The use of remote-sensing technology has been studied as a way to make the monitoring agricultural crops more efficient, dynamic, and reliable. data from Moderate Resolution Imaging Spectroradiometer (MODIS) proved be an interesting tool regarding mapping large areas, however, some challenges still need addressed. One these is identification specific types crops, especially when they have similar phenologies. purpose this study was perform discrimination soya bean corn in state Paraná,...

Pesquisas sobre a variabilidade espacial dos atributos do solo que influenciam produtividade são de uma grande importância para o desenvolvimento novas técnicas beneficiam agricultura. A desses pode ser avaliada por geoestatística e auxiliar no mapeamento manejo solo. Este trabalho teve objetivo avaliar qualidade ajuste modelos teóricos espaciais segundo Critério Informação Akaike, Filliben, Validação Cruzada valor máximo logaritmo da função verossimilhança, dados umidade solo, densidade...

O método das Equações de Estimação Generalizada proporciona ótimos resultados para estimativas em modelo regressão. No entanto, o desafio na aplicação deste está uma boa especificação matriz correlação trabalho. Particularmente, análise dados espaciais, a espacial. Nesta conjuntura, escolha espacial adequada é imprescindível, pois inadequada poderá gerar pouco confiáveis haja vista aumento do viés estimação. Diante disso, neste estudo foi proposto um novo seleção da trabalho, baseado no...

Objective: The aim of this study is to investigate the interaction between soybean yield and physical chemical attributes soil, with goal developing techniques used in precision agriculture increase productivity, reduce costs, minimize environmental impacts. Theoretical Framework: This work based on principles geostatistics, particularly Wave spatial dependence structure, which model semivariance function when it exhibits "hole effect." Method: research involves a conducted commercial area...

Objective: To estimate the Permanent Preservation Areas (PPAs) necessary to comply with Forest Code, according Law No. 12,727 of October 17, 2012. Theoretical Framework: Review water resource and native vegetation conservation policies, emphasizing integration geospatial data for environmental compliance sustainability. Method: Delimitation watersheds was adopted using QGIS, utilizing ALOS radar images analysis through MSI Sentinel-2 on Google Earth Engine platform. The procedures included...

This work aimed to analyze the density of agricultural production located in West Mesoregion Paraná-Brazil from 2018 2020 using maps generated by Kernel Density Estimator. The municipalities with largest are interest this research, since they provide raw materials for agro-industry and cooperatives. scenario under study explains participation that develop activities livestock context propel regional economy growth state Paraná-Brazil. municipality Assis Chateaubriand presented itself close...

Abstract Spatial linear models have been applied in numerous fields such as agriculture, geoscience and environmental sciences, among many others. dependence structure modelling, using a geostatistical approach, is an indispensable tool to estimate the parameters that define this structure. However, estimation may be greatly affected by presence of atypical observations sampled data. The purpose paper use diagnostic techniques assess sensitivity maximum-likelihood estimators, covariance...

Several equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation sampling. An interesting possibility is define management zones aim at dividing producing areas in smaller that could be treated differently, serving as a source recommendation analysis. Thus, this trial used physical chemical properties soil yield aiming generation order identify whether they can Management were generated by Fuzzy C-Means...

Technological advances in precision agriculture the last two decades have made yield monitoring and mapping an economically feasible option or practice for farmers. Differentially corrected Global Positioning System (GPS)-equipped system on a combine allows collection of georeferenced data which when coupled with geographic information (GIS) can generate maps via several interpolation techniques. Scientists practitioners reported to use multiple different types techniques process data....

This study aimed to map, separate, and estimate soya bean corn crop areas in Paraná State, Brazil, the harvest years 2012/13 2013/14, using enhanced vegetation index (EVI) images from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. Thus, two methodologies were integrated, first considering heterogeneity on dates of cycles, scenes required generate minimum maximum indexes, creating a colour composite red, green, blue (RGB), identifying cultures simultaneously. In second...

This paper describes the modelling and fitting of Gaussian Markov random field spatial components within a Generalized AdditiveModel for Location, Scale Shape (GAMLSS) model. allows any or all parameters distribution response variable using explanatory variables effects. The is allowed to be non-exponential family distribution. A new package developed in R achieve this presented. We use fields model effect Munich rent data explore some features characteristics data. potential analysis GAMLSS...

The strategic logistics of agricultural production and storage aggregates information related to storage. In this sense, time, location, distance from producer consumer markets are considered, emphasizing the importance grain logistics. Natural Neighbor multiquadric equation spatial interpolation methods used predict these variables value at non-sampled locations, for asymmetric categorical data, respectively. This study investigated prediction (tons) (soybean, first crop corn, second-crop...

Accurate and timely regional estimates of agricultural production are key for decision makers. This study aims to understand how different machine learning techniques impact soybean yield estimation in extracting maximum information from remotely sensed MODIS enhanced vegetation index (EVI) that is constrained by phenology. Specifically, a methodology developed incorporating phenological aligned with EVI acquisition each pixel selecting the most significant predictors out 36 using feature...

The objective of this work was to evaluate the influence sampling density (three grids) and type interpolation (kriging, inverse distance, square polynomial) in elaboration thematic maps soybean yield an area Dystroferric Red Nitosol under precision agriculture from 1998 2002. selected grids had 128, 64 32 units using stratified systematic aligned (SSAS). generated each grid interpolators. relative deviation coefficient (CDR) proposed express average difference module values interpolated...

Neste trabalho, foi avaliada a dinâmica da lixiviação de íons em colunas solo deformado e indeformado. O utilizado era proveniente área fertirrigada com água residuária suinocultura diluída 0%, 25%, 50%, 75% cultivada soja. Foram construídas curvas eluição para nitrato, potássio condutividade elétrica. De acordo os resultados obtidos nas deformado, proporcionalmente aos tratamentos, o nitrato apresentou maior mobilidade, seguido pela concentração sais totais do potássio. A metodologia...

This work aimed to study the spatial autocorrelation of total static capacity storage, number warehouses in 2013/2014 (CONAB) and average grain production (soybean, corn 1st 2nd crops wheat) harvest years 2008/2009 (SEAB) Paraná State, Brazil. The was based on Moran's global index, local bivariate correlation. It possible identify regions with low high production. There positive for Total Static Storage Capacity (TSSC) Quantity Warehouses (TQW). For production, significant were found....

Spatial variability description of soil chemical properties by thematic maps depends substantially on suitable geostatistical models. One the parameters composing a model is nugget effect. This study aimed to evaluate simultaneous influence effect and sampling design estimation at unsampled sites, considering simulated data. Our results will be used as scientific basis for spatial analyses in agricultural areas. Given simulation data, we concluded that high values obtained here reduced...