Implementación de software para el monitoreo de estrés abiótico en el cultivo de maíz (Zea mays L.)

In the development of the present research carried out “Implementation of software for monitoring abiotic stress in corn (Zea mays L.) Cultivation”. Corn is a plant that is part of the grass family and is among the most cultivated cereals worldwide. In addition, this grain is considered the most important in the world, with a production that exceeds one billion tons, while the use of agricultural software allows farmers to improve efficiency and control in all their operations. These digital tools are designed to address the needs and challenges of agriculture, streamlining crucial decision-making in agricultural management. Its general objective is to describe the use of software for monitoring abiotic stress in corn (Zea mays L.) cultivation. In its methodology, information was gathered from current documents, research articles, virtual libraries and websites to help present the opinions and ideas of the actors that allow research developments. As for the result, this technology allows early identification of areas affected by abiotic stress. Furthermore, this optimization reduces operating costs and increases yield, thus underlining the importance of continuing research and development of solutions that improve the use of abiotic stress monitoring software to increase the resilience and productivity of corn crops worldwide. It is concluded that these programs facilitate the early and effective detection of abiotic stress, optimizing the use of resources and improving crop yield.

In the development of the present research carried out “Implementation of software for monitoring abiotic stress in corn (Zea mays L.) Cultivation”. Corn is a plant that is part of the grass family and is among the most cultivated cereals worldwide. In addition, this grain is considered the most important in the world, with a production that exceeds one billion tons, while the use of agricultural software allows farmers to improve efficiency and control in all their operations. These digital tools are designed to address the needs and challenges of agriculture, streamlining crucial decision-making in agricultural management. Its general objective is to describe the use of software for monitoring abiotic stress in corn (Zea mays L.) cultivation. In its methodology, information was gathered from current documents, research articles, virtual libraries and websites to help present the opinions and ideas of the actors that allow research developments. As for the result, this technology allows early identification of areas affected by abiotic stress. Furthermore, this optimization reduces operating costs and increases yield, thus underlining the importance of continuing research and development of solutions that improve the use of abiotic stress monitoring software to increase the resilience and productivity of corn crops worldwide. It is concluded that these programs facilitate the early and effective detection of abiotic stress, optimizing the use of resources and improving crop yield.

En el desarrollo de la presente investigación realizada” Implementación de software para el monitoreo de estrés abiótico en el cultivo de maíz (Zea mays L.)”. El maíz es una planta que forma parte de la familia de las gramíneas y se encuentra entre los cereales más cultivados a nivel mundial. Además, este grano es considerado el más importante en todo el mundo, con una producción que sobrepasa el billón de toneladas, mientras que el uso de software agrícola permite a los agricultores mejorar la eficiencia y el control en todas las sus operaciones. Estas herramientas digitales, están diseñadas para abordar las necesidades y desafíos de la agricultura, agilizan la toma de decisiones cruciales en la gestión agrícola. Tiene como objetivo general describir el uso de software para el monitoreo de estrés abióticos en el cultivo de maíz (Zea mays L.). En su metodología se reunió información de documentos actuales artículos de investigación, bibliotecas virtuales y sitios web para ayudar a presentar las opiniones e ideas de los actores que permitan desarrollos de investigación. En cuanto al resultado esta tecnología permite identificar de forma temprana las zonas afectadas por estrés abiótico. Además, esta optimización reduce los costes operativos y aumenta el rendimiento, es así como este resultado subraya la importancia de continuar la investigación y el desarrollo de soluciones que mejoren el uso de software de monitoreo del estrés abiótico para aumentar la resiliencia y la productividad de los cultivos de maíz en todo el mundo. Se concluye lo siguiente, estos programas facilitan la detección temprana y efectiva del estrés abiótico, optimizando el uso de recursos y mejorando el rendimiento de los cultivos.