We investigate consumer preferences for domestically produced white wines compared to foreign wines in Australia. A discrete choice experiment was used to analyze young Australian consumers' ...preferences regarding white wine and a latent class model was estimated to take preference heterogeneity into account. We examine the relationship between consumers' ethnocentrism and preferences for wine from a specific origin. Highly ethnocentric Australian wine consumers are found to strongly prefer Australian wines and to a lesser extent wine from New Zealand compared to otherwise identical French wine, confirming a country-of-origin effect. Carefully considering the information to include on wine labels helps to stimulate consumer demand in certain market segments. Producers can use information regarding consumer preferences for specific wine characteristics to put an attractive and profitable product on the market. For instance, Australian wines might have a domestic advantage over similar foreign wines, if this 'country of origin' is brought to the consumers' attention. Hence, labeling wine as 'Made in Australia' is likely to increase the willingness to buy wines amongst a significant subgroup of Australian consumers aged 18-38. Adding other specific labels such as gold or silver medals to the bottle can also attract specific customer segments.
Knowledge of the soil water balance is fundamental for improving crop water use in agricultural fields. Estimates are normally for representative and homogeneous areas where the variability of soil ...properties is neglected. However, this variability significantly impacts soil water dynamics at the field scale. In this study, the MOHID-Land distributed process-based model was used to compute the spatially explicit soil water dynamics in a 22.6-ha almond field located in southern Portugal. An electromagnetic induction survey was first performed to obtain electromagnetic images of the real soil conductivity in depth, which were related to soil texture. Then, pedotransfer functions were used to convert soil texture into soil hydraulic data. MOHID-Land results included maps of the spatial distribution of soil water contents, actual crop transpiration, actual soil evaporation, percolation below the rootzone, and surface runoff. These allowed identifying preferential flow pathways as well as the main control factors influencing soil water dynamics at the field scale. Some development needs were identified, and overcoming them would enhance the significance of contributions such as this study to the field of precision agriculture.
•The spatial variability of the soil water balance was assessed in an almond field.•Soil properties were inferred from an electromagnetic induction (EMI) survey.•Distributed modeling identified crop growth areas and preferred flow paths at the field scale.•Limitations of the modeling approach were identified and discussed.•The development of approaches combining distributed modeling and EMI sensing is of interest to precision agriculture.
Many current precision agriculture applications involve on-the-go field measurements of soil and plant properties that require accurate georeferencing. Specific equipment configuration ...characteristics or data transmission, reception, or logging delays may cause a mismatch between the logged data and the GPS coordinates because of time and position lags that occur during data acquisition. We propose a simple coordinate translation along the measurement tracks to correct for such positional inaccuracies, based on the local travel speed and time lag, which is estimated by minimizing the average ln-transformed absolute difference with the nearest neighbors. The correction method is evaluated using electromagnetic induction soil-sensor data for different spatial measurement layouts and densities and by comparing variograms for raw and modified coordinates. Time lags of 1 s are shown to propagate into the spatial correlation structure up to lag distances of 10 m. The correction method performs best when repeated measurements in opposite driving directions are used and worst when measurements along parallel driving tracks are only repeated at the headland turns. In the latter case, the performance of the method is further improved by limiting the search neighborhood to adjacent measurement tracks. The proposed coordinate correction method is useful for improving the positional accuracy in a wide range of soil- and plant-sensing applications, without the need to grid the data first.
Agricultural management decision-making in salinization-prone environments requires efficient soil salinity monitoring methods. This is the case in the B-XII irrigation district in SW Spain, a heavy ...clay reclaimed marsh area where a shallow saline water table and intensively irrigated agriculture create a fragile balance between salt accumulation and leaching in the root zone, which might be disrupted by the introduction of new crops and increasing climate variability. We evaluated the potential of electromagnetic induction (EMI) tomography for field-scale soil salinity assessment in this hyper-conductive environment, using EMI and limited analytical soil data measured in 2017 and 2020 under a processing tomato–cotton–sugar beet crop rotation. Salinity effects on crop development were assessed by comparing Sentinel 2 NDVI imagery with inverted depth-specific electrical conductivity (EC). Average apparent electrical conductivity (ECa) for the 1-m depth signal was 20% smaller in 2020 than in 2017, although the spatial ECa pattern was similar for both years. Inverted depth-specific EC showed a strong correlation (R ≈ 0.90) with saturated paste extract EC (ECe), Na+ and sodium absorption ratio (SAR), resulting in linear calibration equations with R2 ≈ 0.8 for both years and leave-one-out cross validation Nash–Sutcliffe Efficiency Coefficient, ranging from 0.57 to 0.74. Overall, the chemical parameter estimation improved with depth and soil wetness (2017), yielding 0.83 < R <0.98 at 0.9 m. The observed spatial EC distributions showed a steadily increasing inverse correlation with NDVI during the growing season, particularly for processing tomato and cotton, reaching R values of −0.71 and −0.85, respectively. These results confirm the potential of EMI tomography for mapping and monitoring soil salinity in the B-XII irrigation district, while it allows, in combination with NDVI imagery, a detailed spatial assessment of soil salinity impacts on crop development throughout the growing season. Contrary to the popular belief among farmers in the area, and despite non-saline topsoil conditions, spatial EC and subsoil salinity patterns were found to affect crop development negatively in the studied field.
The agricultural use of saline table olive processing wastewater enables the implementation of closed water cycles in this socioeconomically important industry for rural southern Spain and relieves ...environmental, economic, and legal burdens. To allow growers to evaluate and guarantee adequate long-term soil and plant conditions when irrigating with such regenerated wastewaters, efficient soil monitoring strategies are needed. Field-scale monitoring with electromagnetic induction sensing, after one (2013) and five years (2017) of irrigation with regenerated wastewater with average electrical conductivity (EC) near 6 dS m−1 in an olive orchard in southern Spain, showed accumulation of highly conductive material in the subsoil in relation to local topography and soil characteristics. Laboratory analysis of the soil water revealed strongly varying patterns of EC during the growing season and across the olive grove, which were attributed to dilution and concentration effects due to rainfall and evaporation, respectively. Visual inspection and leaf analyses revealed no negative effects on the olive trees. Apparent electrical conductivity (ECa), measured in between the tree rows in 2013, showed a linear relationship with surface soil EC1:5 under the drippers and allowed identification of areas with high ECa in the low elevation zones of the farm, due to the presence of shallow perched saline water tables. A second ECa measurement in 2017 showed similar spatial ECa patterns and was used to estimate the distribution of soil EC across the soil profile using inversion software, although no unique field-wide relationships with soil properties could be inferred, possibly as a consequence of spatially variable soil clay and water contents, due to the influence of the topography. Despite the implementation of a more conservative irrigation strategy since 2015, results showed that the salinity has increased since 2013 in about 15% of the study area, with the largest increments in the deepest horizons.
Resumen Se propone una metodología para estimar la salinidad del suelo y su relación con el NDVI a escala de parcela. Se midió la conductividad eléctrica aparente del suelo (CEa) con un sensor de ...inducción electromagnética (IEM) en una parcela del sector B-XII, Lebrija (Sevilla) y se obtuvieron imágenes bi- y tridimensionales de la conductividad eléctrica (CE) mediante inversión. La CE mostró buenas relaciones con los indicadores de salinidad del suelo (R2>70%), lo que permitió la estimación de dichos indicadores a partir de las imágenes de CE. Se evalúa la metodología y los resultados que arroja usando series históricas de 7 años de imágenes de NDVI y realizando de esta forma un seguimiento del efecto de la salinidad del suelo sobre el desarrollo de los cultivos. La identificación de zonas de salinización puntual con efectos negativos sobre el desarrollo de los cultivos permite apoyar la toma de decisiones en cuanto al manejo de suelo, agua y cultivo.
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