Agriculture & Forestry
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15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
Artificial Neural Network-Based Prediction of Nipa Sugar Production in Sarawak, Malaysia
AuthorsMuzamil Ayoub; Ana Sakura Zainal Abidin; Kasumawati Lias; Imtiyaz Akbar Najar; Rasli Muslimen; Mohd Azrin Mohd Said; Vannessa Lawai
Affiliations1. Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia; 2. Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia
Spatial Modeling of Sugarcane Yield Using Machine Learning Approaches
AuthorsDiego A. Socadagui-Casas; Andres F. Rodriguez-Vasquez; Yolanda Rubiano-Sanabria; Daniel M. Jimenez-Gutierrez; Sonia R. Socadagui-Casas
Affiliations1. Faculty of Agricultural Sciences, National University of Colombia, Bogota, Colombia; 2. Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy; 3. Department of Statistics, National University of Colombia, Bogota, Colombia
Vinasse Improves Biomass Quality and Aluminum Tolerance in Saccharomyces cerevisiae PE-2
AuthorsSamuel Mariano-da-Silva; Marieli Rossato; Rafael Dal Bosco Ducatti; André Luiz Radünz; Vanderlei Smaniotto; Pedro Henrique Hofstatter Forster; Siumar Pedro Tironi
Affiliations1. Department of Agronomy, Federal University of Fronteira Sul, Chapecó, Brazil; 2. Municipal Department of Environment, Nova Santa Rita, Brazil; 3. R&D Department, Dugan Agribusiness LTDA, Luís Eduardo Magalhães, Brazil; 4. Department of Science and Environmental Technology, Federal University of Fronteira Sul, Erechim, Brazil
Tractor-Operated Multi-Tasking Equipment for Mechanizing Multiple Operations in Sugarcane Cultivation
AuthorsSukhbir Singh; A. K. Singh; Omprabha
Affiliations1. ICAR-Central Institute of Agricultural Engineering, Bhopal, India; 2. Division of Agricultural Engineering, ICAR-Indian Sugar Research Institute, Lucknow, India
Research on the Modeling Method of the Lodging Period Sugarcane Root-Soil System Based on SPH–FEM Coupling Method
AuthorsWang Yang; Xinkai Dang; Zhiheng Lu; Kuo Liao; Chengni Pang; Weilong Dai
Affiliations1. College of Mechanical Engineering, Guangxi University, Nanning, China; 2. Guangxi Agricultural Machinery Research Institute Co., Ltd, Nanning, China
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