MachIne learning for nutrient recovery in the smart city circular economy–A review
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …
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
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 …
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
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 …
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
Nutrient contents are important for plants. Lack of macronutrients causes plant damage.
Several macronutrient deficiencies exhibit similar visual characteristics that are difficult for …
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 …
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 …
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 …
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 …
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
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 …
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
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 …
of nutrient deficiencies in plants is essential to provide appropriate supplements of fertilizers …