A Review of IoT and Machine Learning for Environmental Optimization in Aeroponics

A Review of IoT and Machine Learning for Environmental Optimization in Aeroponics

Traditional farming practices are becoming increasingly inadequate to meet global food demand due to water scarcity, prolonged production cycles, climate variability, and declining arable land. In contrast, aeroponic, smart, soil-free farming technologies offer a more sustainable alternative by redu...

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Bibliographic Details
Main Authors: Muhammad Amjad, Elanchezhian Arulmozhi, Yeong-Hyeon Shin, Moon-Kyung Kang, Woo-Jae Cho
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agronomy
Subjects:
aeroponics
internet of things
photosynthesis
artificial intelligence
machine learning
environmental monitoring
Online Access:https://www.mdpi.com/2073-4395/15/7/1627
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