A comprehensive review on deep learning assisted computer vision techniques for smart greenhouse agriculture
With the escalating global challenges of food security and resource sustainability, innovative
solutions like deep learning and computer vision are transforming agricultural practices by …
solutions like deep learning and computer vision are transforming agricultural practices by …
Applications, technologies, and evaluation methods in smart aquaponics: a systematic literature review
M Anila, O Daramola - Artificial Intelligence Review, 2024 - Springer
Smart aquaponics systems are gaining popularity as they contribute immensely to
sustainable food production. These systems enhance traditional farming with advanced …
sustainable food production. These systems enhance traditional farming with advanced …
Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans
Recent advancements in sustainable agriculture have spurred interest in hydroponics as an
alternative to conventional farming methods. However, the lack of data-driven approaches in …
alternative to conventional farming methods. However, the lack of data-driven approaches in …
[HTML][HTML] High-throughput analysis of leaf chlorophyll content in aquaponically grown lettuce using hyperspectral reflectance and RGB images
Chlorophyll content reflects plants' photosynthetic capacity, growth stage, and nitrogen
status and is, therefore, of significant importance in precision agriculture. This study aims to …
status and is, therefore, of significant importance in precision agriculture. This study aims to …
Design and Development of Large-Band Dual-MSFA Sensor Camera for Precision Agriculture
V Mohammadi, P Gouton, M Rossé, KK Katakpe - Sensors, 2023 - mdpi.com
The optimal design and construction of multispectral cameras can remarkably reduce the
costs of spectral imaging systems and efficiently decrease the amount of image processing …
costs of spectral imaging systems and efficiently decrease the amount of image processing …
[HTML][HTML] Smart aquaponics: An innovative machine learning framework for fish farming optimization
A Khandakar, IM Elzein, M Nahiduzzaman… - Computers and …, 2024 - Elsevier
This study presents an innovative approach to aquaponics by integrating artificial
intelligence (AI). The system addresses sustainability challenges by utilizing a novel …
intelligence (AI). The system addresses sustainability challenges by utilizing a novel …
Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models
S Eshkabilov, I Simko - Agriculture, 2024 - mdpi.com
Lettuce (Lactuca sativa) is a leafy vegetable that provides a valuable source of
phytonutrients for a healthy human diet. The assessment of plant growth and composition is …
phytonutrients for a healthy human diet. The assessment of plant growth and composition is …
[PDF][PDF] Exploring Microelement Fertilization and Visible–Near-Infrared Spectroscopy for Enhanced Productivity in Capsicum annuum and Cyprinus carpio Aquaponic …
I Sirakov, S Stoyanova, K Velichkova… - Plants, 2024 - researchgate.net
This study explores the effects of varying exposure times of microelement fertilization on
hydrochemical parameters, plant growth, and nutrient content in an aquaponic system …
hydrochemical parameters, plant growth, and nutrient content in an aquaponic system …
[PDF][PDF] Deep Learning-Enabled Dynamic Model for Nutrient Status Detection of Aquaponically Grown Plants. Agronomy 2024, 14, 2290. htps
MF Taha, H Mao, S Mousa, L Zhou… - doi. org/10.3390 …, 2024 - researchgate.net
Developing models to assess the nutrient status of plants at various growth stages is
challenging due to the dynamic nature of plant development. Hence, this study encoded …
challenging due to the dynamic nature of plant development. Hence, this study encoded …
Exploring Hyperspectral Imaging and 3D Convolutional Neural Network for Stress Classification in Plants
N Noshiri - 2023 - winnspace.uwinnipeg.ca
Hyperspectral imaging (HSI) has emerged as a transformative technology in imaging,
characterized by its ability to capture a wide spectrum of light, including wavelengths beyond …
characterized by its ability to capture a wide spectrum of light, including wavelengths beyond …