1. QuiÜones-Huatangari, L., A.E. Huaccha-Castillo, F.H. Fernandez-Zarate, E. Morales-Rojas, J.D.M. Marrufo-Jimenez and L.L. MejØa-CÞrdova, 2023. Analysis of germination curves of Cinchona officinalis L. (Rubiaceae) using sigmoidal mathematical models. Int. J. Agron., 10.1155/2023/1360608.
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2. Monteza, L.P., M.C. Rivera, L.Q. Huatangar and, E.M. Rojas, 2023. Sound pressure level at terminals through data mining. Sci. Program., 10.1155/2023/8776630.
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3. Huaccha-Castillo, A.E., F.H. Fernandez-Zarate, L.J.P. Delgado, K.S. Tantalean-Osores and S.P. Vaca-Marquina, et al., 2023. Non-destructive estimation of leaf area and leaf weight of Cinchona officinalis L. (Rubiaceae) based on linear models. For. Sci. Technol., 10.1080/21580103.2023.2170473.
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4. DØaz, W., A. Tarrillo, C. OcaÜa and L. QuiÜones, 2023. Noise estimation using an artificial neural network in the urban area of Jaen, Cajamarca. Bull. Electr. Eng. Inf., 12: 1427-1434.
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5. Zarate, F.H.F., A.E.H. Castillo, L.Q. Huatangari and T.S. Santillan, 2022. Tiene influencia el sustrato sobre la germinaciÞn de Cinchona pubescens Vahl. (Rubiaceae). Rev. Fac. Nac. Agron. Medellín, 75: 10071-10076.
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6. Zarate, F.H.F., A.E. Huaccha-Castillo, L. QuiÜones-Huatangari and T. Sanchez-Santillan, 2022. ¿Tiene influencia el sustrato sobre la germinaciÞn de Cinchona pubescens Vahl. (Rubiaceae)? Rev. Fac. Nac. Agron. Medellín, 75: 10071-10076.
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7. Rojas, E.M., M.E. ReÌtegui-Inga, R.R. Inga, P.L.N. Vargas and M.d.P.B. Chavez et al., 2022. Rainwater harvesting and treatment systems in South America: A bibliometric analysis (2000-2021). Am. J. Appl. Sci., 19: 93-98.
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8. QuiÜones-Huatangari, L., F.H. Fernandez-Zarate and A.E. Huaccha-Castillo, 2022. Nitrous oxide emissions generated in coffee cultivation: A systematic review. Nat. Env. Poll. Tech., 21: 1697-1703.
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9. O.D.A.n Guerrero, A.J. Neira, L.Q. Huatangari and R.J.Y. Meza, 2022. Barras de cereales a base de quinua (Chenopodium quinoa), caÜihua (Chenopodium pallidicaule) y hierro hemØnico. Pakamuros, 10: 106-119.
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10. Huatangari, L.Q., C.L.O. ZåÜiga, A.E.H. Castillo, R.E.A. Jacinto and M.E.M. Pino et al., 2022. Detection of rust emergence in coffee plantations using data mining: a systematic review. OnLine J. Biol. Sci., 22: 157-164.
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11. GrÌndez, J., M. Oliva, E. Morales, M. GoÜas, S. Chavez, A. Guivin, L. QuiÜones and M. Milla, 2022. Evaluation of heavy metals in vegetables from two origins marketed in Northern Peru. Nat. Env. Poll. Tech., 21: 2269-2274.
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12. Fernandez-Zarate, F.H., A.E. Huaccha-Castillo, L. QuiÜones-Huatangari, S.P. Vaca-Marquina and T. Sanchez-Santillan et al., 2022. Effect of arbuscular mycorrhiza on germination and initial growth of Cinchona officinalis L. (Rubiaceae). For. Sci. Technol., 10.1080/21580103.2022.2124318.
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13. Fernandez, F.H., A.E. Huaccha, L.M. Barturen, L. QuiÜones and T. Sanchez, 2022. Efecto del sustrato en la propagaciÞn sexual de Cinchona officinalis L. (Rubiaceae). Número, Vol. 31. 10.7818/ECOS.2314.
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14. RascÞn, J., W.G. Angeles, L.Q. Huatangari, M. Oliva and M.ì.B. GurbillÞn, 2021. Dry and wet events in Andean populations of Northern Peru: A case study of Chachapoyas, Peru. Front. Environ. Sci., Vol. 9. 10.3389/fenvs.2021.614438.
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15. QuiÜones-Huatangari, L., L. Ochoa, M.E. Milla-Pino, J.F. BazÌn, O.A. Gamarra and J. RascÞn, 2021. Water quality index using fuzzy logic Utcubamba River, Peru rcia, 37: 6-18.
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16. Ojeda, J.M.P., S.R. Bocanegra and L.Q. Huatangari, 2021. Determination of the compressive strength of concrete using artificial neural network. Int. J. Eng. Technol. Innovation, 11: 204-215.
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17. Morales, E., S. ChÌvez, E. Chichipe, M. Oliva and L. QuiÜones, 2021. Edaphic macrofauna and soil physicochemical properties, in smallholder coffee farms. Rev. Facultad Agronomía Universidad Zulia, 38: 934-950.
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18. Trigoso, D.I., R.S. LÞpez, N.B.R. BriceÜo, J.O.S. LÞpez and D. GÞmez FernÌndez et al., 2020. Land suitability analysis for potato crop in the Jucusbamba and Tincas microwatersheds (Amazonas, NW peru): AHP and RS-GIS approach. Agronomy, Vol. 10. 10.3390/agronomy10121898.
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19. Huatangari, L.Q., M.E.M. Pino, O.A.G. Torres, R.S. LÞpez and J.F.B. Correa, 2020. Empleo del modelo streeter-phelps para estimar el oxØgeno disuelto del rØo utcubamba. Ecuadorian Sci. J., 4: 12-16.
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20. Huatangari, L.Q., L.O. Toledo, N.K. Valverde, O.G. Torres, J.B. Correa and J.D. Soto, 2020. Red neuronal artificial para estimar un Øndice de calidad de agua. Enfoque UTE, 11: 109-120.
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21. Huatangari, L.Q., L.O. Toledo, N.K. Valverde, O.G. Torres, J.B. Correa and J.D. Soto, 2020.
    Artificial neural network to estimate a water quality index [Spanish]. Enfoque UTE Rev., 11: 109-120.
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