[HTML][HTML] A VGG-19 model with transfer learning and image segmentation for classification of tomato leaf disease

TH Nguyen, TN Nguyen, BV Ngo - AgriEngineering, 2022 - mdpi.com
Tomato leaves can have different diseases which can affect harvest performance. Therefore,
accurate classification for the early detection of disease for treatment is very important. This …

Plant disease detection and classification techniques: a comparative study of the performances

WB Demilie - Journal of Big Data, 2024 - Springer
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

Potato plant leaves disease detection and classification using machine learning methodologies

A Singh, H Kaur - IOP Conference Series: Materials Science and …, 2021 - iopscience.iop.org
Agriculture is one of the essential sectors for the survival of humankind. At the same time,
digitalization touching across all the fields that became easier to handle various difficult …

Hybridization of ResNet with YOLO classifier for automated paddy leaf disease recognition: An optimized model

G Ganesan, J Chinnappan - Journal of Field Robotics, 2022 - Wiley Online Library
Paddy is the most significant crop utilized by more than 2.6 billion people. The paddy crops
are affected by various diseases that are unidentified and reduced the production of crop …

Leaf analysis based early plant disease detection using Internet of Things, Machine Learning and Deep Learning: A comprehensive review

SR Prasad, GS Thyagaraju - Journal of Integrated Science …, 2024 - pubs.thesciencein.org
In agriculture, the timely identification of plant diseases is vital for reducing crop loss,
ensuring high-quality yields, and fostering sustainable farming practices. The agricultural …

Detection and classification of plant leaf diseases using digtal image processing methods: a review

L Mohammed, Y Yusoff - ASEAN Engineering Journal, 2023 - journals.utm.my
Prediction and classification of plant leaf illnesses by farmers using conventional
approaches can be unexciting and erroneous. Problems may occur while trying to predict …

CNN-based Indian medicinal leaf type identification and medical use recommendation

S Praveena, SM Pavithra, ADV Kumar… - Neural Computing and …, 2024 - Springer
Medicinal leaves are playing a vital role in our everyday life. There are an enormous amount
of species present in the world. Identification of each type would be a tedious task. Using …

A survey on pest and disease monitoring of crops

P Deepika, S Kaliraj - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
Maintenance of Crop health is essential for the successful farming for both yield and product
quality. Pest and disease in crops are serious problem to be monitored. pest and disease …

Drone technology enabled leaf disease detection and analysis system for agriculture applications

LN Thalluri, SD Adapa, D Priyanka… - … on Smart Electronics …, 2021 - ieeexplore.ieee.org
Drone technology is an emerging technology that is being used for many commercial and
survey purposes. This research work has designed a drone technology to develop leaf …

Image-based potato phoma blight severity analysis through deep learning

SN Mandal, K Mukherjee, S Dan, P Ghosh… - Journal of The Institution …, 2023 - Springer
Recently, phoma blight disease is causing a huge loss in potato tuber production. Plant
pathologists have assigned numbers to represent the intensities of diseases based on eye …