Machine Learning‐Enhanced Triboelectric Sensing Application

R Shang, H Chen, X Cai, X Shi, Y Yang… - Advanced Materials …, 2024 - Wiley Online Library
Triboelectric nanogenerator (TENG) has become a promising candidate for wearable
energy harvesting and self‐powered sensing systems. However, processing large amounts …

Enabling scalable smart vertical farming with iot and machine learning technologies

C Hegedűs, A Frankó, P Varga, S Gindl… - NOMS 2023-2023 …, 2023 - ieeexplore.ieee.org
Current state of the art in vertical farming faces numerous challenges around optimisation
and efficiency. This new domain of agriculture is targeting high level of automated and …

Smart agriculture: IoT-based greenhouse monitoring system

A Simo, S Dzitac, GE Badea, D Meianu - International Journal of …, 2022 - univagora.ro
The term" smart agriculture" refers to a management concept that is centered on industrial
agriculture. It makes use of cutting-edge technologies such as big data, cloud, and the …

[HTML][HTML] Application of Fuzzy logic and IoT in a small-scale Smart Greenhouse System

V Thomopoulos, F Tolis, TF Blounas… - Smart Agricultural …, 2024 - Elsevier
This research aims to address the critical challenges caused by global population increase,
climate change, and urbanization on food production by means of a Fuzzy Logic controller in …

Modern Floating Greenhouses: Planting Gray Oyster Mushrooms with Advanced Management Technology Including Mobile Phone Algorithms and Arduino Remote …

G Samseemoung, P Ampha, N Witthayawiroj… - AgriEngineering, 2024 - mdpi.com
A floating greenhouse for growing oyster mushrooms can be operated remotely via a mobile
phone. This innovative system can enhance mushroom production and quality while saving …

Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality Forecasting

H Hamdaoui, Y Hsana, I Hamdi… - Basrah Journal of …, 2024 - bajas.edu.iq
Climate change poses significant challenges to the agricultural sector, exacerbating water
scarcity and intensifying the irrational utilization of water reserves. In response to these …

[PDF][PDF] Adaptive Deep Learning Model to Enhance Smart Greenhouse Agriculture

MA Tawfeek, N Yanes, L Jamel… - CMC-COMPUTERS …, 2023 - cdn.techscience.cn
The trend towards smart greenhouses stems from various factors, including a lack of
agricultural land area owing to population concentration and housing construction on …

IoT Based Greenhouse Condition Monitoring System for Chili Plant Growth

MSM Pandi, R Seman, AHM Saod… - … in Applied Sciences …, 2024 - semarakilmu.com.my
Over the last few years, most of greenhouses have been managed traditionally based on
manpower to monitor and maintain the plants, such as watering, fertilizing, and using their …

Teori dan Penerapan Backpropagation Neural Networks untuk Internet of Things: Online dan Batch Mode

A Dzulkarnain, MNP Ma'ady - SISFO, 2024 - elib.its.ac.id
Riset kecerdasan artifisial kini kian berkembang pesat dan telah banyak berhasil
diimplementasikan di berbagai sektor seperti kesehatan, pendidikan, keuangan, keamanan …

Greenhouse Towards Near Zero Energy Consumption: Challenges, Opportunities, and Future Directions

A Soussi, E Zero, A Ouammi, D Zejli, S Zahmoun… - 2023 - preprints.org
The global agricultural sector is increasingly pressured to adopt sustainable practices and
reduce its environmental impact. In this context, greenhouses play a crucial role in enabling …