Test of a microlysimeter for measurement of soil evaporation

Quantifying soil evaporation is required on studies of soil water balance and applications aiming to improve water use efficiency by crops. The performance of a microlysimeter (ML) to measure soil evaporation under irrigation and non-irrigation was evaluated. The MLs were constructed using PVC tubes, with dimensions of 100 mm inner diameter, 150 mm depth and 2.5 mm wall thickness. Four MLs were uniformly distributed on the soil surface of two weighing lysimeters conducted under bare soil, previously installed at Iapar, in Londrina, PR, Brazil. The lysimeters had 1.4 m width, 1.9 m length and 1.3 m depth and were conducted with and without irrigation. Evaporation measurements by MLs (E ML) were compared with measurements by lysimeters (E L) during four different periods in the year. Differences between E ML and E L were small either for low or high atmospheric demand and also for either irrigated or non-irrigated conditions, which indicates that the ML tested here is suitable for measurement of soil evaporation.

Soil penetration resistance analysis by multivariate and geostatistical methods

The penetration resistance (PR) is a soil attribute that allows identifies areas with restrictions due to compaction, which results in mechanical impedance for root growth and reduced crop yield. The aim of this study was to characterize the PR of an agricultural soil by geostatistical and multivariate analysis. Sampling was done randomly in 90 points up to 0.60 m depth. It was determined spatial distribution models of PR, and defined areas with mechanical impedance for roots growth. The PR showed a random distribution to 0.55 and 0.60 m depth. PR in other depths analyzed showed spatial dependence, with adjustments to exponential and spherical models. The cluster analysis that considered sampling points allowed establishing areas with compaction problem identified in the maps by kriging interpolation. The analysis with main components identified three soil layers, where the middle layer showed the highest values of PR.

Produtividade da água de chuva em culturas de subsistência no Semiárido Pernambucano

Os diferentes sistemas de cultivo utilizados pelos agricultores do Semiárido brasileiro apresentam riscos de perdas devido às irregularidades das chuvas, sendo, portanto, necessário associá-los a práticas que propiciem maior disponibilidade de água no solo durante o ciclo de cultivo. Neste trabalho, objetivou-se avaliar a aplicação de quantidades mínimas de água e adubação orgânica na produtividade de feijãocaupi, cultivar BRS-Pujante e de milho, cultivar BRS-Caatingueiro. Os resultados indicam que as maiores produtividades de grãos foram obtidas com o tratamento que associou a irrigação de salvação com a adubação orgânica, sendo para o feijão-caupi de 1.422,5 kg ha-1, e para o milho, de 6.099,1 kg ha-1, seguido pelo tratamento que usou somente a adubação orgânica, para ambas as culturas. Porém, comparando-se o efeito da adubação orgânica aplicada de forma isolada sobre a testemunha, observa-se que ocorreram aumentos de 54,5% e de 237,3% nas produtividades de feijão e de milho, respectivamente, ressaltando a importância do uso da adubação orgânica nas culturas.

Estimativa de produtividade da cultura do feijão irrigado em Cristalina-GO, para diferentes lâminas de irrigação como função da uniformidade de aplicação

O estudo foi realizado por meio de simulações, inseridas em seis cenários de níveis de uniformidade de aplicação de água, nas condições de Cristalina-GO, com o objetivo de avaliar o efeito da aplicação de diferentes lâminas de irrigação na produtividade comercial da cultura do feijão (Phaseolus vulgaris L.) cv. Carioca. Para tanto, utilizou-se o sistema de irrigação por aspersão convencional, mediante dados de produtividade obtidos por intermédio da função de produtividade desenvolvida para as condições locais. Os resultados obtidos permitiram concluir que a maior produtividade de grãos (2.946,52 kg ha-1) foi obtida com o maior coeficiente de uniformidade de aplicação da água do sistema de irrigação por aspersão (90%), que resultou no menor valor de lâmina média coletada (418,16 mm) no ciclo da cultura. Ainda foi possível observar que o modelo e o método adotados se mostraram adequados para gerar cenários de produtividade do feijoeiro para as condições locais do presente estudo.

Contribuição da estrutura interna na perda de carga de filtros de areia utilizados na irrigação

A dinâmica de operação dos filtros de areia afeta o desempenho hidráulico do sistema de irrigação, elevando a perda de carga e alterando a altura manométrica total do sistema. Buscando entender parte dessa dinâmica, o objetivo deste trabalho foi determinar o efeito da estrutura interna de filtros de areia na perda de carga de três modelos de equipamentos fabricados no Brasil, sem a presença do elemento filtrante e utilizando água limpa. Adicionalmente, com o ajuste do modelo matemático exponencial aos dados experimentais, procurou-se estabelecer comparações entre os tipos de estrutura dos filtros avaliados. Os ensaios foram realizados em um módulo experimental construído no Laboratório de Hidráulica e Irrigação da FEAGRI/UNICAMP. Os resultados mostraram que a estrutura hidráulica interna dos filtros determinou comportamentos hidráulicos diferenciados e que os tipos de estruturas (placa difusora e drenos) alteraram o padrão de operação dos modelos ensaiados. A função matemática proposta representou, significativamente, o fenômeno físico de perda de carga para as condições do experimento.

Fuel consumption of a tractor in function of wear, of ballasting and tire inflation pressure

When using appropriate inflation pressures and load capacity (ballast), it may obtain a higher yield and prolongation of the life of the tire, besides it may minimize the problems of loss of traction, increased slippage and fuel consumption. This study aimed to evaluate the fuel consumption of a tractor operating with new and worn tires in three conditions of ballasting and three inflation pressures, when driving on compacted soil with vegetation cover. The experiment was conducted at the experimental unit from the Department of Animal Science, Federal University of Lavras, state of Minas Gerais, Brazil, in an agricultural soil compacted by cattle trampling and with vegetation cover. It was used a tractor 4x2 with front wheel assist, of a 65.62 kW engine power. The tires were of R1 type, diagonal (front: 12.4 to 24; and rear: 18.4 to 30), the average height of the clutches of the new tires were 0.3 and 0.35 m for front and rear tires, respectively, and for the worn tires were 0.018 and 0.0045 m, for the front and the rear tires, respectively. The results showed advantages for the tractor equipped with new tires.

Variabilidade espacial e temporal do fósforo, potássio e da produtividade de uma lavoura cafeeira

A agricultura de precisão surge como uma importante ferramenta para melhorar o gerenciamento da produção cafeeira, mostrando que o conhecimento de determinadas características do solo, associado à resposta de produtividade do cafeeiro, pode facilitar a aplicação localizada e racional dos insumos, com resultados ambientais e econômicos positivos. Desta forma, o presente trabalho objetivou utilizar ferramentas de agricultura de precisão aliadas a ferramentas da geoestatística para avaliar as variáveis fósforo, potássio e produtividade do cafeeiro, em três safras agrícolas, por meio de análises dos semivariogramas e de mapas de isolinhas interpolados por krigagem, e demonstrar que estas ferramentas são de grande valia para o manejo da cultura do café. Este trabalho foi conduzido na fazenda Brejão, no município de Três Pontas, Minas Gerais, nas safras de 2007/2008, 2008/2009 e 2009/2010, utilizando-se dos atributos químicos do solo, fósforo e potássio, amostrados com o auxílio de um quadriciclo com trado calador e dados de produtividade, que foram obtidos por meio de colheita manual, ambos em pontos georreferenciados. Foi possível caracterizar a magnitude da variabilidade espacial dos atributos em estudo, que apresentaram grande variação no tempo e no espaço. Os melhores ajustes dos semivariogramas permitiram a confecção de mapas mais precisos, contribuindo para a utilização da geoestatística na cafeicultura.

Auger-type granular fertylizer distributor: matemathical model and dynamic simulation

The objective of this study was to model mathematically and to simulate the dynamic behavior of an auger-type fertilizer applicator (AFA) in order to use the variable-rate application (VRA) and reduce the coefficient of variation (CV) of the application, proposing an angular speed controller θ' for the motor drive shaft. The input model was θ' and the response was the fertilizer mass flow, due to the construction, density of fertilizer, fill factor and the end position of the auger. The model was used to simulate a control system in open loop, with an electric drive for AFA using an armature voltage (V A) controller. By introducing a sinusoidal excitation signal in V A with amplitude and delay phase optimized and varying θ' during an operation cycle, it is obtained a reduction of 29.8% in the CV (constant V A) to 11.4%. The development of the mathematical model was a first step towards the introduction of electric drive systems and closed loop control for the implementation of AFA with low CV in VRA.

Modeling and simulation of forced-air cooling of strawberries using variable convective coefficient

In the forced-air cooling process of fruits occurs, besides the convective heat transfer, the mass transfer by evaporation. The energy need in the evaporation is taken from fruit that has its temperature lowered. In this study it has been proposed the use of empirical correlations for calculating the convective heat transfer coefficient as a function of surface temperature of the strawberry during the cooling process. The aim of this variation of the convective coefficient is to compensate the effect of evaporation in the heat transfer process. Linear and exponential correlations are tested, both with two adjustable parameters. The simulations are performed using experimental conditions reported in the literature for the cooling of strawberries. The results confirm the suitability of the proposed methodology.

Comparison measures of maps generated by geostatistical methods

This study uses several measures derived from the error matrix for comparing two thematic maps generated with the same sample set. The reference map was generated with all the sample elements and the map set as the model was generated without the two points detected as influential by the analysis of local influence diagnostics. The data analyzed refer to the wheat productivity in an agricultural area of 13.55 ha considering a sampling grid of 50 x 50 m comprising 50 georeferenced sample elements. The comparison measures derived from the error matrix indicated that despite some similarity on the maps, they are different. The difference between the estimated production by the reference map and the actual production was of 350 kilograms. The same difference calculated with the mode map was of 50 kilograms, indicating that the study of influential points is of fundamental importance to obtain a more reliable estimative and use of measures obtained from the error matrix is a good option to make comparisons between thematic maps.

Use of data mining and spectral profiles to differentiate condition after harvest of coffee plants

This study aimed at identifying different conditions of coffee plants after harvesting period, using data mining and spectral behavior profiles from Hyperion/EO1 sensor. The Hyperion image, with spatial resolution of 30 m, was acquired in August 28th, 2008, at the end of the coffee harvest season in the studied area. For pre-processing imaging, atmospheric and signal/noise effect corrections were carried out using Flaash and MNF (Minimum Noise Fraction Transform) algorithms, respectively. Spectral behavior profiles (38) of different coffee varieties were generated from 150 Hyperion bands. The spectral behavior profiles were analyzed by Expectation-Maximization (EM) algorithm considering 2; 3; 4 and 5 clusters. T-test with 5% of significance was used to verify the similarity among the wavelength cluster means. The results demonstrated that it is possible to separate five different clusters, which were comprised by different coffee crop conditions making possible to improve future intervention actions.

Rainfall erosivity for the State of Rio de Janeiro estimated by artificial neural network

The Artificial Neural Networks (ANNs) are mathematical models method capable of estimating non-linear response plans. The advantage of these models is to present different responses of the statistical models. Thus, the objective of this study was to develop and to test ANNs for estimating rainfall erosivity index (EI30) as a function of the geographical location for the state of Rio de Janeiro, Brazil and generating a thematic visualization map. The characteristics of latitude, longitude e altitude using ANNs were acceptable to estimating EI30 and allowing visualization of the space variability of EI30. Thus, ANN is a potential option for the estimate of climatic variables in substitution to the traditional methods of interpolation.

Efficiency of distinct data mining algorithms for classifying stress level in piglets from their vocalization

Among the challenges of pig farming in today's competitive market, there is factor of the product traceability that ensures, among many points, animal welfare. Vocalization is a valuable tool to identify situations of stress in pigs, and it can be used in welfare records for traceability. The objective of this work was to identify stress in piglets using vocalization, calling this stress on three levels: no stress, moderate stress, and acute stress. An experiment was conducted on a commercial farm in the municipality of Holambra, São Paulo State , where vocalizations of twenty piglets were recorded during the castration procedure, and separated into two groups: without anesthesia and local anesthesia with lidocaine base. For the recording of acoustic signals, a unidirectional microphone was connected to a digital recorder, in which signals were digitized at a frequency of 44,100 Hz. For evaluation of sound signals, Praat® software was used, and different data mining algorithms were applied using Weka® software. The selection of attributes improved model accuracy, and the best attribute selection was used by applying Wrapper method, while the best classification algorithms were the k-NN and Naive Bayes. According to the results, it was possible to classify the level of stress in pigs through their vocalization.

Spatial variability of noise level in agricultural machines

The knowledge of the spatial variability of noise levels and the build of kriging maps can help the evaluation of the salubrity of environments occupied by agricultural workers. Therefore, the objective of this research was to characterize the spatial variability of the noise level generated by four agricultural machines, using geostatistics, and to verify if the values are within the limits of human comfort. The evaluated machines were: harvester, chainsaw, brushcutter and tractor. The data were collected at the height of the operator's ear and at different distances. Through the results, it was possible to verify that the use of geostatistics, by kriging technique, made it possible to define areas with different levels for the data collected. With exception of the harvester, all of machines presented noise levels above than 85 dB (A) near to the operator, demanding the use of hearing protection.

Substrate with Organosuper® for cucumber seedlings formation in protected environments and polystyrene trays

Culture environments, trays and doses of organic compost were evaluated in the formation of cucumber seedlings (Cucumis sativus L.). Five environmental conditions were tested: (A1) a greenhouse with height of 2.5 m, covered with polyethylene film, (A2) nursery with height of 2.5 m, monofilament fabric, 50% shading, (A3) nursery with height of 2.5 m, heat-reflective screen, 50% shading, (A4) nursery with a height of 1.8 m, covered with coconut tree straw and (A5) greenhouse with height of 4.0 m, covered with polyethylene film, with zenith opening and thermo-reflective cloth under the plastic. Trays of 72 (R1) and 128 (R2) cells were filled with 93% soil and 7% organic compound (S1), 86% soil and 14% organic compound (S2) and 79% soil and 21% organic compound (S3). It was used a randomized design in split-split-plot scheme, with five replicates (environments x trays x substrates). The greenhouses provide the best environments for the formation of cucumber seedlings. A tray of 72 cells is the best container, promoting more vigorous seedlings in substrate with soil and 7 or 14% organic compound.