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Browsing by Subject "Agriculture"

Browsing by Subject "Agriculture"

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  • Selenate and Selenite Transporters in Proso Millet 
    Mushtaq, Naveed Ul; Alghamdi, Khalid M.; Saleem, Seerat; Shajar, Faamiya; Tahir, Inayatullah; Bahieldin, Ahmad; Ul Rehman, Reiaz; Hakeem, Khalid Rehman (Scopus, 22-11-30)
    Crops are susceptible to a variety of stresses and amongst them salinity of soil is a global agronomic challenge that has a detrimental influence on crop yields, thus posing a severe danger to our food security. Therefore, ...
  • Smart Farming 
    Chowdhury, Ankon (Daffodil International University, 23-07-25)
    Plant leaf diseases have recently become a major worry for farmers. This is a danger to both farmers and the country, which depends on agriculture. In this aspect, conventional identification techniques may not be very ...
  • 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 ...
  • 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 ...
  • A Transfer Learning Approach to the Development of an Automation System for Recognizing Guava Disease Using CNN Models for Feasible Fruit Production 
    Shakil, Rashiduzzaman; Akter, Bonna; Rajbongshi, Aditya; Sara, Umme; Barman, Mala Rani; Dhali, Aditi (IEEE, 2023-05-25)
    Guava (Psidium guava) is one of the most popular fruits which plays a vital role in the world economy. To increase guava production and sustain economic development, early detection and diagnosis of guava disease is ...
  • Trends in Citation Pattern in Agricultural Doctoral Theses of Bangladesh Agricultural University 
    Haque, Md. Enamul; Khan, Md. Milan; Rahman, Md. Azizur (Daffodil International University, 2015-01)
    By the method of citation analysis an attempt has been made to identify the main sources of citations and prepare a list of the most important journals used in various disciplines of Agricultural Sciences in Bangladesh ...
  • Using Convolutional Neural Network for Fruit Disease Detection in Machine Learning Approach 
    Hossain, Md.Imran (Daffodil International University, 23-07-25)
    Crop cultivation occupies a key place in the agricultural industry and is essential to supplying the world's food needs. The negative effects of diseased crops, which result in decreased production rates and resultant food ...
  • VegNet 
    Sara, Umme; Rajbongshi, Aditya; Shakil, Rashiduzzaman; Akter, Bonna; Uddin, Mohammad Shorif (Daffodil International University, 2022-06-26)
    Cauliflower, a winter seasoned vegetable that originated in the Mediterranean region and arrived in Europe at the end of the 15th century, takes the lead in production among all vegetables. It's high in fiber and can keep ...
  • 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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