Evaluación de aptitud de tierras al cultivo de caña de azúcar en la Huasteca potosina, México, por técnicas geomáticas

Aguilar‐Rivera, Noé; Olvera-Vargas, Luis Alberto; Mendoza, Guadalupe

doi:10.4067/s0718-34022013000200010

Cited by 11 publications

(5 citation statements)

References 20 publications

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“…The results obtained from the parameters measured by the laboratory were separated into 4 different groups, based on data from the literature of the desirable variables in the soil for higher production of sugarcane (16 variables were by this system) [4,36,37]. The four groups were the following: (1) unsuitable, (2) low, (3) media, and (4) high.…”

Section: Soil Aptitude Evaluationmentioning

confidence: 99%

“…The agricultural aptitude of soil to obtain above 80 t/ha of sugarcane requires, among others, the following: available Nitrogen above 300 kg/ha, Phosphorus (P) above 40 ppm, Potassium (K) above 468 ppm, and potential of Hydrogen (pH) between 6.6 and 7.3 amo [3,4]. These parameters have to be maintained and monitored because the properties of soil vary greatly due to agricultural cropping patterns [5] The challenge is still the optimization of the parameters that determine soil capability to produce food using a minimum of physicochemical parameters.…”

Section: Introductionmentioning

confidence: 99%

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Determination of Soil Agricultural Aptitude for Sugar Cane Production in Vertisols with Machine Learning

et al. 2023

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Sugarcane is one of the main agro-industrial products consumed worldwide, and, therefore, the use of suitable soils is a key factor to maximize its production. As a result, the need to evaluate soil matrices, including many physical, chemical, and biological parameters, to determine the soil’s aptitude for growing food crops increases. Machine learning techniques were used to perform an in-depth analysis of the physicochemical indicators of vertisol-type soils used in sugarcane production. The importance of the relationship between each of the indicators was studied. Furthermore, and the main objective of the present work, was the determination of the minimum number of the most important physicochemical indicators necessary to evaluate the agricultural suitability of the soils, with a view to reducing the number of analyses in terms of physicochemical indicators required for the evaluation. The results obtained relating to the estimation of agricultural capability using different numbers of parameters showed accuracy results of up to 91% when implementing three parameters: Potassium (K), Calcium (Ca) and Cation Exchange Capacity (CEC). The reported results, relating to the estimation of the physicochemical parameters, indicated that it was possible to estimate eleven physicochemical parameters with an average accuracy of 73% using only the data of K, Ca and CEC as input parameters in the Machine Learning models. Knowledge of these three parameters enables determination of the values of soil potential in regard to Hydrogen (pH), organic matter (OM), Phosphorus (P), Magnesium (Mg), Sulfur (S), Boron (B), Copper (Cu), Manganese (Mn), and Zinc (Zn), the Calcium/Magnesium ratio (Ca/Mg), and also the texture of the soil.

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Section: Soil Aptitude Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination of Soil Agricultural Aptitude for Sugar Cane Production in Vertisols with Machine Learning

et al. 2023

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“…When agricultural residue burning and re-burning are applied, especially alongside mechanized harvesting, they lead to modifications in soil properties. These modifications are evident in the decrease of organic matter, increased compaction, and variations in pH, among others, which are now known as global soil changes (Aguilar- Rivera et al, 2013). Furthermore, following the removal of forested areas to establish sugarcane cultivation, the soil, initially containing 6 to 10% organic matter, begins to decrease to 3 to 4 %, without accounting for the additional loss of organic matter due to burning during harvesting (SAGARPA, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Cuando se aplica la quema y requema de los residuos agrícolas y, además, si la cosecha se realiza de forma mecanizada, ocurren modificaciones de las propiedades del suelo, manifestadas en la disminución de materia orgánica, el aumento de la compactación y variaciones del pH, entre otras, lo que constituye y actualmente se conoce, como cambios globales del suelo (Aguilar- Rivera et al, 2013). Además, después de la remoción del área boscosa para el establecimiento del cultivo de la caña de azúcar, el suelo con un contenido de materia orgánica de entre 6 y 10 % comienza a disminuir de 3 a 4 %, esto sin considerar la pérdida de materia orgánica por la quema para realizar la cosecha (SAGARPA, 2017).…”

Section: Introductionunclassified

Modelación de las características edafológicas de un predio destinado al cultivo de caña de azúcar en Veracruz, México

Cebada-Merino,

Crescencio-Andrade,

Serna-Lagunes

et al. 2024

geografia

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Una caracterización edáfica con modelación geo-estadística es un procedimiento para orientar el manejo agronómico de los cultivos. Se describieron las características edafológicas del suelo de 10 ha destinadas al cultivo de caña de azúcar, en Potrero Nuevo, Atoyac, Veracruz, para determinar: Ca, CE, CIC, DenA, P, Mg, Mo, N y pH del suelo con base en la NOM-021-RENAT-2000. Los mapeos geoestadísticos de las características edáficas del suelo se desarrollaron por medio de sistemas de información geográfica y la interpolación Krigging. Las muestras de suelo analizadas en este estudio presentaron valores muy particulares que variaron en la concentración de Ca, CE, CIC, DenA, P, Mg, Mo, N y pH. Las muestras que presentaron mejores características físico-químicas del suelo se concentraron en el centro del predio, específicamente las muestras de la 21 a la 26, fueron las que superaron los valores de las muestras de los extremos del terreno. Los valores obtenidos fueron inferiores respecto a la NOM-021-RECNAT-2000, y en el mapeo, indican un desequilibrio de estos nutrientes en diferentes áreas del predio. Incorporar materia orgánica de manera gradual, aportaría nutrientes, humedad y mejoraría las condiciones para la productividad del cultivo.

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“…Evaluating suitable lands availability is necessary to establish crops and to obtain an optimal yield; this information is essential for the development of government policies and for investors (Rhebergen et al, 2016). In this regard, Mexico has made efforts to evaluate land suitability for several crops that have an economic importance for the agricultural sector (Aguilar et al, 2013;González and Hernández, 2016;Ramírez-Sánchez et al, 2019). Specific studies about the establishment of forest species (Aguilar-Rodríguez et al, 2017) and perennial crops (Rivera-Hernández et al, 2012), as well as about alternatives for the production of biofuels (González et al, 2015), have been carried out in Tabasco.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Suitable Lands for Elaeis guineensis Jacq. Using Geographic Information Systems in the Sierra Region, Tabasco, Mexico

López¹,

Brindis-Santos²,

Pérez-Roblero³

et al. 2021

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Objective: The objective of this study was to evaluate the edaphic suitability of Elaeis guineensis at a semi-detailed scale (1:50000), in the Plains and Terraces of Tabasco, Mexico (PTT). Design/Methodology/Approach: The edaphic requirements consisted of a semi-detailed soil map. The evaluation of the edaphic suitability was based on the agroecological zoning methodology proposed by FAO and the final 1:50000 scale map was developed using the algebra mapping tool with the ArcGis® Geographic Information System. Results: The Gleysols, Fluvisols, Luvisols, and Lixisols groups dominate the PTT, with 65.1, 16.2, 6.3, and 4%, respectively. Most of the soils (79.95%) have zero suitability for oil palm. Study Limitations/Implications: Oil palm is the eighth most important perennial crop (over cocoa) for the economy of southeastern Mexico. In this scenario, the expansion of plantations in the country is a possibility; therefore, complying with internal regulations and carry is important. Findings/Conclusions: The internal drainage of Gleysols soils limits the establishment of E. guineensis plantations in the plains and terraces of Tabasco, Mexico.

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Evaluación de aptitud de tierras al cultivo de caña de azúcar en la Huasteca potosina, México, por técnicas geomáticas

Cited by 11 publications

References 20 publications

Determination of Soil Agricultural Aptitude for Sugar Cane Production in Vertisols with Machine Learning

Determination of Soil Agricultural Aptitude for Sugar Cane Production in Vertisols with Machine Learning

Modelación de las características edafológicas de un predio destinado al cultivo de caña de azúcar en Veracruz, México

Evaluation of Suitable Lands for Elaeis guineensis Jacq. Using Geographic Information Systems in the Sierra Region, Tabasco, Mexico

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