Which are the sensors can be used in agriculture in IoT and use of sensors in the field of automation and control?
Dear Rk Naresh,
to answer your question, see my literature sources on the use of Artificial Intelligence in the form of Digital Twins (DTs) in Agriculture.
Für die Idee of Digital Twins siehe:
https://www.researchgate.net/publication/366167747_Digital_Twins_in_IoT
Good luck and best regards
Anatol Badach
Seng-Kyoun Jo, Dae-Heon Park, Hyeon Park, Se-Han Kim: “Smart Livestock Farms Using Digital Twin: Feasibility Study”; International Conference on Information and Communication Technology Convergence (ICTC); Oct 2018, DOI: 10.1109/ICTC.2018.8539516
https://ieeexplore.ieee.org/abstract/document/8539516
Christos Pylianidis, Sjoukje Osinga, Ioannis N. Athanasiadis: Introducing digital twins to agriculture; Computers and Electronics in Agriculture, Vol. 184, Mar 2021; DOI: 10.1016/j.compag.2020.105942
https://doi.org/10.1016/j.compag.2020.105942
Rafael Gomes Alves, Gilberto Souza, Rodrigo Filev Maia, Juan Manuel Davila.: A digital twin for smart farming; IEEE Global Humanitarian Technology Conference (GHTC), Oct 2019, DOI: 10.1109/GHTC46095.2019.9033075
https://www.researchgate.net/publication/337559578
Cor Verdouw, Bedir Tekinerdogan, Adrie J. M. Beulens, Sjaak Wolfert: Digital twins in smart farming; Agricultural Systems, Vol. 189(15), Apr 2021; DOI: 10.1016/j.agsy.2020.103046
https://www.researchgate.net/publication/348862772
Mandana Moshrefzadeh, Thomas Machl, David Gackstetter, et al.: Towards a Distributed Digital Twin of the Agricultural Landscape; Journal of Digital Landscape Architecture, 2020, Issue 5; DOI:10.14627/537690019
https://gispoint.de/fileadmin/user_upload/paper_gis_open/DLA_2020/537690019.pdf
Pelin Angin, Mohammad Hossein Anisi, Furkan Göksel, Ceren Gürsoy, Asaf Büyükgülcü: „AgriLoRa: A Digital Twin Framework for Smart Agriculture“; Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications; Vol. 11(4), Dec 2020, DOI:10.22667/JOWUA.2020.12.31.077
http://isyou.info/jowua/papers/jowua-v11n4-6.pdf
Suresh Neethirajan, Bas Kemp: Digital Twins in Livestock Farming; Animals, Vol. 11 Issue 4, Apr 2021, DOI: 10.3390/ani11041008
https://doi.org/10.3390/ani11041008
One can connect IoT-based agriculture sensors, such as temperature and moisture sensors in agriculture for environmental monitoring applications. The sensors can ensure fine dust, high-pressure spray, submersion in water, and extreme temperatures. The technology consists of a sensor or series of sensors that measure the level and moisture content in grains, such as corn. This information is then relayed back to an app on a tablet or computer where it can be viewed by the farmer for analysis. Electrochemical Sensors provide key information required in precision agriculture: pH and soil nutrient levels. Sensor electrodes work by detecting specific ions in the soil. Currently, sensors mounted to specially designed “sleds” help gather, process, and map soil chemical data. In addition to monitoring the plants that are harvested, temperature sensors observe the equipment that gathers these plants. Temperature sensors send out alerts whenever an equipment system requires minor maintenance, is underperforming, or is critically failing.Agriculture through precision agriculture implements IoT through the use of robots, drones, sensors, and computer imaging integrated with analytical tools for getting insights and monitoring the farms. Placement of physical equipment on farms monitors and records data, which is then used to get valuable insights. Sensors play a crucial role by detecting and measuring a variety of parameters such as temperature, pressure, humidity, flow rate, motion, and position. They convert physical signals into electric signals and provide information in real-time to the control system, thereby making production intelligent and automated.
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