A decision support system for aquaponics prediction based on the intelligent Internet of Things

Domain:

agriculture

Record type:

dataset

Creator:

Ani

Host:

220635323/2022/12

Aquaponics plant and water quality data were collected and recorded from Johannesburg, South Africa. The plant type used for this study was leafy lettuce and fish in the tank was Mozambique Tilapia.

Visit

figshare.com

Licenses

CC BY-NC-SA 4.0

SMART-CYPS: An Intelligent Internet of Things and Machine Learning Powered Crop Yield Prediction System for Food Security

Abstract The sub-Saharan Africa region continues to experience food insecurity, a conseque

Development of a Decision Support Tool Based on Artificial Intelligence to Estimate the Risk of Preeclampsia AI-Based Decision Support System for Early Prediction of Preeclampsia Risk

Preeclampsia is a serious pregnancy complication characterized by high blood pressure and organ dysf

Simplex Algorithm support system for Optimization of crop yield monitoring system using Internet of Things (IOT)

International audience The challenges facing the enhancing production of agricultural

Internet of Things (IoT) Based Automated Calamity Avoidance System for Railway Sectors

Tanzania is the regional gateway for a number of landlocked neighboring countries. Zambia, Burundi,

Model for Water Quality Monitoring Based on Internet of Things

In Lusaka, water pollution has been a problem for many decades, which has led to outbreaks of variou

Adams-Nafisah/ML-BASED-DECISION-SUPPORT-SYSTEM-FOR-MAIZE-YIELD-PREDICTION-IN-NIGERIA

This projects uses historical Nigerian climate and soil data to train different machine learning mo