An intelligent plant dissease detection system for smart hydroponic using convolutional neural network
Recently, researchers proposed automation of hydroponic systems to improve efficiency and
minimize manpower requirements. Thus increasing profit and farm produce. However, a fully …
minimize manpower requirements. Thus increasing profit and farm produce. However, a fully …
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 …
Remote crop disease detection using deep learning with IoT
I Chung, A Gupta, T Ogunfunmi - 2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Agriculture is such a vital part of our society, and according to the United Nations' Food and
Agricultural Organization (FAO), plant diseases are considered one of the two main causes …
Agricultural Organization (FAO), plant diseases are considered one of the two main causes …
Edge computing based smart aquaponics monitoring system using deep learning in IoT environment
CS Arvind, R Jyothi, K Kaushal, G Girish… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
This research presents an approach to automatic control of the aquaponics system using an
autoML algorithm to improve plant and fish growth and help monitor the system using a …
autoML algorithm to improve plant and fish growth and help monitor the system using a …
Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoT
Controlling environmental conditions and monitoring plant status in greenhouses is critical
to promptly making appropriate management decisions aimed at promoting crop production …
to promptly making appropriate management decisions aimed at promoting crop production …
Deep learning model for image-based plant diseases detection on edge devices
S Chaitra, S Ghana, S Singh… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Plant diseases are a major threat to global food security. Infection of plants by pathogens
can have serious consequences on plant health which inherently affects human health. With …
can have serious consequences on plant health which inherently affects human health. With …
Smart aquaponics with disease detection
R Barosa, SIS Hassen… - 2019 conference on next …, 2019 - ieeexplore.ieee.org
The vision of the Mauritian's Ministry of Agro-Industry and Food security is to further develop
the agricultural sector and to promote the agro-industry by focusing on safety, supply …
the agricultural sector and to promote the agro-industry by focusing on safety, supply …
Design and development of efficient techniques for leaf disease detection using deep convolutional neural networks
V Ranjana, MR Mundada, SP Sawkar… - … electrical circuits and …, 2020 - ieeexplore.ieee.org
With the increase in the spread of crop diseases, there is a need to prevent and control its
contamination so as to increase productivity and yield for the farmers. Plant Diseases have a …
contamination so as to increase productivity and yield for the farmers. Plant Diseases have a …
Deep learning for assessing unhealthy lettuce hydroponic using convolutional neural network based on faster R-CNN with Inception V2
IY Pratama, A Wahab… - 2020 Fifth international …, 2020 - ieeexplore.ieee.org
The hydroponic system is a development of traditional farming that substitute soil as a
medium plant due to land limitation. Lettuce is the most popular hydroponic vegetable …
medium plant due to land limitation. Lettuce is the most popular hydroponic vegetable …
Plant disease detection using web application by neural network
The fundamental necessity for each country is agricultural products. This affects agricultural
productivity in the country and its financial opportunities if plants are afflicted with illnesses …
productivity in the country and its financial opportunities if plants are afflicted with illnesses …