FarmBeats: An IoT Platform for Data-Driven Agriculture

By Deepak Vasisht, Zerina Kapetanovic, Jongho Won, Xinxin Jin, Ranveer Chandra, Sudipta N. Sinha, Ashish Kapoor, M. Sudarshan, S. Stratman. Symposium on Networked Systems Design and Implementation, 2017

441 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4196cfaf354cd0cabab206bb932c135a173bf1b9

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Computation Offloading Toward Edge Computing (2019, background): “Furthermore, Farmbeats [174] is a data-driven IoT platform for smart agriculture.”
Industrial Internet of Things: Challenges, Opportunities, and Directions (2018, background): “Companies like Microsoft (FarmBeats project [53], [54]), Climate Corp [55], AT&T [56], and Monsanto [57] are promoting agricultural IoT.”
Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies (2021, background): “Its application in agriculture include, but are not limited to, fertilizer management [62], hyper-spectral imaging [63], yield prediction and crop monitoring [64], weed detection [65], and data collection from various sensor types [66].”
UAV assistance paradigm: State-of-the-art in applications and challenges (2020, methodology): “This system uses inundation monitoring and alarm technology by incorporating smartphone data with sensors for improved situational awareness.”
Security and Privacy in Smart Farming: Challenges and Opportunities (2020, methodology): “The farm was equipped with a physical layer including sensors, drones and IoT-enabled farm equipment for a public-private program called Farmbeats [5].”
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, methodology): “[419] presented FarmBeats, an endto-end IoT platform for data-driven agriculture which uses Microsoft Azure IoT Suite for cloud services and passing data summaries to storage.”
Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review (2017, background): “[174]/2017 Soil moisture, soil pH, and camera WiFi and drone FarmBeats (based Ethernet or WiFi) and cloud computing Web interface (data access, cross-farm analytics, and long term applications)”