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Browsing by Subject "Agriculture"

Browsing by Subject "Agriculture"

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  • Addressing Agricultural Challenges: An Identification of Best Feature Selection Technique for Dragon Fruit Disease Recognition 
    Shakil, Rashiduzzaman; Islam, Shawn; Shohan, Yeasir Arafat; Mia, Anonto; Rajbongshi, Aditya; Rahman, Md Habibur; Akter, Bonna (Elsevier, 2023-11-02)
    Dragon fruit is a prominent substance in global agriculture. Despite this, it is gaining popularity and is a viable solution in resource-poor, environmentally degraded areas because of its many health benefits. Nevertheless, ...
  • 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 ...
  • Analysis of Recognition Performance of Plant Leaf Diseases Based on Machine Vision Techniques 
    Haque, Imdadul; Alim, Mohsin; Alam, Mahbub; Nawshin, Samia; Noori, Sheak Rashed Haider; Habib, Md. Tarek (Daffodil International University, 2022-03-01)
    Agriculture is the primary source of income for the majority of the population in Bangladesh. Agriculture is also a big part of the economy of the country. Therefore, it's more necessary to grow our crops and fruits and ...
  • Anthropogenic Drivers Induced Desertification Under Changing Climate 
    Pal, Subodh Chandra; Chatterjee, Uday; Chakrabortty, Rabin; Roy, Paramita; Chowdhuri, Indrajit; Saha, Asish; Islam, Abu Reza Md. Towfiqul; Alam, Edris; Islam, Md Kamrul (Elsevier, 2023-12-17)
    A study of the extended desertification due to anthropogenic causes under climate change (CC) associated with its impact is presented here. Desertification, the main environmental issue, severely impacts agricultural output, ...
  • 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 Fresh and Rotten Vegetables Detection Using CNN 
    Meem, Sadia Sultana (Daffodil International University, 22-12-06)
    Vegetables cultivation is part of our Bangladeshi Farming Industry. Vegetables also helps human to get lot of vitamins which keep body energetic and fit. Furthermore, in our nation almost every people get benefits from ...
  • 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 ...
  • Bangladeshi Rice & Tea Leaf Disease Detection Using Machine Learning 
    Rakib, Md. (Daffodil International University, 2024-01-01)
    Bangladesh's economy is based primarily on agriculture, with the production of tea and rice being essential to maintaining livelihoods and food security. The persistent risk of illnesses in rice and tea plants, however, ...
  • BIOT 
    Biswas, Milon; Akhund, Tajim Md. Niamat Ullah; Ferdous, Most. Jannatul; Kar, Susmita; Anis, Adeeba; Shanto, Sadah Anjum (2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), IEEE, 2021-08-19)
    Despite what the media can have us to think, block chain has a broad range of applications outside of crypto currencies. From health resources to regulation, real estate, and finance, innovation is poised to transform a ...
  • Cinnamon as a Potential Feed Additive: Beneficial Effects on Poultry Health and Production Performances – An Update 
    A. V., Kaaviya; P., Hridya; Prasanth, Diya; D., Abernaa; P. S., Harisankaran; C. R., Hari Sankar; Rajan, Nithin S.; S., Karthik; J., Adinan; K. S., Abhijith; Krishnan, Rohith; Akash, Shopnil; Amin, Ruhul; Chakraborty, Sandip; Chopra, Hitesh; Dey, Abhijit; Sharma, Anil K.; Alagawany, Mahmoud; Dhama, Kuldeep; Chandran, Deepak (Horizon Publisher, 2023-06-30)
    According to the Food and Agricultural Organization, global poultry output increased from approximately 115 million tons in 2016 to around 136 million tons in 2023. Poultry production has increased significantly with the ...
  • Classifying Pepper Disease based on Transfer Learning 
    Haque, Imdadul; Islam, Md. Ashiqul; Roy, Koushik; Rahaman, Md. Mizanur; Shohan, Abdul Alim; Islam, Md. Saiful (Daffodil International University, 2022-06-25)
    Pepper is cultivated all over the world and many farmers' subsistence depends on these crops. But unfortunately, farmers who are involved in the cultivation of pepper, have to fall on a huge loss because of the low production ...
  • Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development 
    Saraswat, Anuj; Ram, Shri; Rahman, Mohamed A. E. Abdel; Raza, Md Basit; Golui, Debasis; HC, Hombegowda; Lawate, Pramod; Sharma, Sonal; Dash, Amit Kumar; Scopa, Antonio; Rahman, Mohammad Mahmudur (MDPI Publications, 2023-04-11)
    Soil fertility (SF) assessment is an important strategy for identifying agriculturally productive lands, particularly in areas that are vulnerable to climate change. This research focuses on detecting SF zones in Firozabad ...
  • A Comparative Analysis of CNN and Transfer Learning Approaches for Mango Leaf Disease Detection 
    Shayam, Shahriar Emon (Daffodil International University, 2024-01-01)
    The comparative analysis of CNN and transfer learning approaches delves into the application of agriculture, with the specific focus on mango leaf disease detection. The core objective of the study is to develop an ...
  • A Comparative Analysis of Deep Learning Approaches for Fish Disease Identification 
    Sadia, Mobassera Asma (Daffodil International University, 23-01-18)
    Bangladesh's fisheries and aquaculture industries play a significant role in the nation's food production, ensuring the food supply's nutritional security, growing agricultural exports, and employing 17 million people ...
  • A Comprehensive Guava Leaves and Fruits Dataset for Guava Disease Recognition 
    Rajbongshi, Aditya; Sazzad, Sadia; Shakil, Rashiduzzaman; Akter, Bonna; Sara, Umme (Daffodil International University, 2022-04-12)
    Guava (Psidium guajava) is a delicious fruit native to Mexico, Central or South America, and the Caribbean region. It's high in vitamin C, Calcium, Pectins and is a good source of fiber. Due to concerns with natural and ...

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