TY - JOUR
T1 - Democratizing Data-Driven Agriculture Using Affordable Hardware
AU - Chandra, Ranveer
AU - Swaminathan, Manohar
AU - Chakraborty, Tusher
AU - Ding, Jian
AU - Kapetanovic, Zerina
AU - Kumar, Peeyush
AU - Vasisht, Deepak
N1 - Publisher Copyright:
© 1981-2012 IEEE.
PY - 2022
Y1 - 2022
N2 - The world needs to sustainably grow more food to feed the growing population of the planet. Data-driven agriculture is a promising technique that can help farmers be more productive, reduce costs, and enable adoption of sustainable agricultural practices. However, the adoption of data-driven agriculture is limited by a lack of affordable technologies, for broadband, sensing, imaging, and insights. In this article, we present an overview of Project FarmBeats, a research project that started in 2014 to increase the adoption of data-driven agricultural practices. We provide an overview of the various components of the FarmBeats architecture, and details of the hardware innovations.
AB - The world needs to sustainably grow more food to feed the growing population of the planet. Data-driven agriculture is a promising technique that can help farmers be more productive, reduce costs, and enable adoption of sustainable agricultural practices. However, the adoption of data-driven agriculture is limited by a lack of affordable technologies, for broadband, sensing, imaging, and insights. In this article, we present an overview of Project FarmBeats, a research project that started in 2014 to increase the adoption of data-driven agricultural practices. We provide an overview of the various components of the FarmBeats architecture, and details of the hardware innovations.
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U2 - 10.1109/MM.2021.3134743
DO - 10.1109/MM.2021.3134743
M3 - Review article
AN - SCOPUS:85124630079
SN - 0272-1732
VL - 42
SP - 69
EP - 77
JO - IEEE Micro
JF - IEEE Micro
IS - 1
ER -