Diagnosis of some apple fruit diseases by using image processing and artificial neural network
Farmers typically lack the knowledge of diagnosis and control of different apple diseases.
However, some apple diseases have visual symptoms and can be diagnosed by eyes, but …
However, some apple diseases have visual symptoms and can be diagnosed by eyes, but …
Improved commodity supply chain performance through AI and computer vision techniques
In the realm of supply chain management, the impact of Artificial Intelligence (AI) tools on
optimizing commodity distribution is undeniable. This study presents the transformative …
optimizing commodity distribution is undeniable. This study presents the transformative …
A comprehensive review on apple leaf disease detection
Apple trees are an important economic crop for many countries and the maintenance of the
health and production of plantations depends on the prevention of leaf disease by early …
health and production of plantations depends on the prevention of leaf disease by early …
Deep convolutional neural network architecture for plant seedling classification
Weed control is essential in agriculture since weeds reduce yields, increase production cost,
impede harvesting, and degrade product quality. As a result, it is indeed critical to recognize …
impede harvesting, and degrade product quality. As a result, it is indeed critical to recognize …
Pneumonia detection in chest x-rays using transfer learning and TPUs
Pneumonia is a severe respiratory disease with potentially life-threatening consequences if
not promptly diagnosed and treated. Chest X-rays are commonly employed for pneumonia …
not promptly diagnosed and treated. Chest X-rays are commonly employed for pneumonia …
An Artificial Intelligence Framework for Disease Detection in Potato Plants
A Abbas, U Maqsood, SU Rehman… - … , Technology & Applied …, 2024 - etasr.com
Agricultural products are a fundamental necessity for every country. When plants are
afflicted with diseases, it influences the country's agricultural productivity, as well as its …
afflicted with diseases, it influences the country's agricultural productivity, as well as its …
A Dual-Branch Model Integrating CNN and Swin Transformer for Efficient Apple Leaf Disease Classification
H Si, M Li, W Li, G Zhang, M Wang, F Li, Y Li - Agriculture, 2024 - mdpi.com
Apples, as the fourth-largest globally produced fruit, play a crucial role in modern agriculture.
However, accurately identifying apple diseases remains a significant challenge as failure in …
However, accurately identifying apple diseases remains a significant challenge as failure in …
Performance Analysis of Deep Transfer Learning Models for the Automated Detection of Cotton Plant Diseases
Cotton is one of the most important agricultural products and is closely linked to the
economic development of Pakistan. However, the cotton plant is susceptible to bacterial and …
economic development of Pakistan. However, the cotton plant is susceptible to bacterial and …
Detection of sesame disease using a stepwise deep learning approach
Sesame, along with coffee, is Ethiopia's most exported product and the country's main
source of foreign exchange. It is mostly cultivated in the northern parts of Ethiopia. The …
source of foreign exchange. It is mostly cultivated in the northern parts of Ethiopia. The …
Weber's Law-based Regularization for Blind Image Deblurring
Blind image deblurring aims to recover an output latent image and a blur kernel from a given
blurred image. Kernel estimation is a significant step in blind image deblurring and requires …
blurred image. Kernel estimation is a significant step in blind image deblurring and requires …