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Browsing by Subject "Agriculture"

Browsing by Subject "Agriculture"

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  • Fuzzy Logic, Geostatistics, and Multiple Linear Models To Evaluate Irrigation Metrics and Their Influencing Factors in a Drought-Prone Agricultural Region 
    Zihad, S.M. Rabbi Al; Islam, Abu Reza Md Towfiqul; Siddique, Md Abu Bakar; Mia, Md Yousuf; Islam, Md Saiful; Islam, Md Aminul; Bari, A.B.M. Mainul; Bodrud-Doza, Md.; Yakout, Sobhy M.; Senapathi, Venkatramanan; Chatterjee, Sumanta (Springer, 2023-10-01)
    The quality of water used for irrigation is one of the major threats to maintaining the long-term sustainability of agricultural practices. Although some studies have addressed the suitability of irrigation water in different ...
  • Gamma-Ray Spectrometric Analysis of Bore-Well Rock Samples From Agricultural Area of Tamil Nadu 
    Poongodi, G.; Chandrasekaran, A.; Sathish, V.; Karthikayini, S.; Tamilarasi, A.; Khandaker, Mayeen Uddin (Elsevier, 2023-10-06)
    Natural gamma radiation exposure to humans can possess significant health risks when exposed either externally or internally. Though risks are not established at low doses, the exposure levels are set based on conservative ...
  • GingerBangla: A Supervised Machine Learning Approach for Predicting Ginger Yield using Bangladeshi Climate Data 
    Iqbal, Lamia Binte; Rukhsara, Lamia; Sarker, Md Mahfujur Rahman; Mamun, Shahriar (IEEE, 2023-11-23)
    Ginger (Zingiber officinale) farming is an important part of Bangladesh's agriculture, and it also contributes significantly to the country's economy. Accurate prediction of ginger yield is essential for farmers, and ...
  • GRAMMO 
    Hossain, Abu Al Ibna (Daffodil International University, 22-11-21)
    Bangladesh is an agricultural country. Her economy mainly depends on agriculture. In village most of the family depends on agriculture. After freedom farming area was Bangladesh's super monetary main thrust. That time the ...
  • Identifying Factors Affecting Irrigation Metrics in the Haor Basin Using Integrated Shannon’s Entropy, Fuzzy Logic and Automatic Linear Model 
    Mia, Md Yousuf; Islam, Abu Reza Md Towfiqul; Jannat, Jannatun Nahar; Jion, Most Mastura Munia Farjana; Sarker, Aniruddha; Tokatli, Cem; Siddique, Md Abu Bakar; Ibrahim, Sobhy M.; Senapathi, Venkatramanan (Elsevier, 2023-06-01)
    The sustainability of agricultural practices is seriously threatened by the quality of water used for irrigation. This paper aims to evaluate the suitability of irrigation water and identify the region suitable for ...
  • IFSG 
    Salehin, Imrus; Noman, S. M.; Ul-Islam, Baki; Lopa, Israt Jahan; Angon, Prodipto Bishnu; Habiba, Ummya; Moon, Nazmun Nessa (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    The agricultural and technological combination is blessed for modern world life. Internet of things (IoT) is essential for comfort and development to our agriculture side. In our study, we detected the various pest using ...
  • 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 ...
  • Implementation of Deep Learning Methods to Identify Rotten Fruits 
    Chakraborty, Sovon; Shamrat, F.M. Javed Mehedi; Billah, Md. Masum; Jubair, Md. Al; Alauddin, Md.; Ranjan, Rumesh (2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), IEEE, 2021-06-21)
    Mostly in the agriculture sector, identifying rotten fruits has been critical. The classification of fresh and rotting fruits is typically carried out by humans, which is ineffective for fruit growers. Humans wear out by ...
  • Implementation of Smart Indoor Agriculture System and Predictive Analysis 
    Uddin, Md. Salah; Asaduzzaman, Md.; Farzana, Rafia; Hasan, Md. Samaun; Rahman, Mizanur; Allayea, Shaikh Muhammad (Communications in Computer and Information Science, Springer, 2019-07-20)
    Day by day Indoor Agricultural system is becoming more popular and enhancing agricultural productivity. Smart agriculture systems call on different type of Internet of Things (IOT) capabilities to improve farming production ...
  • An In-Depth Exploration of Automated Jackfruit Disease Recognition 
    Habib, Md. Tarek; Mia, Md. Jueal; Uddin, Mohammad Shorif; Ahmed, Farruk (Daffodil International University, 2022-05-05)
    Bangladesh extensively depends on agriculture for the economy as well as food security owing to its huge population. In this connection, it becomes very important to efficiently grow plants and increase their yields. ...
  • IoT Based Automated Monitoring System for the Measurement of Soil Quality 
    Proshad, Pratoy Kumar; Bajla, Anish; Srijon, Adib; Talukder, Rituparna (Daffodil International University, 2022-01-20)
    Agriculture has long been the principal source of income in our country. However, agriculture is being hampered as a result of people migrating from rural to urban areas. The purpose of the study is to make a device that ...
  • IOT Based Smart Irrigation System 
    Munna, Md. Sakib Raihan; Nandi, Pranta Kumar; Hossain, Shahadat; Khan, Aushiur Rahman (Daffodil International University, 2023-11-12)
    The smart irrigation system is an innovative solution aimed at addressing the growing challenges in the agricultural sector, particularly water scarcity and inefficient irrigation practices. This research project was ...
  • IoT-Based Low-Cost Automated Irrigation System for Smart Farming 
    Akhund, Tajim Md. Niamat Ullah; Newaz, Nishat Tasnim; Zaman, Zahura; Sultana, Atia; Barro, Alistair; Whaiduzzaman, Md. (Springer, 2022-05-13)
    In this research, we present a low-cost intelligent irrigation system for farming. Nowadays, farming is shifted to automated and remote monitoring and management systems integrated with Cloud, Fog, and IoT networks. Our ...
  • Krishi Sohayota 
    Rahman, Habibur (Daffodil International University, 22-11-08)
    In the era of Digital Bangladesh, we are not providing enough our agriculture as much it needed though we are mostly depended on farmer for our regular need and also in aspect of exporting crops. As a result, our farmers ...
  • Krishoker Hasi 
    Sajib, Md Saiful Islam (Daffodil International University, 2019-12-18)
    People are becoming self-centered now-a-days. For passing more times with technological devices, they have less time to know the people around them and their problems. This system will be useful for eliminating the misery ...
  • Leaves Diseases Detection of Tomato Using Image Processing 
    Mim, Tahmina Tashrif; Sheikh, Md. Helal; Shampa, Roksana Akter; Reza, Md. Shamim; Islam, Md. Sanzidul (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019, IEEE, 2020-06)
    Today's era is an era of Scientific Development. Where, technologies and new ways of solving real-life problems are being invented every day. With the increasing population of the world, basic need of food is increasing ...
  • 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. ...
  • Magnet Integrated Fabric Phase Sorptive Extraction as a Stand-Alone Extraction Device for the Monitoring of Benzoyl Urea Insecticides in Water Samples by HPLC-DAD 
    Antoniou, Georgios; Alampanos, Vasileios; Kabir, Abuzar; Zughaibi, Torki; Furton, Kenneth G.; Samanidou, Victoria (Daffodil International University, 2022-06-03)
    Benzoyl urea insecticides are a class of pesticides used in agriculture for the inhibition of chitin synthesis in pests. These compounds are persistent in environmental samples, and thus their monitoring is necessary to ...

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