ARI REVIEW FOR 2016-2017

Mediterranean’s’ region conditions and can be applied after inferring the necessary field data of each crop. In this study, the Surface Energy Balance Algorithm for Land (SEBAL) was adopted, under the essential adaptations for local soil and meteorological conditions for estimating groundnuts water requirements. Landsat-5 TM and 7 ETM+ Landsat 8 OLI images were used to retrieve the needed spectral data. The SEBAL model is enhanced with empirical equations regarding crop canopy factors, in order to increase crop evapotranspiration accuracy. Yield prediction plays a vital role in calculating the WF. Having real values than taking reference (or averaged) values from FAO is an advantage that Earth Observation means can provide. This is very important in econometric or any other predicting models used for estimating WF because it reduces their accuracy when using average data. In this context, crop and soil parameters along with remotely sensed data can be used to develop models which can provide users with accurate yield estimations. Crop and soil parameters along with Normalised Difference Vegetation Index (NDVI) have been correlated to examine if crop yield can be predicted and define the actual time-window to predict the yield. Statistical and remote sensing techniques were then applied to derive and map a model that can predict the crop yield. The algorithm developed for this purpose, indicates that remote sensing observations can predict crop yields effectively and accurately. Using the statistical student’s T test, it has been found that the predicted values and real values of the crop yield do not have any statistically significant difference. ( G. Papadavid ) Adapting soil-adjusted vegetation index to ground conditions. Employing the modified SEBAL model NIR, near infrared: IR, infrared. Educational needs and perceptions of the sustainability of precision agriculture: survey evidence from Greece Precision agriculture (PA) constitutes a dynamic production method which is gaining attention in several parts of the world. Its environmental and economic sustainability has been examined in terms of its ability to reduce the adverse effects of agrochemical use—by regulating their application to the levels needed at the land parcel level—and of its contribution to higher incomes and profitability. At the social level, PA has been linked to collective action although little insight is available regarding the role of various actors and education. This study tackles PA through an assessment of the attitudes of farmers towards the elements of its sustainability and of their educational needs. The analysis of survey data of a sample of young farmers in Greece showed that the majority of respondents were not familiar with PA. Significant differences were found between the attitudes of 70 Rural Development