Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning

MA Guillén, A Llanes, B Imbernón… - The Journal of …, 2021 - Springer
Abstract The Internet of Things (IoT) is driving the digital revolution. AlSome palliative
measures aremost all economic sectors are becoming “Smart” thanks to the analysis of data …

An IoT low-cost smart farming for enhancing irrigation efficiency of smallholders farmers

A Dahane, R Benameur, B Kechar - Wireless Personal Communications, 2022 - Springer
Nowadays, agriculture faces several challenges in ensuring food safety. Water scarcity is
one of the main challenges facing farmers in the rainfed agriculture sector, especially during …

Integrative use of IoT and deep learning for agricultural applications

D Garg, S Khan, M Alam - Proceedings of ICETIT 2019: Emerging Trends …, 2020 - Springer
Agriculture is the backbone of Indian economy. Most of the population of the country is
directly or indirectly dependent on agriculture. Technology can improve agricultural …

Forecasting air temperature on edge devices with embedded AI

G Codeluppi, L Davoli, G Ferrari - Sensors, 2021 - mdpi.com
With the advent of the Smart Agriculture, the joint utilization of Internet of Things (IoT) and
Machine Learning (ML) holds the promise to significantly improve agricultural production …

SAgric-IoT: An IoT-based platform and deep learning for greenhouse monitoring

J Contreras-Castillo, JA Guerrero-Ibañez… - Applied Sciences, 2023 - mdpi.com
The Internet of Things (IoT) and convolutional neural networks (CNN) integration is a
growing topic of interest for researchers as a technology that will contribute to transforming …

FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming

ÁL Perales Gómez, PE López-de-Teruel, A Ruiz… - Cluster …, 2022 - Springer
The race for automation has reached farms and agricultural fields. Many of these facilities
use the Internet of Things technologies to automate processes and increase productivity …

Application of green IoT in agriculture 4.0 and beyond: Requirements, challenges and research trends in the era of 5G, LPWANs and Internet of UAV Things

P Majumdar, D Bhattacharya, S Mitra… - Wireless Personal …, 2023 - Springer
Enabling technologies of Agriculture 4.0 such as IoT-driven Precision Agriculture (PA),
Unmanned Aerial Vehicles (UAVs), and big data analytics are collaborating for the …

Deep learning based IoT module for smart farming in different environmental conditions

R Manikandan, G Ranganathan, V Bindhu - Wireless Personal …, 2023 - Springer
Abstract Internet of Things (IoT) is an unavoidable technology evolution in the present era.
All most all the domains have accepted IoT in their applications. Recently, IoT is adopted in …

DeepThink IoT: the strength of deep learning in internet of things

D Thakur, JK Saini, S Srinivasan - Artificial Intelligence Review, 2023 - Springer
Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …

Frost prediction using machine learning and deep neural network models

CJ Talsma, KC Solander, MK Mudunuru… - Frontiers in Artificial …, 2023 - frontiersin.org
This study describes accurate, computationally efficient models that can be implemented for
practical use in predicting frost events for point-scale agricultural applications. Frost damage …