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Securing China's rice harvest: Unveiling dominant factors in production using multi-source data and hybrid machine learning models
Ensuring the security of China's rice harvest is imperative for sustainable food production.
The existing study addresses a critical need by employing a comprehensive approach that …
The existing study addresses a critical need by employing a comprehensive approach that …
Quantitative prediction of soil chromium content using laboratory-based visible and near-infrared spectroscopy with different ensemble learning models
C Fu, Y Jiang, A Tian - Advances in Space Research, 2024 - Elsevier
Soil heavy metal chromium pollution poses significant threats to human health and
ecosystems, necessitating accurate quantitative prediction methods for effective monitoring …
ecosystems, necessitating accurate quantitative prediction methods for effective monitoring …
Decision-tree-based ion-specific dosing algorithm for enhancing closed hydroponic efficiency and reducing carbon emissions
The maintenance of ion balance in closed hydroponic solutions is essential to improve the
crop quality and recycling efficiency of nutrient solutions. However, the absence of robust ion …
crop quality and recycling efficiency of nutrient solutions. However, the absence of robust ion …
Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier
The healthcare system's increasing adoption of analytics and advanced computers
demonstrates a growing tendency to develop a strong prognostication mechanism based on …
demonstrates a growing tendency to develop a strong prognostication mechanism based on …
Smart control models used for nutrient management in hydroponic crops: a systematic review
In recent years, agriculture has significantly evolved with the integration of technology,
enabling the development of new cultivation techniques that respond to the growing …
enabling the development of new cultivation techniques that respond to the growing …
[HTML][HTML] Assessing the Capabilities of UV-NIR Spectroscopy for Predicting Macronutrients in Hydroponic Solutions with Single-Task and Multi-Task Learning
Macronutrients, including nitrogen (N), phosphorus (P), potassium (K), calcium (Ca),
magnesium (Mg), and sulfur (S), are the most basic nutrient elements in the solution for the …
magnesium (Mg), and sulfur (S), are the most basic nutrient elements in the solution for the …
Machine Learning for Detecting Fertilizer Solution Information Based on Dielectric Frequency Response
J Li, Y Cheng, Y Ma, Y Li, J Wu… - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Rapid detection of fertilizer solutions is essential for improving water-fertilizer integration
systems. However, existing detection methods are hindered by high costs, complexity, and …
systems. However, existing detection methods are hindered by high costs, complexity, and …
Digital Image Object Detection with GLCM Multi-Degrees and Ensemble Learning
Object detection in digital images has been implemented in various fields. Object detection
faces challenges, one of which is rotation problems, causing objects to become unknown …
faces challenges, one of which is rotation problems, causing objects to become unknown …
Crushing Force Prediction Method of Controlled-Release Fertilizer Based on Particle Phenotype.
This study proposed a method to predict the crushing force of controlled-release fertilizer
granules based on their phenotypic characteristics to prevent coating damage during …
granules based on their phenotypic characteristics to prevent coating damage during …
Growth Pattern Prediction Using Machine Learning in Hydroponics Nft Systems
The aim of this study was to develop a machine learning model that can predict the growth
patterns of lettuce crops using hydroponics in the NFT system. To determine the most …
patterns of lettuce crops using hydroponics in the NFT system. To determine the most …