Contribute to the Study of Vertical Distribution of Conventional No-Till Seeders and Spatial Variability of Seed Depth Placement of Maize in Alentejo, Portugal

Entre os vários fatores que contribuem para a produção de uma cultura de milho, a distribuição vertical dos semeadores avaliada através da localização da semente em profundidade é um fator-chave, especialmente na técnica de sementeira direta. Simultaneamente, dada a complexidade dos ecossistemas naturais e agrícolas em sistemas de agricultura de conservação, a gestão diferenciada e localizada das parcelas assume um importante papel na análise e gestão da variabilidade das propriedades do solo e estabelecimento das culturas, nomeadamente utilizando informação geo referenciada e tecnologia expedita. Assim, o principal objetivo desta Tese foi a avaliação em culturas de milho da variabilidade espacial da localização de semente em profundidade e estabelecimento da cultura em sementeira direta usando sistemas convencionais de controlo de profundidade, tendo-se comparado com diferentes sistemas de mobilização e recorrendo a tecnologias de agricultura de precisão. Os ensaios decorreram na região Mediterrânea do Alentejo, em propriedades agrícolas no decorrer das campanhas de 2010, 2011, 2012 e 2015 em 6 diferentes campos experimentais. O trabalho experimental consistiu em ensaios com avaliações in loco do solo e cultura, consumo de combustível das operações e deteção remota. Os resultados obtidos indicam que não só o sistema de mobilização afetou a localização da semente em profundidade, como em sementeira direta a profundidade de sementeira foi afetada pelo teor de humidade do solo, resistência do solo à profundidade e velocidade da operação de sementeira. Adicionalmente observaram-se condições heterogéneas de emergência e estabelecimento da cultura afetadas por condições físicas de compactação do solo. Comparando os diferentes sistemas de mobilização, obteve-se uma significativa redução de combustível para a técnica de sementeira direta, apesar de se terem observado diferenças estatísticas significativas considerando diferentes calibrações de profundidade de sementeira Do trabalho realizado nesta Tese ressalva-se a importância que as tecnologias de agricultura de precisão podem ter no acompanhamento e avaliação de culturas em sementeira direta, bem como a necessidade de melhores procedimentos no controlo de profundidade dos semeadores pelo respetivos operadores ou ao invés, a adoção de semeadores com mecanismos ativos de controlo de profundidade. ABSTRACT Among the various factors that contribute towards producing a successful maize crop, seeders vertical distribution evaluated through seed depth placement is a key determinant, especially under a no-tillage technique. At the same time in conservation agriculture systems due to the complexity of natural and agricultural ecosystems site specific management became an important approach to understand and manage the variability of soil properties and crop establishment, especially when using geo spatial information and affording readily technology Thus, the main objective of this Thesis was to evaluate the spatial variability of seed depth placement and crop establishment in maize crops under no-tillage conditions compared to different tillage systems, using conventional seed depth control no till seeders and precision farming technologies. Trials were carried out in the Mediterranean region of Alentejo, in private farms along the sowing operations season over the years 2010, 2011, 2012 and 2015 in 6 different experimental fields. Experimental work covered field tests with in loco soil and crop evaluations, fuel operation evaluations and aerial sensing. The results obtained indicate that not only tillage system affected seed depth placement but under no till conditions seed depth was affected by soil moisture content, soil resistance to penetration and seeders forward speed. In addition uneven crop seedling and establishment depended on seed depth placement and could be affected by physical problems of compaction layers. Significant reduction in fuel consumption was observed for no till operations although significant differences observed according to different setting calibrations of seed depth control. According to the results, precision agriculture is an important tool to evaluate crops under no till conditions and seed depth mechanisms should be more accurate by the operators or is determinant the adoption of new active depth control technology to improve seeders performance.

Documentación en Arqueología. Aplicaciones del Núcleo Español de Metadatos

RESUMEN Las aplicaciones de los Sistemas de Información Geográfica (SIG) a la Arqueología, u otra disciplina humanística no son una novedad. La evolución de los mismos hacia sistemas distribuidos e interoperables, y estructuras donde las políticas de uso, compartido y coordinado de los datos sí lo son, estando todos estos aspectos contemplados en la Infraestructura de Datos Espaciales. INSPIRE es el máximo exponente europeo en cuestiones de iniciativa y marco legal en estos aspectos. La metodología arqueológica recopila y genera gran cantidad de datos, y entre los atributos o características intrínsecas están la posición y el tiempo, aspectos que tradicionalmente explotan los SIG. Los datos se catalogan, organizan, mantienen, comparten y publican, y los potenciales consumidores comienzan a tenerlos disponibles. Toda esta información almacenada de forma tradicional en fichas y posteriormente en bases de datos relacionadas alfanuméricas pueden ser considerados «metadatos» en muchos casos por contener información útil para más usuarios en los procesos de descubrimiento, y explotación de los datos. Además estos datos también suelen ir acompañados de información sobre ellos mismos, que describe su especificaciones, calidad, etc. Cotidianamente usamos los metadatos: ficha bibliográfica del libro o especificaciones de un ordenador. Pudiéndose definir como: «información descriptiva sobre el contexto, calidad, condición y características de un recurso, dato u objeto que tiene la finalidad de facilitar su recuperación, identificación,evaluación, preservación y/o interoperabilidad». En España existe una iniciativa para estandarizar la descripción de los metadatos de los conjuntos de datos geoespaciales: Núcleo Español de Metadatos (NEM), los mismos contienen elementos para la descripción de las particularidades de los datos geográficos, que incluye todos los registros obligatorios de la Norma ISO19115 y del estudio de metadatos Dublin Core, tradicionalmente usado en contextos de Biblioteconomía. Conscientes de la necesidad de los metadatos, para optimizar la búsqueda y recuperación de los datos, se pretende formalizar la documentación de los datos arqueológicos a partir de la utilización del NEM, consiguiendo así la interoperabilidad de la información arqueológica. SUMMARY The application of Geographical Information Systems (GIS) to Archaeology and other social sciences is not new. Their evolution towards inter-operating, distributed systems, and structures in which policies for shared and coordinated data use are, and all these aspects are included in the Spatial Data Infrastructure (SDI). INSPIRE is the main European exponent in matters related to initiative and legal frame. Archaeological methodology gathers and creates a great amount of data, and position and time, aspects traditionally exploited by GIS, are among the attributes or intrinsic characteristics. Data are catalogued, organised, maintained, shared and published, and potential consumers begin to have them at their disposal. All this information, traditionally stored as cards and later in relational alphanumeric databases may be considered «metadata» in many cases, as they contain information that is useful for more users in the processes of discovery and exploitation of data. Moreover, this data are often accompanied by information about themselves, describing its especifications, quality, etc. We use metadata very often: in a book’s bibliographical card, or in the description of the characteristics of a computer. They may be defined as «descriptive information regarding the context, quality, condition and characteristics of a resource, data or object with the purpose of facilitating is recuperation, identification, evaluation, preservation and / interoperability.» There is an initiative in Spain to standardise the description of metadata in sets of geo-spatial data: the Núcleo Español de Metadatos (Spanish Metadata Nucleus), which contains elements for the description of the particular characteristics of geographical data, includes all the obligatory registers from the ISO Norm 19115 and from the metadata study Dublin Core, traditionally used in library management. Being aware of the need of metadata, to optimise the search and retrieval of data, the objective is to formalise the documentation of archaeological data from the Núcleo Español de Metadatos (Spanish Metadata Nucleus), thus obtaining the interoperability of the archaeological information.

Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors.

This study was motivated by the need to improve densification of Global Horizontal Irradiance (GHI) observations, increasing the number of surface weather stations that observe it, using sensors with a sub-hour periodicity and examining the methods of spatial GHI estimation (by interpolation) with that periodicity in other locations. The aim of the present research project is to analyze the goodness of 15-minute GHI spatial estimations for five methods in the territory of Spain (three geo-statistical interpolation methods, one deterministic method and the HelioSat2 method, which is based on satellite images). The research concludes that, when the work area has adequate station density, the best method for estimating GHI every 15 min is Regression Kriging interpolation using GHI estimated from satellite images as one of the input variables. On the contrary, when station density is low, the best method is estimating GHI directly from satellite images. A comparison between the GHI observed by volunteer stations and the estimation model applied concludes that 67% of the volunteer stations analyzed present values within the margin of error (average of +-2 standard deviations).