An integrated framework of two-stream deep learning models optimal information fusion for fruits disease recognition

U Zahra, MA Khan, M Alhaisoni… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Diseases impact the rates of production of many agricultural goods. These diseases require
detection, which is difficult to do manually. Therefore, the creation of some automated illness …

DEEPFIC: Food item classification with calorie calculation using dragonfly deep learning network

PJ Shermila, A Ahilan, M Shunmugathammal… - Signal, Image and Video …, 2023 - Springer
Nowadays, many people are suffered from obesity, they tend to maintain their body weight
by consuming a sufficient number of calories in their routine life. In this research, a novel …

[HTML][HTML] MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus

T Chawla, S Mittal, HK Azad - Ecological Informatics, 2024 - Elsevier
Yellow vein mosaic virus (YVMV) is a destructive plant virus that commonly affects crops,
particularly okra, in India. The virus is transmitted by whiteflies and poses significant …

An automatic detection of citrus fruits and leaves diseases using enhanced convolutional neural network

R Shastri, A Chaturvedi, B Mouleswararao… - Remote Sensing in …, 2023 - Springer
Accurate and timely detection of diseases present in citrus crops is a crucial task for effective
crop management and the prevention of yield loss. Traditional methods of disease detection …

Fruits Disease Classification using Machine Learning Techniques

Y Benlachmi, A El Airej… - Indonesian Journal of …, 2022 - section.iaesonline.com
Due to increased population, there is a high demand for agricultural products these days
and therefore, effective growth and increased fruit production have become critical …

Role of Artificial Intelligence in Agriculture: An Analysis and Advancements with Focus on Plant Diseases

R Rani, J Sahoo, S Bellamkonda, S Kumar… - IEEE …, 2023 - ieeexplore.ieee.org
The increased demand for food is accelerating plant diseases globally. Hence, a manual
process of detection of plant diseases is almost impossible. Artificial intelligence (AI) can …

Utilization of Improved Annotations from Object-Based Image Analysis as Training Data for DeepLab V3+ Model: A Focus on Road Extraction in Very High-Resolution …

E Husni, R Yusuf, AB Harto, D Suwardhi… - IEEE …, 2024 - ieeexplore.ieee.org
Road extraction plays a crucial role in various sectors, including transportation systems,
disaster relief distribution, and urban planning, necessitating a more efficient method than …

An automatic classification framework for identifying type of plant leaf diseases using multi-scale feature fusion-based adaptive deep network

B Nagachandrika, R Prasath, IRP Joe - Biomedical Signal Processing and …, 2024 - Elsevier
This method of identifying plant leaf disease generally involves a large team of experts with
extensive knowledge of plant diseases, and it can be expensive, time-consuming, and …

Prediction of Citrus Diseases Using Machine Learning And Deep Learning: Classifier, Models SLR

MS Farooq, A Mehboob - arXiv preprint arXiv:2306.01816, 2023 - arxiv.org
Citrus diseases have been major issues for citrus growing worldwide for many years they
can lead significantly reduce fruit quality. the most harmful citrus diseases are citrus canker …

An effective approach for plant disease detection using assessment-based convolutional neural networks (A-CNN)

NJ Jerome, S Jothiraj, S Kandasamy… - … in Applied Sciences …, 2023 - semarakilmu.com.my
Agriculture is crucial in determining land availability and economic productivity in
developing countries, where most of the population relies on this sector. Even though plant …