Development of Novel Hybrid Models for Prediction of Drought- and Stress-Tolerance Indices in Teosinte Introgressed Maize Lines Using Artificial Intelligence Techniques
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- Xiaohu Wen & Jianhua Si & Zhibin He & Jun Wu & Hongbo Shao & Haijiao Yu, 2015. "Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3195-3209, July.
- Vishwakarma, Dinesh Kumar & Pandey, Kusum & Kaur, Arshdeep & Kushwaha, N.L. & Kumar, Rohitashw & Ali, Rawshan & Elbeltagi, Ahmed & Kuriqi, Alban, 2022. "Methods to estimate evapotranspiration in humid and subtropical climate conditions," Agricultural Water Management, Elsevier, vol. 261(C).
- Passioura, J. B., 1983. "Roots and drought resistance," Agricultural Water Management, Elsevier, vol. 7(1-3), pages 265-280, September.
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- Radko Loučka & Filip Jančík & Petr Homolka & Yvona Tyrolová & Petra Kubelková & Alena Výborná & Veronika Koukolová & Václav Jambor & Jan Nedělník & Jaroslav Lang & Marie Gaislerová, 2022. "Pilot Study on Predictive Traits of Fresh Maize Hybrids for Estimating Milk and Biogas Production," Agriculture, MDPI, vol. 12(4), pages 1-10, April.
- Abhinav Kumar Singh & Pankaj Kumar & Rawshan Ali & Nadhir Al-Ansari & Dinesh Kumar Vishwakarma & Kuldeep Singh Kushwaha & Kanhu Charan Panda & Atish Sagar & Ehsan Mirzania & Ahmed Elbeltagi & Alban Ku, 2022. "An Integrated Statistical-Machine Learning Approach for Runoff Prediction," Sustainability, MDPI, vol. 14(13), pages 1-30, July.
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Keywords
drought-tolerance index; stress-tolerance index; MLP; SVM; MLP-GA; SVM-GA; genetic algorithm;All these keywords.
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