Agrodroyd: sistema de monitoreo para cuidado y riego de productos agrícolas en cultivos urbanos

Práctica SocialPara este trabajo de grado, se presenta una práctica social con la implementación de un dispositivo de monitoreo para cuidado y riego de productos agrícolas en cultivos urbanos implementado en el colegio Ofelia Uribe de Acosta.INTRODUCCIÓN 1. ANTECEDENTES 2. PLANTEAMIENTO DEL PROBLEMA 3. OBJETIVOS 4. JUSTIFICACIÓN 5. MARCO DE REFERENCIA 6. METODOLOGIA 7. PROCEDIMIENTO 8. CONCLUSIONES Y TRABAJOS FUTUROS BIBLIOGRAFÍA ANEXOSPregradoIngeniero Electrónic

Data Analysis Workflow For Experiments In Sugarcane Precision Agriculture

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Precision Agriculture (PA) comprises a set of tools to understand and manage inherent spatial variability within crop fields. PA relies on a variety of techniques to collect, analyze, process, and synthesize voluminous geo referenced data. However, prior to large-scale practice, PA requires a successful experimentation stage, which is the present stage of PA for the sugarcane system. This paper presents a data analysis workflow for PA experiments, including workflow application to a case study in a sugarcane area where an appreciable diversity of soil and plant attributes has been measured. Our data analysis workflow has basis on: i) removal of outliers, ii) representation of different data acquisition techniques on a common spatial grid, iii) estimation of typical 'noise' level in each measured attribute, iv) spatial autocorrelation analysis for each attribute, v) correlation analysis to identify related attributes, and vi) principal component analysis to reduce the dimensionality of the attribute space. By treating the diversity of measured attributes on a common ground, the proposed analysis workflow guides further experimentation as well as selection of data acquisition technologies suitable for large-scale sugarcane PA.1163168FAPESP 2011/028179; FAPESP; São Paulo Research FoundationFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Zamykal, D., Everingham, Y.L., (2009) Climate Change, Intercropping, Pest Control and Beneficial Microorganisms, pp. 189-218Bramley, R.G.V., Lessons from nearly 20 years of Precision Agriculture research, development, and adoption as a guide to its appropriate application (2009) Crop Pasture Sci, 60, p. 197Srinivasan, A., Precision Agriculture: An overview (2006) Handb. Precis. Agric., pp. 3-18Cortez, L.A., (2010) Sugarcane Bioethanol: R&D for Productivity and Sustainability, , First. 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Agric., 13, pp. 33-44De Souza, Z.M., Guilherme, D., Cerri, P., Hemrique, L., Rodrigues, A., Análise dos atributos do solo e da produtividade da cultura de cana-de-Açúcar com o uso da geoestatística e árvore de decisão (2010) Ciencia Rural, 40 (4), pp. 840-847Cerri, D.G.P., Magalhães, P.S.G., Correlation of physical and chemical attributes of soil with sugarcane yield (2012) Pesquisa Agropecuária Bras., 47, pp. 613-620Rodrigues, F.A., Magalhães, P.S.G., Franco, H.C.J., Beauclair, E.G.F., Cerri, D.G.P., Correlation between Chemical Soil Attributes and Sugarcane Quality Parameters According to Soil Texture Zones (2013) Soil. Sci., 178, pp. 147-156Johnson, R.M., Richard, E.P., (2005) Sugarcane Yield, Sugarcane Quality, and Soil Variability in Louisiana, pp. 760-771Rodrigues, F.A., Magalhães, P.S.G., Franco, H.C.J., Soil attributes and leaf nitrogen estimating sugar cane quality parameters: Brix, pol and fibre (2013) Precis. 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