Agricultura De Precisión Y Protección De Cultivos

Martí, Santiago Planas de

doi:10.16924/revinge.47.3

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…But it should not be forgotten that Ortiz [55] showed a 14.6% resistance of Echinochloa colona (L.) accessions from different origins to the cyhalofop-butyl herbicide in rice, which serves as a wake-up call to encourage the use of herbicides with different modes of action, more focalised applications or even new mechanisms to control weeds, as well as monitoring the effectiveness of applications in the coming years. Planas [56] highlighted innovations in precision agriculture and crop protection, including the use of drones to control pests and diseases in low-growing and woody crops. He also talked about the incorporation of sensors for the application of doses proportional to the leaf area detected.…”

Section: Discussionmentioning

confidence: 99%

Remote Sensing Evaluation Drone Herbicide Application Effectiveness for Controlling Echinochloa spp. in Rice Crop in Valencia (Spain)

Bautista,

Tarrazó-Serrano,

Uris

et al. 2024

Sensors

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Rice (Oryza sativa L.) is a staple cereal in the diet of more than half of the world’s population. Within the European Union, Spain is a leader in rice production due to its climate and tradition, accounting for 26% of total EU production in 2020. The Valencian rice area covers around 15,000 hectares and is strongly influenced by biotic and abiotic factors. An important biotic factor affecting rice production is weeds, which compete with rice for sunlight, water and nutrients. The dominant weed in Spain is Echinochloa spp., although wild rice is becoming increasingly important. Rice cultivation in Valencia takes place in the area of L’Albufera de Valencia, which is a natural park, i.e., a special protection area. In this natural area, the use of phytosanitary products is limited, so it is necessary to use the minimum amount possible. Therefore, the objective of this work is to evaluate the possibility of using remote sensing effectively to determine the effectiveness of the application of the herbicide cyhalofop-butyl by drone for the control of Echinochloa spp. in rice crops in Valencia. The results will be compared with those obtained by using sterilisation machines (electric backpack sprayers) to apply the herbicide. To evaluate the effectiveness of the application, the reflectance obtained by the satellite sensors in the red and near infrared (NIR) wavelengths, as well as the normalised difference vegetation index (NDVI), were used. The remote sensing results were analysed and complemented by the number of rice plants and weeds per area, plant dry weight, leaf area, BBCH phenological state, SPAD index values, chlorophyll content and relative growth rate. Remote sensing is validated as an effective tool for determining the efficacy of an herbicide in controlling weeds applied by both the drone and the electric backpack sprayer. The weeds slowed down their development after the treatment. Depending on the phenological state of the crop and the active ingredient of the herbicide, these results are applicable to other areas with different climatic and environmental conditions.

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Section: Discussionmentioning

confidence: 99%

Remote Sensing Evaluation Drone Herbicide Application Effectiveness for Controlling Echinochloa spp. in Rice Crop in Valencia (Spain)

Bautista,

Tarrazó-Serrano,

Uris

et al. 2024

Sensors

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“…Agriculture 4.0 it's a mix between agriculture and technologies, this movement seeks to implement the analysis of characteristics established by experts in large quantities of crops, therefore, knowledge of various analysis techniques is required, for example image processing that allows capture information on established crop characteristics, which can be color, size, texture, shape, among others (De Martí, 2018).…”

Section: Agriculture 40: a New Agro-technological Fieldmentioning

confidence: 99%

Sistema de detección de plagas en los cultivos

López-Gorozabel,

Malla-Valdiviezo,

Morejón-López

et al. 2024

593DPCEIT

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La presente investigación propone la construcción de una aplicación web destinada a la detección de plagas, en su primera fase se ha propuesto la detección de la plaga de mosca blanca, una de las más recurrentes en los cultivos de Manabí, afectando principal-mente al cultivo de plantas como tomate, pimiento, col y cucurbitáceas como calabaza, pe-pino y hortalizas de hoja como lechuga o perejil. Este Proyecto busca convertirse en un agente de monitorización de cultivos, actuando de forma automática y eficaz en la detec-ción de plagas mediante el procesado de imágenes, para lo cual se desarrollaron diversos algoritmos soportados por la librería ImageAI, con los que fue posible crear, entrenar y pro-bar un modelo de detección. En cuanto al funcionamiento de la aplicación web, el usuario podrá crear una cuenta y una vez logueado podrá acceder al módulo de captura, donde po-drá tomar o subir una foto para su análisis respectivo. Esta investigación se basa en el método bibliográfico y analítico, además la infor-mación es de fuentes confiables, tales como: IEEE, Dialnet, ACM, Google Scholar, Repo-sitorios Institucionales. Para el desarrollo de la aplicación web se utilizó el lenguaje de pro-gramación Python para el Backend y tecnologías como HTML, W3Css y JavaScript para el Frontend. Posteriormente, se utilizó MySQL para crear la base de datos. El framework utilizado para el desarrollo de la aplicación fue Scrum, debido a la versa-tilidad de su metodología. Finalmente, como resultado de este proyecto, se obtiene la primera versión de un software funcional, con aspiraciones de mejora en futuras versiones.

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Agricultura De Precisión Y Protección De Cultivos

Cited by 2 publications

References 1 publication

Remote Sensing Evaluation Drone Herbicide Application Effectiveness for Controlling Echinochloa spp. in Rice Crop in Valencia (Spain)

Remote Sensing Evaluation Drone Herbicide Application Effectiveness for Controlling Echinochloa spp. in Rice Crop in Valencia (Spain)

Sistema de detección de plagas en los cultivos

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