Azar, N. A., Milan, S. G. and Kayhomayoon, Z. (2021). The prediction of longitudinal dispersion coefficient in natural streams using LS-SVM and ANFIS optimized by Harris hawk optimization algorithm. J. Contam. Hydrol., 103781.
Bui, D. T., Moayedi, H., Kalantar, B., Osouli, A., Pradhan, B., Nguyen, H. and Rashid, A. S. A. (2019). A novel swarm intelligence—Harris hawks optimization for spatial assessment of landslide susceptibility. J. Sensors, 19(16), 3590.
Czarnecki, S. and Düring. R. A. (2015). Influence of long-term mineral fertilization on metal contents and properties of soil samples taken from different locations in Hesse, Germany. J. Soil, 1(1), 23-33.
Essa, F. A., Abd Elaziz, M. and Elsheikh, A. H. (2020). An enhanced productivity prediction model of active solar still using artificial neural network and Harris Hawks optimizer. Appl. Therm. Eng., 170, 115020.
Gruszczynski, S. (2009). Assessment of suitability of various models for estimating cation exchange capacity (CEC). Pol. J. Soil. Science. 42(1). 16-29.
Heidari, A. A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M. and Chen, H. (2019). Harris hawks optimization: Algorithm and applications. Future Gener. Comput. Syst., 97. 849-872. Doi: 10.1016/ J. future.2019.02.028.
Jafarzadeh, A. A., Pal, M., Servati, M., FazeliFard, M. H. and Ghorbani, M. A. (2016). Comparative analysis of support vector machine and artificial neural network models for soil cation exchange capacity prediction. Int. J. Environ. Sci. Technol., 13(1). 87-96.
Jang, J. S. (1993). ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man. Cybernet., 23(3), 665-685.
Kvalheim, O. M. (2010). Interpretation of partial least squares regression models by means of target projection and selectivity ratio plots. J. Chemomet., 24(7‐8). 496-504.
Liao, K., Xu, S., Wu, J., Zhu, Q. and An, L. (2014). Using support vector machines to predict cation exchange capacity of different soil horizons in Qingdao City, China. J. Plant Nut. Soil Sci., 177(5), 775-782.
Milan, S. G., Roozbahani, A., Azar, N. A. and Javadi, S. (2021). Development of adaptive neuro fuzzy inference system–evolutionary algorithms hybrid models (ANFIS-EA) for prediction of optimal groundwater exploitation. J. Hydrol., 598, 126258.
Moayedi, H., Gör, M., Lyu, Z. and Bui, D. T. (2020). Herding Behaviors of grasshopper and Harris hawk for hybridizing the neural network in predicting the soil compression coefficient. Measur., 152. 107389.
Pachepsky, Y. A., Timlin, D. and Varallyay, G. Y. (1996). Artificial neural networks to estimate soil water retention from easily measurable data. J. Soil Sci. Soc. Am., 60(3), 727-733.
Parker, R. (2009). Plant & soil science: Fundamentals & applications. Cengage Learning.
Sammen, S. S., Ghorbani, M. A., Malik, A., Tikhamarine, Y., AmirRahmani, M., Al-Ansari, N. and Chau, K. W. (2020). Enhanced artificial neural network with harris hawks optimization for predicting scour depth downstream of ski-jump spillway. J. Appl. Sci., 10(15), 5160.
Sharafati, A., Haghbin, M., Aldlemy, M. S., Mussa, M. H., Al Zand, A. W., Ali, M. and Yaseen, Z. M. (2020). Development of advanced computer aid model for shear strength of concrete slender beam prediction. J. Appl. Sci., 10(11), 3811.
Shehabeldeen, T. A., Abd Elaziz, M., Elsheikh, A. H. and Zhou, J. (2019). Modeling of friction stir welding process using adaptive neuro-fuzzy inference system integrated with Harris hawks optimizer. J. Mat. Res. Technol., 8(6). 5882-5892.
Tang, L., Zeng, G., Nourbakhsh, F. and Shen, G. L. (2009). Artificial neural network approach for predicting cation exchange capacity in soil based on physico-chemical properties. J. Environ. Eng. Sci., 26(1), 137-146.
Tikhamarine, Y., Souag-Gamane, D., Ahmed, A. N., Sammen, S. S., Kisi, O., Huang, Y. F. and El-Shafie, A. (2020). Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization. J. Hydrol., 589, 125133.
Xu, S., Zhao, Y., Wang, M. and Shi, X. (2018). Comparison of multivariate methods for estimating selected soil properties from intact soil cores of paddy fields by Vis–NIR spectroscopy. Geoderma. 310. 29-43.