Automatic Weather Stations (AWS) are extensively used for gathering meteorological and climatic data. The World Meteorological Organization (WMO) provides publications with guidelines for the implementation, installation, and usages of these stations. Nowadays, in the new era of the Internet of Things, there is an ever-increasing necessity for the implementation of automatic observing systems that will provide scientists with the real-time data needed to design and apply proper environmental policy. In this paper, an extended review is performed regarding the technologies currently used for the implementation of Automatic Weather Stations. Furthermore, we also present the usage of new emerging technologies such as the Internet of Things, Edge Computing, Deep Learning, LPWAN, etc. in the implementation of future AWS-based observation systems. Finally, we present a case study and results from a testbed AWS (project AgroComp) developed by our research team. The results include test measurements from low-cost sensors installed on the unit and predictions provided by Deep Learning algorithms running locally.

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There is very limited information concerning livestock (sheep and goats) and brown hare Lepus europaeus interaction when both coexist. The effect of the intensity of livestock grazing on seasonal habitat use by hares, in a typical Mediterranean rangeland, was evaluated using the pellet-count method. Lightly grazed pastures were less preferred by hares compared with moderately grazed ones, whereas ungrazed pastures were used less intensively than grazed ones. Because livestock grazing reduces the quantity of standing biomass proportionally to its grazing intensity, forage resource was not the driving force for pasture selection. The increased use of moderately grazed pastures by hares in relation to lightly and ungrazed ones, where vegetation was more abundant, could be attributed to their reduced herbage height and density. This behaviour is probably a tactic that hares follow for predator avoidance, because they are more likely to detect visually approaching predators when feeding in a biotope with a limited herbaceous layer. The conclusion of this research is that livestock and brown hare coexistence may be compatible and beneficial rather than competitive when stocking rates do not exceed grazing capacity, leading to the conclusion that proper livestock grazing and hare population management can be feasible in practice.

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Seasonal diets of goats, sheep and European hares (Lepus europaeus) were examined using microhistological analysis of feces collected when these herbivores grazed together in a typical Mediterranean shrubland. Approximately half of the total diet content of goats was shrubs (mainly kermes oak, Quercus coccifera), while that of hares was grasses (mostly brush grass, Chrysopogon gryllus). Sheep had a more balanced diet consisting mainly of grasses, forbs, and shrubs. Dietary overlap between goats and sheep was high throughout the year. In contrast, there was very low dietary overlap between small ruminants and hares. Dietary diversity was high in spring and low in winter across all species, with sheep in general displaying higher dietary diversity across all seasons than goats and hares. Goats had intermediate and hares had low dietary diversity across all seasons. Communal grazing by small ruminants and hares ensures that there is a more uniform use of the available forage resources than if a single herbivore is left to graze an area.