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PLANT ANALYSIS BASED ON THE DRIS SYSTEM: PROGRAMMING INTERFACE WITH A CASE STUDY IN PLANTAIN CROP (Musa AAB)

dc.creatorPérez Zapata, Juan José
dc.creatorÁlvarez Albanés, Eddie Yacir
dc.creatorCastañeda Sanchez, Dario
dc.date2022-12-27
dc.date.accessioned2023-01-03T17:58:30Z
dc.date.available2023-01-03T17:58:30Z
dc.identifierhttps://revistas.udec.cl/index.php/chjaas/article/view/7377
dc.identifier10.29393/CHJAA38-26HDNV10026
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/219279
dc.descriptionThe Diagnosis and Recommendation Integrated System (DRIS) is a tool to evaluate the nutritional status and obtain fertilizer recommendations of several crops. Unlike other methods, DRIS works directly with farmer’s information, focusing on understanding the nutritional balance of the crop. However, the selection of indexes is long and time-consuming. The objective of this work was to develop an algorithm to estimate reference and DRIS indexes for crops in order to facilitate the use of the DRIS methodology. The construction of the algorithm included four stages, (1) theoretical bases, (2) conceptual model design, (3) algorithm implementation, and (4) validation. For a database of crop yield and foliar analyses, the developed algorithm is divided into two subsets (high and low yield), estimating nutrient ratios and variability. For leaf sample diagnosis, the algorithm compares nutritional balance with highy-ield population, generating DRIS indexes numerically and graphically. A nutrient is imbalanced if its DRIS index in the graph is outside the whiskers. The efficiency and operability of the algorithm was tested with foliar analyses of fifty plantain crops distributed in two subregions of the Antioquia Department, Colombia. The developed procedure allowed determining quantitative and graphical information of the nutrient balance in foliar samples.en-US
dc.descriptionThe Diagnosis and Recommendation Integrated System (DRIS) is a tool to evaluate the nutritional status and obtain fertilizer recommendations of several crops. Unlike other methods, DRIS works directly with farmer’s information, focusing on understanding the nutritional balance of the crop. However, the selection of indexes is long and time-consuming. The objective of this work was to develop an algorithm to estimate reference and DRIS indexes for crops in order to facilitate the use of the DRIS methodology. The construction of the algorithm included four stages, (1) theoretical bases, (2) conceptual model design, (3) algorithm implementation, and (4) validation. For a database of crop yield and foliar analyses, the developed algorithm is divided into two subsets (high and low yield), estimating nutrient ratios and variability. For leaf sample diagnosis, the algorithm compares nutritional balance with highy-ield population, generating DRIS indexes numerically and graphically. A nutrient is imbalanced if its DRIS index in the graph is outside the whiskers. The efficiency and operability of the algorithm was tested with foliar analyses of fifty plantain crops distributed in two subregions of the Antioquia Department, Colombia. The developed procedure allowed determining quantitative and graphical information of the nutrient balance in foliar samples.es-ES
dc.formatapplication/pdf
dc.languageeng
dc.publisherFacultad de Agronomía, Facultad de Ingeniería Agrícola y Facultad de Ciencias Veterinarias - Universidad de Concepciónes-ES
dc.relationhttps://revistas.udec.cl/index.php/chjaas/article/view/7377/9283
dc.rightsDerechos de autor 2022 Juan José Pérez Zapata, Eddie Yacir Álvarez Albanés, Dario Castañeda Sanchezes-ES
dc.rightshttps://creativecommons.org/licenses/by/4.0es-ES
dc.sourceChilean Journal of Agricultural & Animal Sciences (ex Agro-Ciencia); Vol. 38 No. 3 (2022); 274-286en-US
dc.sourceChilean Journal of Agricultural & Animal Sciences; Vol. 38 Núm. 3 (2022); 274-286es-ES
dc.source0719-3890
dc.subjectstandardses-ES
dc.subjectyieldes-ES
dc.subjectnutritional balancees-ES
dc.subjectplant nutrientses-ES
dc.subjectfoliar analysises-ES
dc.titlePLANT ANALYSIS BASED ON THE DRIS SYSTEM: PROGRAMMING INTERFACE WITH A CASE STUDY IN PLANTAIN CROP (Musa AAB)en-US
dc.titlePLANT ANALYSIS BASED ON THE DRIS SYSTEM: PROGRAMMING INTERFACE WITH A CASE STUDY IN PLANTAIN CROP (Musa AAB)es-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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