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Browsing Project Report by Subject "Agriculture"

Browsing Project Report by Subject "Agriculture"

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  • Smart Irrigation in Agriculture 
    Akhi, Most. Momtaj Jahan; Usmi, Amatur; Era, Masura Jahan (Daffodil International University, 2021-01-28)
    With this project, We tend to achieve thriving results by testing out the queries asked at the beginning of the paper. The aim of the smart agriculture system for giant or tiny scale and to create it smarter and simpler. ...
  • Smart Irrigation System 
    Disrty, Jannatul Ferdousi (Daffodil International University, 23-02-18)
    The irrigation system can be fully automated using the intelligent irrigation system's extensive range. Here, we use the ESP32 SIM800L microcontroller, a motor, an AC light, and solar power to create an Internet of ...
  • Sunnet: A Deep Learning Approach To Detect Sunflower Disease 
    Sathi, Taslima Akter; Hasan, MD. Abid (Daffodil International University, 23-02-18)
    Helianthus annuus, often known as sunflower, is a crop that is only mildly affected by drought. The agricultural sector of the economy benefits greatly from this. However, various illnesses have imposed a halt on sunflower ...
  • Tea leaf Disease Identification Using Machine learning Approach 
    Mredul, Maruf Hasan; Khan, MD. Shakil (Daffodil International University, 23-01-29)
    Agriculture remains the most important sector of Bangladesh economy, contributing 19.6 percent to the national GDP and providing employment for 63 percent of the population. Agriculture is the largest livelihood provider ...
  • Tomato Leaf Diseases Classification Using Convolutional Neural Network 
    Sayem, Kazi Abu; Nayem, MD.; Chakma, Kajali; Hasan, A.S.M Monirul (Daffodil International University, 23-01-29)
    Rapid and precise disease detection can considerably boost the sustainable agricultural yield of tomato plants. The conventional method allows for human agricultural professionals to recognize irregularities in tomato ...
  • Tomato's Disease Detection by Deep Learning Using CNN 
    Howlader, Sajib; Hasan, Mahmodul (Daffodil International University, 23-01-29)
    Leaf disease have been one of the riskiest impendences to food society, because it cut down the crops yield and compromise the quality. Tomato is one of the most demandable vegetables in Bangladesh. Due to the insect and ...
  • Towards an Effective Tomato Leaf Disease Classification Using Modified Transfer Learning Algorithm Based on resnet 50 
    Rahman, Md Ashikur (Daffodil International University, 23-01-29)
    To increase agricultural productivity, plant diseases must be detected early and accurately. The deep learning approach based on artificial intelligence is critical in detecting illnesses utilizing a large volume of plant ...
  • Virtual Tree Health Assistant 
    Islam, Md. Ridoy; Banna, Md Bockthier Hasan (Daffodil International University, 2022-01-02)
    Virtual Tree health Assistant” is an android application that will perform some specific operations. Mainly it’s designed for our agricultural sector to boost production. It is focused on diseases and how to prevent them ...
  • Weather Forecasting with Machine Learning 
    Hossain, Md. Ramim; Karim, Mohammad Abdul (Daffodil International University, 22-08-14)
    Due to its numerous applications in industries including agriculture, utilities, and daily life, weather forecasting has been a significant factor. In the past ten years, the world has faced real-time difficulties with ...
  • Web-Based Online Agricultural Management System 
    Akhi, Khaleda Yasmin; Sakin, Md. Mustafiz (Daffodil International University, 23-01-29)
    Bangladesh is an agricultural-based country. This project is to help farmers and other users related to agriculture/agricultural work. In most cases, farmers in our country don’t get enough help regarding their problem, ...

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