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Browsing by Subject "Agriculture"

Browsing by Subject "Agriculture"

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  • A Computer Vision Technique to Detect Scab on Malabar Nightshade 
    Mojumdar, Mayen Uddin; Chakraborty, Narayan Ranjan (IEEE, 2020-10-15)
    Agribusiness and its efficiency have a decent effect on the financial development of each nation. In Agriculture, leaf ailments have become an issue because it may a create basic decline in both quality and measure of ...
  • A Convolutional Neural Network Approach to Recognize the Insect 
    Hossain, Md. Imran; Paul, Bidhan; Sattar, Abdus; Islam, Md. Mushfiqul (IEEE, 2020-06-16)
    In Bangladesh huge amount of agricultural products are destroying by the pests every year due to lack of poor knowledge about pest detection. As we know that manually identification is difficult for a farmer. So, classic ...
  • 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 ...
  • A Crop Pest Classification Model Using Deep Learning Techniques 
    Malek, Md Abdul; Reya, Sanjida Sultana; Hasan, Md Zahid; Hossain, Shakhawat (IEEE, 2021-01)
    This paper provides a pest identification system to classify crops' beneficial and harmful pests. For that purpose, the paper first provides a detailed description of the available pests-identification techniques along ...
  • Crop Yield Prediction and Impact of Weather on Crops in Bangladesh 
    Rabbee, Md. Fazle (Daffodil International University, 22-12-17)
    Agriculture is the most important industry that influence the economy in Bangladesh. After freedom, the farming area was Bangladesh's really monetary main impetus. As Bangladesh is an agricultural country, the economy as ...
  • DCNN Based Disease Prediction of Lychee Tree 
    Islam, Saiful; Akter, Shornaly; Islam, Mirajul; Rahman, Md. Arifur (Springer, 2023-04-17)
    Tree disease classification is needed to determine the affected leaves as it controls the economic importance of the trees and their products and decreases their eco-friendly eminence. The lychee tree is affected by some ...
  • Deep Learning Based Zucchini Leaf Diseases Detection: A Commercial Agriculture Development in Bangladesh 
    Tusher, Abdur Nur; Sammy, Mst. Sakira Rezowana; Moeen, Md. Leaul Hamd; Deb, Sreedham; Islam, Md. Tariqul; Sadik, Md. Shibli (IEEE, 2023-11-25)
    "The economic growth of Bangladesh is heavily dependent on agricultural production, but the several diseases have significantly impeded the growth of crops. The zucchini plant is commonly afflicted by diseases ...
  • Deep Neural Network-Based Approach to Identify the Paddy Leaf Disease using ResNet50-V2 
    Islam, M.A.; Rahman, M.M.; Shohan, A.A.; Pulok, R.A.; Akter, S.; Ahmed, M.T. (Elsevier, 2023-10-21)
    South Asian countries especially Bangladesh, India, and Srilanka are very involved in paddy cultivation. In Bangladesh and India, one of the key producing crops is paddy. Worldwide more than 40 percent of the world's ...
  • Development and Sensory Feature As Well as Proximate Analysis of Gluten-Free Flaxseed Bread" 
    Sweety, Humayra Kabir (Daffodil International University, 23-04-01)
    Flax seeds referred to as a "functional food" by certain individuals, which suggests that someone can eat it to improve their health. It’s an ancient crop. In the modern era, flaxseed is offered as seeds, oils, powder, ...
  • Doctoral Theses of Agricultural Faculty of BAU: A Bibliometric Analysis from 1974 to 2014 
    Haque, Md. Enamul; Khan, Md. Milan (Daffodil International University, 2020)
    This paper presents a bibliometric analysis of the doctoral theses, for the period from 1974 to 2014, awarded in the Faculty of Agriculture at Bangladesh Agricultural University (BAU), Mymensingh, in the fields of agronomy, ...
  • Does Agricultural Ecology Cause Environmental Degradation? Empirical Evidence From Bangladesh 
    Chowdhury, Shanjida; Khan, Sunjida; Sarker, Md Fouad Hossain; Islam, Md Kabirul; Tamal, Maruf Ahmed; Khan, Niaz Ahmed (Daffodil International University, 2022-06-20)
    Agricultural sector accelerates a nation’s economic growth towards sustainable development. There exists a significant relationship between agriculture and the environment. Sustainable agricultural development ensures food ...
  • Does FinTech Credit Scale Stimulate Financial Institutions To Increase the Proportion of Agricultural Loans? 
    Mohsin, Akm; Sheikh, MD Rashidul Islam; Tushar, Hasanuzzaman; Iqbal, Mohammed Masum; Hossain, Syed Far Abid; Kamruzzaman, Md. (Daffodil International University, 2022-09-02)
    FinTech has raised the risk-taking level of financial institutions. This paper aims to explore FinTech Credit (FTC) scale of non-financial institutions and the risk-taking level of financial institutions into Opiela’s ...
  • Dynamic Linkages Between Climatic Variables and Agriculture Production in Malaysia 
    Akhtar, Rulia; Masud, Muhammad Mehedi (Daffodil International University, 2022-01-30)
    Climate change continues to pose a threat to the agricultural sectors worldwide, jeopardizing food and nutritional security, which is a critical component of the sustainable development agenda. Consequently, this study ...
  • Efficacy of Freeze-Dried Carrot Pomace Powder in Improving the Quality of Wheat Bread 
    Begum, R.; Chowdhury, M.A.F; Hasan, M.R.; Rahman, M.F.; Rahman, M.H.; Alim, M.A. (Rynnye Lyan Resources, 2023-11-12)
    The application of carrot pomace powder (CPP) in various foods can ensure the utilization of by-products produced from carrot processing industries as well as improve the nutritional quality of the formulated product. ...
  • An Extensive Sunflower Dataset Representation for Successful Identification and Classification of Sunflower Diseases 
    Sara, Umme; Rajbongshi, Aditya; Shakil, Rashiduzzaman; Akter, Bonna; Sazzad, Sadia; Uddin, Mohammad Shorif (Daffodil International University, 2022-05-13)
    Sunflowers are agricultural seed crops that can be used for essential edible oils and ornamental purposes. This cash crop is primarily cultivated in North and South America. Sunflower crops are prone to various diseases, ...
  • False Smut Disease Detection in Paddy Using Convolutional Neural Network 
    Hasan, Nahid; Hasan, Tanzila; Hossain, Shahadat; Hasan, Md. Manzurul (Springer Nature Limited, 2023-06-11)
    Rice false smut (RFS) is the most severe grain disease affecting rice agriculture worldwide. Because of the various mycotoxins produced by the causal pathogen, Villosiclava virens, epidemics result in yield loss and poor ...
  • Farmer Shop 
    Hawlader, Kanta (Daffodil International University, 22-08-23)
    Customers and farmers, Agriculture officers may get online information on crops, statistics, recent product pricing, warehouse management, immediate issue solutions, and new trends through the Agricultural Management System. ...
  • Farming Solution Smart Farming 
    Shawon, Shiful Islam (Daffodil International University, 22-11-08)
    This is a blogging web application and also an online marketplace for the seeds, or tree, the baby Plants, medicine and others equipment. Bangladesh is a poor country with a large of population. More people need more food. ...
  • Fresh and Rotten Fruits Classification Using Deep Learning Algorithm. 
    Akter, Sumaeya (Daffodil International University, 23-01-18)
    Producing fruit was a common and important part of agricultural life in Bangladesh. The growing of fruit has gone through a period of profound change. We obtain nutrients from fruits. It is a provider of vitamin and mineral ...
  • Fruit Classification Using Image Processing 
    Boby, Farjana Abedin; Meem, Tanzila Rahman (Daffodil International University, 23-02-18)
    Detection of rotten culmination has become big within the agro-industry. In general, the category of sparkling and rotten fruit isn't always powerful for fruit growers and sporting people. People get worn out after doing ...

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