Pranajit Kumar Das
In the era of artificial intelligence, deep learning, and computer vision play a vital role in leaf-based disease identification and categorization. Leaf diseases are the most dangerous calamity that has direct detrimental effects on farmers’ lives, and consequently on gross yield production and the...
Pranajit Kumar Das, Md. Abu Kawsar, Puspendu Biswas Paul, Md. Abdullah Al Mamun Hridoy et al.
There are about 33,000 different species of fish and they are visually identified using variety of traits, i.e., size and shape of body, head's size and shape, skin pattern, fin pattern, mouth pattern, scale pattern, and eye pattern etc. In traditional manner, identifying these fish species is alway...
Pranajit Kumar Das, Suree Pumrin
Diabetic Retinopathy (DR) is an eye complication that arises from long-term diabetes and damages the retinal blood vessels.Various clinical studies claim that Diabetic retinopathy infects about eighty percent of patients who suffer from diabetes type 1 for the last 15 years and a hundred percent of ...
Pranajit Kumar Das, Subarna Sarker Rupa, Suree Pumrin, Utpal Chandra Das et al.
Detection and classification of leaf and crop diseases in a traditional way is a very laborious task as it involves a significant amount of physical work, huge expert manpower, and valuable time. Automatic systems are more accurate and require less time, labor, and physical work. Artificial intellig...
Pranajit Kumar Das, Subarna Sarker Rupa
In the era of the 21st century, Deep CNN has proven its potential in crop and fruit disease classification and detection. Diseases have a ruinous effect on the quality and gross production of yields, which is related to the world economy. Proper identification of diseases at early stages may save yi...
Mohammed Khalid Hossen, Sayed Mashequl Bari, Partho Protim Barman, Rana Roy et al.
<strong>Abstract:</strong> OpenCV-Python has found its use in various fields during the course of its development, especially in the shape and colour detection of an actual image. It is more reliable to make a better and faster decision. So, OpenCV and Python are increasingly finding their applicati...
Amir Sohel, Md. Murshidul Alam Sarker, Utpal Chandra Das, Pranajit Kumar Das et al.
The sunflower (Helianthus annuus) is considered to possess a low to moderate susceptibility to drought conditions. However, production has reduced as a result of some of its illnesses. Therefore, it is necessary to take steps to identify the diseases of plants earlier. Disease identification is a ti...
Mohammed Khalid Hossen, Pranajit Kumar Das, Rana Roy
Traditional methods for identifying plant diseases in Bangladesh present numerous challenges, such as inadequacy of method, time-consuming processes, and expensive costs for farmers. To address these issues, this study proposes an innovative approach that leverages deep learning and computer vision ...
Pranajit Kumar Das, Himangshu Shakor Paul, Mahadi Hasan Tultul
In the era of technology, people are using smartphones for their everyday needs, like entertainment, communication, and education needs. Various organizations are developing mobile apps for their needs and using them for different purposes. Faculties, students, staff, and other stakeholders of Sylhe...
Pranajit Kumar Das
In the era of urbanization in the 21st century, the number of vehicles on the road has increased drastically to cope with the increased population of the city which directly affects the traffic on the street and more importantly on intersections. Automatic traffic signaling system can plays a vital ...