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Browsing Project Report by Subject "Agriculture"

Browsing Project Report by Subject "Agriculture"

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  • Addroid Application for Crop Cultivation for Bangladesh Farmers 
    Juthe, Jarin Sikder; Azade, Tania (Daffodil International University, 2019-05)
    This project is on agriculture based that build on Bangla language. Agriculture is the largest employment sector in Bangladesh. This agricultural application provides the information on crops, production details and new ...
  • Apple Leaf Disease Detection Using Convolutional Neural 
    Akhter, Moriom (Daffodil International University, 22-09-01)
    Being totally dependent on agriculture, Bangladesh, detecting plant diseases can help farmers stimulate economic growth. This study explains how to recognize Apple leaf disease using deep learning algorithms. Deep learning ...
  • The Application of Graph Theory for the Networking of Rural Agriculture Products Marketing 
    Hossen, Md. Shahed; Nesa, Ezzatun (Daffodil International University, 2022-01-02)
    Graph theory could be a major field of study at the present time. But so far research on graph theory is at an early stage. Graph theory plays a very effective role in creating a network mesh. A groundbreaking success ...
  • Applying Machine Learning Approach To Predict Annual Yield of Major Crops and Recommend Planting Different Crops in Different Seasons in Bangladesh 
    Jemi, Arminara; Miah, Faysal (Daffodil International University, 23-01-29)
    The Bangladesh economy heavily depends on agriculture. Bangladesh's agricultural sector is crucial for providing jobs, income, and GDP. Considering how dramatically the human population is growing, crop output is the primary ...
  • An Approach to Create a High Frequency Ultrasound System to Project Agricultural Field From BATs 
    Rahman, Md. Hafizur (Daffodil International University, 2019-05)
    Ultrasonic bat Banisher disposes of bats by radiating persevering ultrasonic sound waves. Bat control is best tended to with a physical hindrance or an ultrasonic Bat Banisher. Bats chase after dim and perch during the ...
  • An Approach to Create IOT Based Automated Smart Farming System for Paddy Cultivation 
    Sultana, Atia; Abul Hasan, Md. (Daffodil International University, 2019-12-10)
    In Bangladesh, paddy can be grown 2-3 times in a year. Paddy fields need to irrigate, once with nature's water and the rest of the times with machine for 1-2 times through water pump. This project name IOT Based Smart ...
  • Automatic Water Control System in Irrigation (AWCSI) 
    Biswas, Pranto (Daffodil International University, 22-09-12)
    Bangladesh is an agriculture country. Most of the Farmer in this country Irrigate there land manually it means they went to their farming land and observe the land that was enough water or not, when they found there was ...
  • Bangladeshi Paddy Yield Prediction Using Machine Learning 
    Santa, Sadia Afrin; Ahmed, Md. Istiaq; Tutul, Md. Abu Sufian (Daffodil International University, 23-01-29)
    Rice is the staple food for Bangladesh's population of 135 million. It provides two-thirds of the region's total calorie supply and half of its total protein consumption, supports nearly half of all rural jobs, and accounts ...
  • A Convolutional Neural Network Model for Prediction of Paddy Crop Disease 
    Opy, Md. Ahasanul Kobir; Alom, Md. Shahin (Daffodil International University, 23-03-01)
    Rice is a dietary staple all through Indian Subcontinent, notably in Bangladesh. The staple food consumed by 130 million people in Bangladesh is rice. To feed its 130 million people, Bangladesh currently produces 25 million ...
  • Implementation of an Improved CNN Model for Detection and Prevention of Plant Diseases Using Deep Learning in Agriculture 
    Rahman, MD Mahfuzur; Mehadi, MD Zahirul Islam; Badhon, Arko Roy (Daffodil International University, 2023-01-28)
    Plant growth is a crucial requirement for framers since it provides a pathway for their livelihood. Plant damage and growth are correlated with one another. Healthy crop cultivation is a priority for framers. It has long ...
  • Lychee Tree Disease Classification and Prediction Using Deep Learning 
    Akter, Sima; Ali, Md. Almas (Daffodil International University, 22-08-14)
    Bangladesh is a predominantly agricultural nation. The majority of people depend on agriculture. But it is a sad fact that the quality and quantity of our fruits are declining due to numerous diseases. People in our ...
  • A Machine Learning and Web-Based Autonomous Agricultural System for Crop and Fertilizer Recommendation and Yield Prediction 
    Shuvessa, Silvia Kh (Daffodil International University, 23-02-08)
    In the world, agriculture is recognized as a crucial economic factor since it meets one of civilization's most basic necessities, namely food. In the majority of nations, it is recognized as the primary source of revenue. ...
  • Machine Learning Techniques to Precaution of Emerging Diseases in the Poultry Industry 
    Kader, Muhtasim Shafi; Akter, Jobeda (Daffodil International University, 2022-01-03)
    Nowadays poultry is the best production of animal protein. With the amazing food diversity of Bangladesh, poultry chicken has a great impact on our daily life. But some major diseases are hampering this industry frequently. ...
  • Modern Agri 
    Agri, Modern; Islam, Md. Jahidul; Nahar, Nazmun (Daffodil International University, 2019-12)
    Although Bangladesh is an Agricultural Country. But in this modern technological era Agricultural sites are lagging behind. Because maximum rural peoples are illiterate and involved in Agriculture. As Bengali is our ...
  • Paddy Disease Classification Using Deep Learning 
    Islam, MD Rasedul; Chaity, Sharnali Paul; Huq, Sharmin (Daffodil International University, 23-02-18)
    Bangladesh is mostly an agricultural nation. A large portion of people is dependent on agriculture. But lack of proper knowledge of our farmers to classify the disease the quality and quantity of our paddy are declining.One ...
  • Paddy Leaf Disease Detection Using CNN 
    Mim, Faria Ani; Rifat, M M Fardeen Ehsan; Saha, Nilay (Daffodil International University, 23-01-29)
    The identification of plant diseases is highly significant to avoid losses in quantity and productivity of agricultural production. Problems in the agriculture industry includes are minimized by using more deep learning ...
  • Plant Leaves Diseases Detection Using Convolutional Neural Network 
    Ghosh, Protyasha (Daffodil International University, 23-01-29)
    In agriculture technologies, images are a key source of data and information. The examination of smart farms was significantly impacted by the usage of image processing methods. The analytical method that uses digital image ...
  • Plant Species Classification Using Neural Network 
    Anik, Asiqur Rahman; Rabbi, MD. Fazle (Daffodil International University, 23-02-18)
    The task that is done in our project is to classify and identify the species of different plant using neural network. The work is done mainly for removing the problems that arises when classifying different types of plants ...
  • Rose Plant Disease Detection Using Deep Learning 
    Al-Alvy, Md. Ali-; Khan, Golam Kibria (Daffodil International University, 23-02-18)
    This work is about the detection and identification of rose plant disease. Detection and Identification are part and parcel of modern agro-technology. Here we just used AI technology to detect rose plant disease but ...
  • Smart Indoor Gardening System 
    Mimi, Afsana Khondokar; Ahmed, Khandaker Tanvir; Bilah, Mohammad Mansur (Daffodil International University, 22-09-12)
    In the world where pollution is increasing and fertilization of agriculture is decreasing, because of natural calamities, drought, and heavy rainfall. For this situation, import of agricultural products prices are increasing ...

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