Artikel mit Open-Access-Mandaten - Sami KhanalWeitere Informationen
Nicht verfügbar: 1
A techno-environmental overview of a corn stover biomass feedstock supply chain for cellulosic biorefineries
A Shah, M Darr, S Khanal, R Lal
Biofuels 8 (1), 59-69, 2017
Mandate: US Department of Agriculture
Verfügbar: 15
Remote sensing in agriculture—accomplishments, limitations, and opportunities
S Khanal, K Kc, JP Fulton, S Shearer, E Ozkan
Remote Sensing 12 (22), 3783, 2020
Mandate: US Department of Agriculture
Anaerobic digestion for bioenergy production: Global status, environmental and techno-economic implications, and government policies
J Vasco-Correa, S Khanal, A Manandhar, A Shah
Bioresource technology 247, 1015-1026, 2018
Mandate: US Department of Agriculture
Autonomic computing challenges in fully autonomous precision agriculture
J Boubin, J Chumley, C Stewart, S Khanal
2019 IEEE international conference on autonomic computing (ICAC), 11-17, 2019
Mandate: US National Science Foundation
Whole-field reinforcement learning: A fully autonomous aerial scouting method for precision agriculture
Z Zhang, J Boubin, C Stewart, S Khanal
Sensors 20 (22), 6585, 2020
Mandate: US National Science Foundation
Assessing the efficacy of machine learning techniques to characterize soybean defoliation from unmanned aerial vehicles
Z Zhang, S Khanal, A Raudenbush, K Tilmon, C Stewart
Computers and Electronics in Agriculture 193, 106682, 2022
Mandate: US National Science Foundation, Schweizerischer Nationalfonds zur Förderung …
Assessment of the spatial and temporal patterns of cover crops using remote sensing
K KC, K Zhao, M Romanko, S Khanal
Remote Sensing 13 (14), 2689, 2021
Mandate: US Department of Agriculture
Techno-economic analysis of a recirculating tilapia-lettuce aquaponics system
N Zappernick, KV Nedunuri, KR Islam, S Khanal, T Worley, SL Laki, ...
Journal of Cleaner Production 365, 132753, 2022
Mandate: US Department of Agriculture
Assessing the impact of agricultural field traffic on corn grain yield using remote sensing and machine learning
S Khanal, A Klopfenstein, KC Kushal, V Ramarao, J Fulton, N Douridas, ...
Soil and Tillage Research 208, 104880, 2021
Mandate: US Department of Agriculture
Techno-ecologically synergistic food–energy–water systems can meet human and ecosystem needs
K Lee, S Khanal, BR Bakshi
Energy & environmental science 14 (7), 3700-3716, 2021
Mandate: US National Science Foundation
Identification and classification of critical soil and water conservation areas in the Muskingum River basin in Ohio
SK Rattan Lal, Gehendra Kharel, John Fulton
Journal of Soil and Water Conservation 73 (2), 213-226, 2018
Mandate: US Department of Agriculture
Assessment of potential pennycress availability and suitable sites for sustainable aviation fuel refineries in Ohio
SH Mousavi-Avval, S Khanal, A Shah
Sustainability 15 (13), 10589, 2023
Mandate: US Department of Energy
Development of a calibration approach using DNDC and PEST for improving estimates of management impacts on water and nutrient dynamics in an agricultural system
A Bhattarai, G Steinbeck, BB Grant, M Kalcic, K King, W Smith, N Xu, ...
Environmental Modelling & Software 157, 105494, 2022
Mandate: US Department of Agriculture
Grain size estimation in fluvial gravel bars using uncrewed aerial vehicles: A comparison between methods based on imagery and topography
T Wong, S Khanal, K Zhao, SW Lyon
Earth Surface Processes and Landforms 49 (1), 374-392, 2024
Mandate: US Department of Energy, Swedish Research Council for Environment …
Lessons from the biosphere for the anthroposphere: Analysis of recycling structures of conservational measures
M Varga, B Csukas, S Khanal, BR Bakshi
Resources, Conservation and Recycling 192, 106919, 2023
Mandate: Magyar Tudományos Akadémia
Agricultural productivity and water quality tradeoffs of winter cover crops at a landscape scale through the lens of remote sensing
KC Kushal, S Khanal
Journal of Environmental Management 330, 117212, 2023
Mandate: US Department of Agriculture
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