
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A critical review on livestock manure biorefinery technologies: Sustainability, challenges, and future perspectives
Benyamin Khoshnevisan,Na Duan,Panagiotis Tsapekos,Mukesh Kumar Awasthi,Zhidan Liu,Ali Mohammadi,Irini Angelidaki,Daniel C.W. Tsang,Zengqiang Zhang,Junting Pan,Lin Ma,Mortaza Aghbashlo,Meisam Tabatabaei,Hongbin Liu +13 more
TL;DR: In this paper, a review of the most frequently employed manure management technologies from their state of the art, challenges, sustainability, environmental regulations and incentives, and improvement strategies is presented.
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Environmental impact assessment of tomato and cucumber cultivation in greenhouses using life cycle assessment and adaptive neuro-fuzzy inference system
TL;DR: In this paper, a study was carried out in Isfahan province, Iran, to assess the environmental impact of greenhouse cucumber and tomato production using life-cycle assessment (LCA) methodology.