Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection
Plant diseases pose a significant threat to the sustainability of the environment and global
food security. With an increasing population density and the growing demand for plant …
food security. With an increasing population density and the growing demand for plant …
A machine learning method for classification of cervical cancer
Cervical cancer is one of the leading causes of premature mortality among women
worldwide and more than 85% of these deaths are in developing countries. There are …
worldwide and more than 85% of these deaths are in developing countries. There are …
Low-power deep learning model for plant disease detection for smart-hydroponics using knowledge distillation techniques
Recent advances in computing allows researchers to propose the automation of hydroponic
systems to boost efficiency and reduce manpower demands, hence increasing agricultural …
systems to boost efficiency and reduce manpower demands, hence increasing agricultural …
[HTML][HTML] Crop diagnostic system: A robust disease detection and management system for leafy green crops grown in an aquaponics facility
Crops grown on aquaponics farms are susceptible to various diseases or biotic stresses
during their growth cycle, just like traditional agriculture. The early detection of diseases is …
during their growth cycle, just like traditional agriculture. The early detection of diseases is …
Smart control models used for nutrient management in hydroponic crops: a systematic review
P Catota-Ocapana, C Minaya-Andino, P Astudillo… - IEEE …, 2025 - ieeexplore.ieee.org
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 …
A Theoretical Framework Towards Building a Lightweight Model for Pothole Detection using Knowledge Distillation Approach
Despite recent advances in deep learning, the rise of edge devices, and the exponential
growth of Internet of Things (IoT) connected devices undermine the performance of deep …
growth of Internet of Things (IoT) connected devices undermine the performance of deep …
Rice leaf diseases classification using deep learning techniques
P Rawat, A Pandey - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Rice is the primary food source for a significant portion of the global population and the
productivity of rice crops can be severely impacted by diseases. These diseases can cause …
productivity of rice crops can be severely impacted by diseases. These diseases can cause …
Learning from Small Datasets: An Efficient Deep Learning Model for Covid-19 Detection from Chest X-ray Using Dataset Distillation Technique
Ever since the spread of the Coronavirus pandemic popularly known as Covid-19,
researchers have dwelled in finding ways to curtail the spread of this disease. The disease …
researchers have dwelled in finding ways to curtail the spread of this disease. The disease …
A Lightweight CNN-Based Pothole Detection Model for Embedded Systems Using Knowledge Distillation
Recent breakthroughs in computer vision have led to the invention of several intelligent
systems in different sectors. In transportation, this advancement led to the possibility of …
systems in different sectors. In transportation, this advancement led to the possibility of …
Prediction of Plant Growth Through Nutrient Uptake in the Hydroponics System Using Machine Learning Approach
MD Tambakhe, VS Gulhane - Proceedings of International Conference on …, 2022 - Springer
Agriculture has a significant impact on the nation's economy. Hydroponic gardening is
getting more popular as modern agriculture, which allows plants to be grown without ground …
getting more popular as modern agriculture, which allows plants to be grown without ground …