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 …

Plant disease detection and classification using deep learning model

BR Pushpa, A Ashok, SH AV - 2021 third international …, 2021 - ieeexplore.ieee.org
Organic farming is becoming more common in many developing countries agricultural
practices. There are a variety of issues that occur in plant growth due to various …

Identification of paddy leaf diseases using a supervised neural network

OK Pal - 2021 16th International Conference on Emerging …, 2021 - ieeexplore.ieee.org
Rice is the most often eaten staple food by billions of people worldwide. However, paddy
crops are susceptible to diseases such as brown spot, hispa, leaf smut, leaf blast, bacterial …

Plant disease detection in precision agriculture: Deep learning approaches

P Dey, T Mahmud, SR Nahar… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
Plants affect economy, agriculture industry and climate of any country. Therefore it is very
important to take care of plants. Like human being, plants are also infected by various …

Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoT

M Narimani, A Hajiahmad, A Moghimi… - 2021 ASABE Annual …, 2021 - elibrary.asabe.org
Controlling environmental conditions and monitoring plant status in greenhouses is critical
to promptly making appropriate management decisions aimed at promoting crop production …

Rice leaf diseases detector based on AlexNet

S Zakzouk, M Ehab, S Atef, R Yousri… - … Africa conference on …, 2021 - ieeexplore.ieee.org
Rice leaf disease detection is critical for the agriculture sector since rice feeds approximately
half of the world's population. Many researchers worked on this subject, and their results …

Comparison of pre-trained models using transfer learning for detecting plant disease

B Chellapandi, M Vijayalakshmi… - … , and Intelligent Systems …, 2021 - ieeexplore.ieee.org
Artificial Intelligence has been proving a great boon in almost all the sector of industries. In
recent times the demand for food has increased, whereas the supply still lacks. In order to …

Apple fruit disease detection for hydroponic plants using leading edge technology machine learning and image processing

KL Kamala, SA Alex - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
An Apple is also kind of fruit that can be cultivated through Hydroponic farming. The apple
fruit that are been cultivated through soil has a less sweet taste when compared to …

An intelligent plant dissease detection system for smart hydroponic using convolutional neural network

A Musa, M Hamada, FM Aliyu… - 2021 IEEE 14th …, 2021 - ieeexplore.ieee.org
Recently, researchers proposed automation of hydroponic systems to improve efficiency and
minimize manpower requirements. Thus increasing profit and farm produce. However, a fully …

Analyzing computational response and performance of deep convolution neural network for plant disease classification using plant leave dataset

L Kumar, DK Singh - 2021 10th IEEE International Conference …, 2021 - ieeexplore.ieee.org
Computer vision plays a vital role in the area of agriculture for various applications like
irrigation monitoring, animal monitoring in farm areas, plant classification, disease detection …