Internet of things driven multilinear regression technique for fertilizer recommendation for precision agriculture

Internet of things driven multilinear regression technique for fertilizer recommendation for precision agriculture

Abstract Food instability has been linked to infertility, health issues, accelerated aging, incorrect insulin regulation, and more. Innovative approaches increased food availability and quality. Agriculture environment monitoring systems need IoT and machine learning. IoT sensors provide all necessa...

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Bibliographic Details
Main Authors: Praveen Kumar Kollu, Manoj L. Bangare, P. Venkata Hari Prasad, Pushpa M. Bangare, Kantilal Pitambar Rane, José Luis Arias-Gonzáles, Sachin Lalar, Mohammad Shabaz
Format: Article
Language:English
Published: Springer 2023-09-01
Series:SN Applied Sciences
Subjects:
Precision agriculture
Internet of things
Sensors
Machine learning
Fertilizer quantity management
SFSS MLR
Online Access:https://doi.org/10.1007/s42452-023-05484-8

Internet

https://doi.org/10.1007/s42452-023-05484-8

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