The Design and Optimization of an Acoustic and Ambient Sensing AIoT Platform for Agricultural Applications

The Design and Optimization of an Acoustic and Ambient Sensing AIoT Platform for Agricultural Applications

The use of technology in agriculture has been gaining significant attention recently. By employing advanced tools and automation and leveraging the latest advancements in the Internet of Things (IoT) and artificial intelligence (AI), the agricultural sector is witnessing improvements in its crop yie...

Bibliografski detalji
Glavni autori:	Ahmed Alzuhair, Abdullah Alghaihab
Format:	Članak
Jezik:	English
Izdano:	MDPI AG 2023-07-01
Serija:	Sensors
Teme:	IoT machine learning TinyML artificial intelligence efficient sensor nodes low-power communication
Online pristup:	https://www.mdpi.com/1424-8220/23/14/6262

Slični predmeti

Trends and Challenges in AIoT/IIoT/IoT Implementation
od: Kun Mean Hou, i dr.
Izdano: (2023-05-01)

The Effects of Weight Quantization on Online Federated Learning for the IoT: A Case Study
od: Nil Llisterri Gimenez, i dr.
Izdano: (2024-01-01)

A leap into the future: Towards an augmented reality learning environment in ski-jumping
od: Lukas Schulthess, i dr.
Izdano: (2024-02-01)

DDD TinyML: A TinyML-Based Driver Drowsiness Detection Model Using Deep Learning
od: Norah N. Alajlan, i dr.
Izdano: (2023-06-01)

Intelligent IoT Platform for Agroecology: Testbed
od: Naila Bouchemal, i dr.
Izdano: (2024-12-01)

TinyML Algorithms for Big Data Management in Large-Scale IoT Systems
od: Aristeidis Karras, i dr.
Izdano: (2024-01-01)

Convolutional Neural Network-Based Low-Powered Wearable Smart Device for Gait Abnormality Detection
od: Sanjeev Shakya, i dr.
Izdano: (2023-03-01)

An Evolving Multivariate Time Series Compression Algorithm for IoT Applications
od: Hagi Costa, i dr.
Izdano: (2024-11-01)

Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks
od: Cormac D. Fay, i dr.
Izdano: (2023-12-01)

Evaluation of a Machine Learning Algorithm to Classify Ultrasonic Transducer Misalignment and Deployment Using TinyML
od: Des Brennan, i dr.
Izdano: (2024-01-01)

Calibrating Glucose Sensors at the Edge: A Stress Generation Model for Tiny ML Drift Compensation
od: Anna Sabatini, i dr.
Izdano: (2024-06-01)

AIoT in Agriculture: Safeguarding Crops from Pest and Disease Threats
od: Pedro Blanco-Carmona, i dr.
Izdano: (2023-12-01)

TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review
od: Nikolaos Schizas, i dr.
Izdano: (2022-12-01)

Secure Tiny Machine Learning on Edge Devices: A Lightweight Dual Attestation Mechanism for Machine Learning
od: Vlad-Eusebiu Baciu, i dr.
Izdano: (2025-02-01)

An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device
od: Ioannis Katsidimas, i dr.
Izdano: (2023-01-01)

Optimizing Convolutional Neural Networks for Image Classification on Resource-Constrained Microcontroller Units
od: Susanne Brockmann, i dr.
Izdano: (2024-07-01)

Lightweight and Energy-Efficient Deep Learning Accelerator for Real-Time Object Detection on Edge Devices
od: Kyungho Kim, i dr.
Izdano: (2023-01-01)

A Machine Learning-Oriented Survey on Tiny Machine Learning
od: Luigi Capogrosso, i dr.
Izdano: (2024-01-01)

Smart Buildings: Water Leakage Detection Using TinyML
od: Othmane Atanane, i dr.
Izdano: (2023-11-01)

CMOS-MEMS Gas Sensor Dubbed GMOS for SelectiveAnalysis of Gases with Tiny Edge Machine Learning
od: Adir Krayden, i dr.
Izdano: (2022-11-01)

A Joint Survey in Decentralized Federated Learning and TinyML: A Brief Introduction to Swarm Learning
od: Evangelia Fragkou, i dr.
Izdano: (2024-11-01)

Empowering Healthcare: TinyML for Precise Lung Disease Classification
od: Youssef Abadade, i dr.
Izdano: (2024-10-01)

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles
od: Miguel de Prado, i dr.
Izdano: (2021-02-01)

A TinyML Deep Learning Approach for Indoor Tracking of Assets
od: Diego Avellaneda, i dr.
Izdano: (2023-01-01)

TinyML for smart agriculture: Comparative analysis of TinyML platforms and practical deployment for maize leaf disease identification
od: Dennis Agyemanh Nana Gookyi, i dr.
Izdano: (2024-08-01)

TinyEP: TinyML-Enhanced Energy Profiling for Extreme Edge Devices
od: Kilian Muller, i dr.
Izdano: (2024-01-01)

Security Assessment of Agriculture IoT (AIoT) Applications
od: Erwin Kristen, i dr.
Izdano: (2021-06-01)

Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
od: Wamiq Raza, i dr.
Izdano: (2021-10-01)

Empowering Electrochemical Biosensors with AI: Overcoming Interference for Precise Dopamine Detection in Complex Samples
od: José Ilton de Oliveira Filho, i dr.
Izdano: (2023-10-01)

A Review on Resource-Constrained Embedded Vision Systems-Based Tiny Machine Learning for Robotic Applications
od: Miguel Beltrán-Escobar, i dr.
Izdano: (2024-10-01)

TinyML with Meta-Learning on Microcontrollers for Air Pollution Prediction
od: I Nyoman Kusuma Wardana, i dr.
Izdano: (2024-04-01)

TinyDecisionTreeClassifier: Embedded C++ library for training and applying decision trees on the edge
od: Aleksei Karavaev, i dr.
Izdano: (2024-09-01)

LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices
od: Ramon Sanchez-Iborra
Izdano: (2021-07-01)

An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments
od: Mattia Antonini, i dr.
Izdano: (2023-02-01)

A Survey of Industrial AIoT: Opportunities, Challenges, and Directions
od: Kamran Sattar Awaisi, i dr.
Izdano: (2024-01-01)

Architectures for Industrial AIoT Applications
od: Eneko Villar, i dr.
Izdano: (2024-07-01)

TDMiL: Tiny Distributed Machine Learning for Microcontroller-Based Interconnected Devices
od: Mayank Gulati, i dr.
Izdano: (2024-01-01)

Editorial: Artificial intelligence-of-things (AIoT) in precision agriculture
od: Yaqoob Majeed, i dr.
Izdano: (2024-01-01)

AIoT Monitoring Technology for Optimal Fill Dam Installation and Operation
od: Suk-Min Kong, i dr.
Izdano: (2024-01-01)

Embedding Tree-Based Intrusion Detection System in Smart Thermostats for Enhanced IoT Security
od: Abbas Javed, i dr.
Izdano: (2024-11-01)