MachIne learning for nutrient recovery in the smart city circular economy–A review

A Soo, L Wang, C Wang, HK Shon - Process Safety and Environmental …, 2023 - Elsevier
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …

[HTML][HTML] Nutrient optimization for plant growth in Aquaponic irrigation using machine learning for small training datasets

SB Dhal, M Bagavathiannan, U Braga-Neto… - Artificial Intelligence in …, 2022 - Elsevier
With the recent trends in urban agriculture and climate change, there is an emerging need
for alternative plant culture techniques where dependence on soil can be eliminated …

An IoT-based data-driven real-time monitoring system for control of heavy metals to ensure optimal lettuce growth in hydroponic set-ups

SB Dhal, S Mahanta, J Gumero, N O'Sullivan… - Sensors, 2023 - mdpi.com
Heavy metal concentrations that must be maintained in aquaponic environments for plant
growth have been a source of concern for many decades, as they cannot be completely …

[PDF][PDF] Design of an intelligent hydroponics system to identify macronutrient deficiencies in chili

D Rahadiyan, S Hartati, AP Nugroho - International Journal of …, 2022 - researchgate.net
Nutrient contents are important for plants. Lack of macronutrients causes plant damage.
Several macronutrient deficiencies exhibit similar visual characteristics that are difficult for …

Segmentation of Leaves and Fruits of Tomato Plants by Color Dominance

JP Guerra Ibarra, FJ Cuevas de la Rosa… - AgriEngineering, 2023 - mdpi.com
The production of food generated by agriculture has been essential for civilizations
throughout time. Tillage of fields has been supported by great technological advances in …

Research on Surface Defect Detection of Rare‐Earth Magnetic Materials Based on Improved SSD

B Zhang, S Fang, Z Li - Complexity, 2021 - Wiley Online Library
In order to overcome the limitation of manual visual inspection of surface defects of rare‐
earth magnetic materials and increase production efficiency of traditional rare‐earth …

Computer Vision-Assisted Real-Time Bird Eye Chili Classification Using YOLO V5 Framework

KM Abubeker, S Akhil, VKA Kumar… - Journal of Artificial …, 2024 - ojs.istp-press.com
Computer vision (CV)-based classification systems have become increasingly popular in the
agricultural industry in recent years. This paper proposes a CV-assisted bird eye chili or …

[PDF][PDF] Computer Vision Based Machine Learning and Deep Learning Approaches for Identification of Nutrient Deficiency in Crops: A Survey.

M Sudhakar, RM Priya - Nature Environment & Pollution …, 2023 - neptjournal.com
Agriculture is a significant industry that plays a major role in a country's sustainable
environment and economic development. The global population demands increased food …

Object feature selection under high-dimension and few-shot data based on three-way decision

K Wan, J Wang, B Li, D Chen, L Tian - The Visual Computer, 2023 - Springer
A feature selection method based on three-way decision is proposed to solve the problem of
target recognition under high-dimension and few-shot data. The main research results of this …

Deep Neural Networks for Classifying Nutrient Deficiencies in Rice Plants Using Leaf Images

S Kolhar, J Jagtap, R Shastri - International Journal of …, 2024 - journal.uob.edu.bh
Nutrients are vital in ensuring expected crop growth and yield quality. Accurate identification
of nutrient deficiencies in plants is essential to provide appropriate supplements of fertilizers …