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 imp...

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Detalles Bibliográficos
Autor Principal: Mosquera Procel, Johanna Michelle (author)
Formato: bachelorThesis
Publicado: 2024
Subjects:
Acceso en liña:http://dspace.utb.edu.ec/handle/49000/17120
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Summary: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.