2017 9th International Conference on Knowledge and Smart Technology (KST) 2017
DOI: 10.1109/kst.2017.7886085
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Low cost weather station for climate-smart agriculture

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Cited by 59 publications
(28 citation statements)
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“…Consequently, resources and trained personnel to set up and maintain a sufficient number of stations are lacking to adequately cover the spatiotemporal variability of meteorological variables [ 4 , 5 ]. Additionally, growing interest in microclimate monitoring for precision agriculture [ 6 , 7 , 8 ] or urban climate and heat island studies [ 9 , 10 ] requires weather stations that are inexpensive, efficient, and provide local and reliable data for modelling applications. Ideally, the design of such weather stations meets the following criteria: (i) robustness to reduce calibration frequency; (ii) compact design for ease of handling and to minimize sensor damage; (iii) low maintenance; (iv) low power requirements; (v) low cost; (vi) compatibility with different logger systems; (vii) wireless communication.…”
Section: Introductionmentioning
confidence: 99%
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“…Consequently, resources and trained personnel to set up and maintain a sufficient number of stations are lacking to adequately cover the spatiotemporal variability of meteorological variables [ 4 , 5 ]. Additionally, growing interest in microclimate monitoring for precision agriculture [ 6 , 7 , 8 ] or urban climate and heat island studies [ 9 , 10 ] requires weather stations that are inexpensive, efficient, and provide local and reliable data for modelling applications. Ideally, the design of such weather stations meets the following criteria: (i) robustness to reduce calibration frequency; (ii) compact design for ease of handling and to minimize sensor damage; (iii) low maintenance; (iv) low power requirements; (v) low cost; (vi) compatibility with different logger systems; (vii) wireless communication.…”
Section: Introductionmentioning
confidence: 99%
“…With the increasing use of wireless sensor networks [ 11 ], various non-standard low-cost weather monitoring systems have been developed in the past few years using a wide range of sensor hardware and different microcontroller architectures, such as Arduino [ 12 , 13 , 14 ] or Raspberry Pi [ 7 , 15 , 16 ]. These stations can be very cost effective, with prices of several hundred Euros [ 3 ], but they often lack adequate calibration and testing, raising concerns about the accuracy, precision, and reliability of the collected data [ 17 ].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, some of the other barriers include unqualified human capital resulting from low level of education and training, agricultural research, related data, and problematic physical capital as well (FAO, 2018). Nevertheless, the climate has a big impact on agricultural activities and the ignorance of weather conditions may result in many difficulties related to farms (Tenzin et al, 2017). There is also a gap between supply and demand in a long and short-term period of time.…”
Section: Introductionmentioning
confidence: 99%
“…In a research carried out by Tenzin et al [ 83 ], to ensure effective weather monitoring around a farm, the authors designed a very cheap cloud-based weather measurement unit, using an integration of different unique weather sensors. The system, which is made up of a base and a weather station, as well as a display unit, is capable of effectively gathering humidity, temperature, wind direction, wind speed, and many other weather data types.…”
Section: Moving Towards Climate-smart Agriculturementioning
confidence: 99%
“…The system, which is made up of a base and a weather station, as well as a display unit, is capable of effectively gathering humidity, temperature, wind direction, wind speed, and many other weather data types. By experimenting its usage and statistically analyzing gathered data, it was observed that the unit provided similar results as the Davis Vantage Pro2 weather monitor, which was pre-installed on the same farm, thus, offering a cheaper option [ 83 ].…”
Section: Moving Towards Climate-smart Agriculturementioning
confidence: 99%