Plant disease detection and classification: A systematic literature review

Ramanjot, U Mittal, A Wadhawan, J Singla, NZ Jhanjhi… - Sensors, 2023 - mdpi.com
A significant majority of the population in India makes their living through agriculture.
Different illnesses that develop due to changing weather patterns and are caused by …

[PDF][PDF] Deep Learning for Image-Based Plant Growth Monitoring: A Review.

YS Tong, TH Lee, KS Yen - International Journal of Engineering & …, 2022 - researchgate.net
Deep learning (DL) approaches have received extensive attention in plant growth
monitoring due to their ground-breaking performance in image classification; however, the …

[HTML][HTML] Development of a chickpea disease detection and classification model using deep learning

AJ Belay, AO Salau, M Ashagrie, MB Haile - Informatics in medicine …, 2022 - Elsevier
Ethiopia is the largest producer of chickpeas in Africa. Crop production and yield in Ethiopia
is greatly affected by plant diseases which cause loss of agricultural products every year …

Transfer learning-based search model for hot pepper diseases and pests

H Yin, YH Gu, CJ Park, JH Park, SJ Yoo - Agriculture, 2020 - mdpi.com
The use of conventional classification techniques to recognize diseases and pests can lead
to an incorrect judgment on whether crops are diseased or not. Additionally, hot pepper …

Prediction of diseased rice plant using video processing and LSTM-simple recurrent neural network with comparative study

T Verma, S Dubey - Multimedia Tools and Applications, 2021 - Springer
The disease infliction of the plants severely influences the yield. It alters the essence and
extent of crop production cause fiscal distress. Consequently, the diagnosis of numerous …

Image processing technique for automatic detection of plant diseases and alerting system in agricultural farms

PK Mugithe, RV Mudunuri, B Rajasekar… - 2020 International …, 2020 - ieeexplore.ieee.org
Farming is the foundation of Indian economy. In recent years, crop yield is not as expected
because the plants are drastically affected by diseases. Hence the farmer has to apply the …

Development of a model for detection and grading of stem rust in wheat using deep learning

EA Nigus, GB Taye, DW Girmaw, AO Salau - Multimedia Tools and …, 2024 - Springer
Stem rust is a highly prevalent and damaging fungal disease that affects wheat crops
worldwide. It is caused by the Puccinia graminis f. sp. tritici fungus, and can significantly …

A Review on Plant Disease Detection Using Hyperspectral Imaging

R Rayhana, Z Ma, Z Liu, G Xiao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Agriculture production is one of the fundamental contributors to a nation's economic
development. Every year, plant diseases result in significant crop losses that threaten the …

[PDF][PDF] Deep learning based identification of Pepper (Capsicum annuum L.) diseases: A review

CH Kim, MNR Samsuzzaman, K Ali… - Precision …, 2023 - researchgate.net
Recent advancements in plant disease identification have leveraged image processing and
deep learning techniques for automated detection. Visual deep learning systems are …

Zero-Shot Transfer Learning Framework for Plant Leaf Disease Classification

RSR Singh, RK Sanodiya - IEEE Access, 2023 - ieeexplore.ieee.org
Agriculture's pivotal role in sustaining livelihoods and driving economic growth is widely
recognized, yet various challenges like the adverse effects of climate change and limited …