Browsing by Author "Laboni, Marfi Akter"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Bangladeshi Local Potatoes Dataset and Classification Using Deep Learning
    (IEEE, 2020-12) Deb, Shrabosty; Laboni, Marfi Akter; Hena, Most. Hasna
    Potato is one of the major foods in Bangladesh during winter which shows the most environmentally amiable vegetables. Variations of potatoes in Bangladesh that are grown here are extensively categorized into two divisions, high yielding and local. Assuredly, potato is the world’s most important crop when it comes to rank according to the volume of the fresh products. Moreover, the minerals, fibers, and vitamins it delivers can serve convenience for human healthiness and guard against diseases. Recently, different kinds of potatoes of Bangladesh has been exporting to various countries worldwide. Hence, a lot of people are engaging in agriculture to cultivate potatoes. It is very essential for the farmers to acknowledge that; which kinds of potato cultivation will be beneficial according to the market price and cultivating process. This system can help agriculturists, farmers, and general people to find out the local species of potatoes. This dataset of locally recognized potatoes like Diamond Alu, Mete Alu, Lal Alu, Jam Alu, Lal Mishti Alu, Chhoto Lal Alu, Mete Chhora Alu, Shunno Alu, Shada Mishti Alu, and Keshar Alu. Using a dataset of potatoes (5190 images) that have been collected by us, this research trained a CNN (Convolutional Neural Network) and deep learning based model to identify potatoes. The model gets an accuracy of 98.87%.
  • Thumbnail Image
    Item
    Smart Auto-pricing System Using IoT
    (Daffodil International University, 2019-12) Laboni, Marfi Akter; Mim, Athai Mahbub
    Internet of Things (IoT) has brought a revolution in the technology world by making everything automated, smart and intelligent. A thing which has a self-configured network can be considered as a network of things. The development of Smart Auto-Pricing System Using IoT is conceived from making life more easy and reduces the price rising corruption and to reduce the time complexity of the manual price entries. As a result the seller cannot set the price according to their wishes. The aim of this proposed system is to build an automatic and convenient information system to protect the price shoot of products specially food items so that people can buy the products in fair price. The main objective of this project is to measure the weight and recognize the item placed on this machine and shows the total price along with weight according to the total amounts of all items so that the seller need not to input the price manually along with rigged in weight measuring, which in turn reduces the price shoot corruption. This IoT based Smart AutoPricing System is proposed as an integrated with Arduino Technology mixed with different Sensors. The load cell is used for the measure weight, color sensor to recognize the object and Wi-Fi module producing updated data for the price of the products that can be obtained from online the database. In the future, AI will be incorporated to support decision making using this system.