[HTML][HTML] Coconut (Cocos nucifera) tree disease dataset: a dataset for disease detection and classification for machine learning applications

S Thite, Y Suryawanshi, K Patil, P Chumchu - Data in Brief, 2023 - Elsevier
Abstract The``Coconut (Cocos nucifera) Tree Disease Dataset''comprises 5,798 images
across five disease categories:``Bud Root Dropping,''``Bud Rot,''``Gray Leaf Spot,''``Leaf …

A smart approach to coconut leaf spot disease classification using computer vision and deep learning technique

SK Brar, R Sharma, S Vats… - 2023 World Conference …, 2023 - ieeexplore.ieee.org
Coconut leaf spot (CLS) disease is a major threat to coconut production and can cause
severe economic losses. In this study, we propose a deep learning (DL)-based ResNext50 …

[HTML][HTML] Arabica coffee leaf images dataset for coffee leaf disease detection and classification

J Jepkoech, DM Mugo, BK Kenduiywo, EC Too - Data in brief, 2021 - Elsevier
This article introduces Arabica coffee leaf datasets known as JMuBEN and JMuBEN2. Image
acquisition was done in Mutira coffee plantation in Kirinyaga county-Kenya under real-world …

Bell pepper leaf disease classification using CNN

M Bhagat, D Kumar, R Mahmood… - … conference on data …, 2020 - ieeexplore.ieee.org
In classifying various plant diseases, Great success has been achieved through deep
learning with convolutional neural networks (CNNs). This paper offers an overview analysis …

Advancing Agricultural Practices: Federated Learning-based CNN for Mango Leaf Disease Detection

S Mehta, V Kukreja, S Vats - 2023 3rd International Conference …, 2023 - ieeexplore.ieee.org
This study offers a new method for identifying and categorizing mango leaf illnesses using a
Convolutional Neural Network (CNN) model based on federated learning. Diseases that …

Disease and pest infection detection in coconut tree through deep learning techniques

P Singh, A Verma, JSR Alex - Computers and electronics in agriculture, 2021 - Elsevier
The coconut palm plantation industry relies heavily on expert advice to identify and treat
infections. Computer vision in deep learning technology opened up an avenue in the …

Comparative transcriptome profiling of healthy and diseased Chowghat Green Dwarf coconut palms from root (wilt) disease hot spots

MK Rajesh, KE Rachana, K Kulkarni, BB Sahu… - European Journal of …, 2018 - Springer
Understanding the molecular basis of host-pathogen interactions is imperative for devising
disease management strategies. The root (wilt) disease is the foremost debilitating disease …

Mango leaf disease identification and classification using a CNN architecture optimized by crossover-based levy flight distribution algorithm

M Prabu, BJ Chelliah - Neural Computing and Applications, 2022 - Springer
Mango leaf diseases have a negative impact on mango quality and yield. It is difficult to
make an accurate diagnosis of mango leaf disease diagnosis with the naked eye. A lot of …

Automated classification of banana leaf diseases using an optimized capsule network model

BF Oladejo, OO Ademola - CS & IT conference proceedings, 2020 - csitcp.net
Plant disease detection and classification have undergone successful researches using
Convolutional Neural Network (CNN); however, due to the intrinsic inability of max pooling …

[HTML][HTML] BananaLSD: A banana leaf images dataset for classification of banana leaf diseases using machine learning

SE Arman, MAB Bhuiyan, HM Abdullah, S Islam… - Data in Brief, 2023 - Elsevier
Bananas, one of the most widely consumed fruits globally, are highly susceptible to various
leaf spot diseases, leading to significant economic losses in banana production. In this …