A review on the applications of machine learning and deep learning in agriculture section for the production of crop biomass raw materials
Author:
Affiliation:
1. Faculty of Engineering and Applied Sciences, University of Regina, Saskatchewan, Canada
2. Department of Energy Systems Engineering, Faculty of Engineering, Atilim University, Ankara, Turkey
Publisher
Informa UK Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2023.2232322
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1. Precision Irrigation Management Using Machine Learning and Digital Farming Solutions
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4. Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms
5. Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning
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1. Automated Biomass Estimation through Depth Measurement with an OAK-D Camera;2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE);2023-11-06
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