A Deep Learning Based Approach for Banana Plant Leaf Diseases ...

A Deep Learning-based Approach for Banana Leaf Diseases ...

Keywords: Banana plant diseases, Deep learning, Classification. 1 Introduction. Crop diseases are major sources of famine and food insecurity on our planet.

A Deep Learning-based Approach for Banana Leaf Diseases ...

In another intriguing research project, scientists proposed a deep learning-based [13] method to automate the classification of banana leaf diseases. They ...

A Deep Learning Based Approach for Banana Plant Leaf Diseases ...

Our system can efficiently predict the banana leaf disease and will suggest remedies for the disease being predicted. Keywords. Banana plant diseases, Deep ...

A Deep Learning-based Approach for Banana Leaf Diseases ...

A deep learning-based approach is proposed that automates the process of classifying banana leaves diseases and makes use of the LeNet architecture as a ...

A Deep Learning-based Approach for Banana Leaf Diseases ...

Plant diseases are important factors as they result in serious reduction in quality and quantity of agriculture products. Therefore, early detection and ...

(PDF) A Deep Learning-based Approach for Banana Leaf Diseases ...

Plant diseases are important factors as they result in serious reduction in quality and quantity of agriculture products. Therefore, early detection and ...

A Deep Learning Based Approach for Banana Plant Leaf Diseases ...

In this project, a deep-learning approach is being proposed to detect and classify banana leaf diseases, which makes use of the LeNet architecture as a ...

DEEP LEARNING APPROACH TO DETECT BANANA PLANT ...

And the main reason is the less availability of experts. In order to identify banana plant leaf diseases, the author has decided to develop a Convolutional ...

A Deep Learning-based Approach for Banana Leaf Diseases ...

The current review addresses one approach from 2017 to automate the process of classifying banana leaves diseases. In particular, the authors of ...

Analysis of banana plant health using machine learning techniques

A deep learning-based approach is implemented to identify diseases in banana leaves. In the pre-processing stage, the authors resize the image ...

A Deep Learning-based Approach for Banana Leaf Diseases ...

we have implemented a machine learning model which helps in early detection of various diseases in banana plant and thus minimizes the loss of yield. The ...

BananaSqueezeNet: A very fast, lightweight convolutional neural ...

Banana leaf diseases can also be detected using Gabor Extraction and Region-Based Convolution Neural Network (RCNN) [29]. Gopinath et al. presented an automated ...

Analysis of banana plant health using machine learning techniques

The urgency of early identification is underscored by the fact that diseases predominantly affect banana plant leaves. Automated systems that ...

AI-powered banana diseases and pest detection - Plant Methods

To build a detection model, we retrained three different convolutional neural network (CNN) architectures using a transfer learning approach. A ...

Incorporating Deep Learning into the Diagnosis of Banana Leaf ...

Artificial intelligence, especially deep learning, assumes a pivotal role in tackling this challenge by leveraging advanced algorithms and data ...

Image Processing based Banana Leaf recognition and ... - IJIRMPS

Keywords: Banana plant diseases, Deep learning, Classification, Convolutional Neural Network (CNN), Ratio of Infected. Area (RIA), K- Nearest Neighbor (KNN), ...

Mobile-based Deep Learning Models for Banana Disease Detection

Early detection of banana diseases is important to identify the diseases before too much damage is done on the plants. In this paper, a tool for early detection ...

Deep Learning-Based Leaf Disease Detection in Crops Using ...

[32] proposed a hybrid convolutional neural network to classify banana plant disease. In their approach, the raw input image was preprocessed without altering ...

Leaf disease detection using machine learning and deep learning

Laxmi and Gupta [42] proposed a fuzzy twin support vector machine (FTSVM) model to recognize plant leaf images. Guang-Bin et al. [43] proposed the concept of an ...

Deep learning-based segmentation and classification of leaf images ...

We performed transfer learning for the detection of various tomato plant leaf diseases. The developer, Inception Net CNN model, ensured that the ...