IoT Technologies for Precision Agriculture: A Survey

IoT Technologies for Precision Agriculture: A Survey

Precision agriculture is gaining popularity in both commercial and research and development applications recent days. Plant management systems are constantly evolving, taking into account real-time or offline data collecting and processing in order to fully account for the geographical and temporal...

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Bibliographic Details
Published in:2022 6th International Conference on Computing Methodologies and Communication (ICCMC) pp. 372 - 376
Main Authors: Pyingkodi, M., Thenmozhi, K., Karthikeyan, M., Nanthini, K., N. R, Wilfried Blessing, Ajay Martin, A., Deepak, P.V., Jegan, K.
Format: Conference Proceeding
Language:English
Published: IEEE 29-03-2022
Subjects:
Agriculture Sensors
Infrared image sensors
IoT Sensors
Precision Agriculture
Production
Remote Sensing
Remote Sensor
Sensors
Smart farming
Sociology
Soil
Thermal sensors
Vegetation mapping
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Summary:Precision agriculture is gaining popularity in both commercial and research and development applications recent days. Plant management systems are constantly evolving, taking into account real-time or offline data collecting and processing in order to fully account for the geographical and temporal fluctuations of plant and soil components. This step can be achieved by lowering energy use, reducing the use of chemicals, fertilizers, and greenhouse gases (GHG), while simultaneously increasing output. To address the food and fibre needs of a rapidly rising population, sustainability is critical. With this in mind, the goal of this study is to not only present a complete picture, but also to elucidate the context by highlighting major scientific research and applications related to optoelectronics proximate sensors. Is to attempt to create a 360-degree vision. Agriculture. The reviews are divided into categories based on the most common sensor types and applications (grayscale / RGB imaging, Visible Near Infrared (VisNIR) and NIR, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Vegetation Index (NDRE) sensors, stereo). That's precisely the Point that the Vision, thermography, composite sensors, phenotypic sensors, and other technologies are being developed. Two distinct chapters on the use and development of specialised analytical methodologies, as well as term map analysis to visually identify major clusters based on certain subject areas are studied.
DOI:10.1109/ICCMC53470.2022.9753823