Enhancing mango disease diagnosis through eco-informatics: A deep learning approach

AA Salamai - Ecological Informatics, 2023 - Elsevier
The mango is one of the most popular and economically important fruits in the world, but it is
vulnerable to various diseases that can significantly reduce the quality and yield of the fruit …

Deep learning for mango leaf disease identification: A vision transformer perspective

MA Hossain, S Sakib, HM Abdullah, SE Arman - Heliyon, 2024 - cell.com
Over the last decade, the use of machine learning in smart agriculture has surged in
popularity. Deep learning, particularly Convolutional Neural Networks (CNNs), has been …

Detection of the patient with COVID-19 relying on ML technology and FAST algorithms to extract the features

SA Sahy, SH Mahdi, HM Gheni… - Bulletin of Electrical …, 2022 - beei.org
COVID-19 is unquestionably one of the most hazardous health issues of our century, and it
is a significant cause of mortality for both men and women throughout the globe. Even with …

Mango Skin Disease Detection Techniques Based on Machine Learning Techniques: A Review

S Jadhav-Mane, J Singh - Wireless Personal Communications, 2025 - Springer
The mango, commonly called the “king of fruits,” is India's most significant commercial fruit
crop and a member of the Anacardiaceous family. Due to its extensive production, it is …

[PDF][PDF] Improved vision-based diagnosis of multi-plant disease using an ensemble of deep learning methods

RH Hridoy, AD Arni, A Haque - International Journal of Electrical …, 2023 - researchgate.net
Farming and plants are crucial parts of the inward economy of a nation, which significantly
boosts the economic growth of a country. Preserving plants from several disease infections …

Mango leaf disease classification using hybrid Coyote-Grey Wolf optimization tuned neural network model

J Seetha, R Ramanathan, V Goyal… - Multimedia Tools and …, 2024 - Springer
The identification of diseases in plants contributes an important role in captivating disease
control methods for the improvement of quality and quantity of crop yield. Mango trees are …

Betel leaf classification using color-texture features and machine learning approach

N Puspitasari, A Septiarini, U Hairah, A Tejawati… - Bulletin of Electrical …, 2023 - beei.org
The existence of machine learning has been exploited to solve difficulties in various fields,
including the classification of leaf species in agriculture. Betel leaf is one of the plants that …

Deep Learning for Detection of Mango Leaf Disease: A Comparative Study Using Convolutional Neural Networks Models

MOF Rabbi, I Jahan, L Rukhsara… - 2024 6th International …, 2024 - ieeexplore.ieee.org
The intricacy of diagnosing mango leaf disease is compounded by the multiplicity of crop
types, variations in agricultural disease markers, and a multitude of environmental factors …

Estimating Mango Mass from RGB Image with Convolutional Neural Network

MHB Ismail, MN Wagimin… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Mangoes are graded based on their textures, colors, sizes and masses. Thus, there are
large number of studies focussing on the size and weight estimation of mangoes. Among the …

[PDF][PDF] Feature extraction to predict quality of segregating sweet tamarind using image processing

P Tangwannawit, S Tangwannawit - Indonesian Journal of Electrical …, 2022 - academia.edu
In this modern age, several new methods have been developed, especially in image
processing for agriculture business, which consists of technologies derived from artificial …