Sense the ENVIROnment
Short Description
SEnviro is a project whose aim is to monitor the status of the current environment, providing a low-cost, open and autonomous solution. SEnviro includes different sensor solutions (air quality, temperature, barometer, magnetic, humidity, light, wind, rain, noise, GPS and others) with different connectivities (Wi-Fi, 3G, …) to perform environmental monitoring. SEnviro offers the possibility to add any type of sensor that our clients want to monitor the ambient.
Publications
Trilles-Oliver, Sergio; González-Pérez, Alberto; Huerta-Guijarro, Joaquín A Comprehensive IoT Node Proposal Using Open Hardware. A Smart Farming Use Case to Monitor Vineyards Journal Article In: Electronics, 7 (12), pp. 419, 2018, (IF: ). @article{Trilles-Oliver2018, title = {A Comprehensive IoT Node Proposal Using Open Hardware. A Smart Farming Use Case to Monitor Vineyards}, author = {Sergio Trilles-Oliver and Alberto González-Pérez and Joaquín Huerta-Guijarro}, doi = {10.3390/electronics7120419}, year = {2018}, date = {2018-03-28}, journal = {Electronics}, volume = {7}, number = {12}, pages = {419}, abstract = {The last decade has witnessed a significant reduction in prices and an increased performance of electronic components, coupled with the influence of the shift towards the generation of open resources, both in terms of knowledge (open access), programs (open-source software), and components (open hardware). This situation has produced different effects in today’s society, among which is the empowerment of citizens, called makers, who are themselves able to generate citizen science or build assembly developments. Situated in the context described above, the current study follows a Do-It-Yourself (DIY) approach. In this way, it attempts to define a conceptual design of an Internet of Things (IoT) node, which is reproducible at both physical and behavioral levels, to build IoT nodes which can cover any scenario. To test this conceptual design, this study proposes a sensorization node to monitor meteorological phenomena. The node is called SEnviro (node) and features different improvements such as: the possibility of remote updates using Over-the-Air (OTA) updates; autonomy, using 3G connectivity, a solar panel, and applied energy strategies to prolong its life; and replicability, because it is made up of open hardware and other elements such as 3D-printed pieces. The node is validated in the field of smart agriculture, with the aim of monitoring different meteorological phenomena, which will be used as input to disease detection models to detect possible diseases within vineyards.}, note = {IF: }, keywords = {}, pubstate = {published}, tppubtype = {article} } The last decade has witnessed a significant reduction in prices and an increased performance of electronic components, coupled with the influence of the shift towards the generation of open resources, both in terms of knowledge (open access), programs (open-source software), and components (open hardware). This situation has produced different effects in today’s society, among which is the empowerment of citizens, called makers, who are themselves able to generate citizen science or build assembly developments. Situated in the context described above, the current study follows a Do-It-Yourself (DIY) approach. In this way, it attempts to define a conceptual design of an Internet of Things (IoT) node, which is reproducible at both physical and behavioral levels, to build IoT nodes which can cover any scenario. To test this conceptual design, this study proposes a sensorization node to monitor meteorological phenomena. The node is called SEnviro (node) and features different improvements such as: the possibility of remote updates using Over-the-Air (OTA) updates; autonomy, using 3G connectivity, a solar panel, and applied energy strategies to prolong its life; and replicability, because it is made up of open hardware and other elements such as 3D-printed pieces. The node is validated in the field of smart agriculture, with the aim of monitoring different meteorological phenomena, which will be used as input to disease detection models to detect possible diseases within vineyards. |