Browsing by Author "Asaduzzaman, Md"

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A Web Based Application for Agriculture
(International Journal of Emerging Trends in Engineering Research, 2020-06) Shamrat, F. M. Javed Mehedi; Asaduzzaman, Md; Ghosh, Pronab; Sultan, Md Dipu; Tasnim, Zarrin
Bangladesh is predominantly an agricultural country, where agriculture sector plays a vital role in accelerating the economic growth. Agriculture remains the most important sector of Bangladeshi economy, contributing 19.6 percent to the national GDP and providing employment for 63 percent of the population. A National Agricultural Census report has said Bangladesh is currently home to 16.5 million farmer families. The report also highlighted the fact that there over four million landless farmers, with near 6.8 million farmers cultivating other people's land. To help the farmers and improve in agricultural sector, we design and develop a web based application "Smart Farming System". Farmers of Bangladesh can learn and share various knowledge and problem facing during farming through this system. Farmers can acquire information around various diseases and resolver on their problems. They can get support in various agricultural activities, by the help of the consultants and doctors through the "Smart Farming System". To develop this system we used HTML5, CSS, Bootstrap, and JavaScript. In addition, the PHP framework is used to manage the MySQL database. In testing phase, we tested it with a community based social media on Facebook and its work great with expecting output, peoples are expecting these services to be interesting.
Detecting Network Intrusions: Leveraging Neural Networks for Real-Time Anomaly Detection
(Daffodil International University, 2025-12-27) Asaduzzaman, Md
The rapid-fire growth of ultramodern network architectures, driven by IoT bias, pall-edge ecosystems, and high-speed communication technologies, has boosted the need for intrusion discovery systems able of operating in real time. Traditional hand-grounded IDS struggle to identify zero-day attacks, while numerous deep literacy models remain too computationally precious for deployment on resource-constrained platforms. This thesis presents a comprehensive intrusion discovery frame that combines featherlight neural networks, ONNX-optimized conclusion, temporal correlation analysis, and gradeboosting bracket to achieve effective, interpretable, and real-time trouble discovery. The first element introduces a compact neural network armature optimized through ONNX runtime and dynamic quantization to deliver sub-5 ms conclusion performance. Experimental evaluation on the UNSW-NB15 dataset demonstrates an average conclusion quiescence of 0.205 ms, achieving a nearly sixty-fold enhancement over LSTM-grounded nascence's. Although the system processes roughly 1389 packets per second, farther optimization of packet-sluice running is needed to completely meet highoutturn enterprise conditions. To strengthen conception against unseen pitfalls, a temporal-correlation characteristic medium is incorporated, enabling the frame to descry over 95% of zero-day attack patterns by using successional behavioral diversions rather than static point autographs. Completing the anomaly sensor, an XGBoostgrounded classifier is trained on CIC-IDS- 2017 business, achieving 99.61% delicacy and an F1-score of 0.98, therefore establishing a high-perfection birth for supervised intrusion discovery. Point-significance analysis identifies the most influential flux attributes, enabling a 30% reduction in point dimensionality without significant performance loss. It helps to improve quickly-drawn conclusions as well as better understandability of deep neural methods which are known for being a "black box" and have been the main shortcoming of these methods. Overall, the proposed frame successfully integrates real-time anomaly discovery, zero-day rigidity, and soluble machine knowledge. The study showed that by utilizing lightweight neural networks (feathery) in conjunction with classifiers using grade-boosting provide a practical and scalable approach for next generation intrusion detection systems for use in current network environments. Future research will focus on incorporating incremental learning, improving the ability to model time, and implementing the system on an actual edge device for real world testing.
Editorial: Agrochemicals in agricultural and non-agricultural settings: fate, distribution, and potential human and environmental health hazards
(Frontiers, 2024-07-26) Islam, Md Meftaul; Islam, Md Meftaul; Megharaj, Mallavarapu; Asaduzzaman, Md; Sudharsanam, Abinandan
Agrochemicals in agricultural and non-agricultural settings: fate, distribution, and potential human and environmental health hazards Global concerns over the extensive use of agrochemicals, including pesticides, herbicides, and fertilizers, have intensified due to their significant impacts on ecological and human health (Parven et al., 2024). Agrochemicals are widely used in agricultural and non-agricultural settings to enhance productivity and manage pests, but their improper use and persistence in the environment pose serious risks (Ramakrishnan et al., 2019). The articles in this Research Topic delve into various aspects of agrochemical use, highlighting the need for innovative approaches to mitigate their adverse effects. He et al. presents an evolutionary game approach to promoting the reduction of pesticide and fertilizer use by agricultural enterprises. This study analyses the decision-making processes of different stakeholders, including the government, agricultural enterprises, and consumers, under varying influencing factors. The findings suggest that reward measures by the government significantly impact the adoption of sustainable practices by agricultural enterprises. This research provides valuable insights into policy mechanisms that can encourage the reduction of agrochemical use, contributing to food safety and environmental protection. Chen et al. focus on the residue determination and dietary risk assessment of mesotrione, nicosulfuron, atrazine, and its metabolites in maize. Using advanced analytical methods, this study evaluates the residues of these herbicides in maize from different locations in China and assesses the chronic dietary risks. The results indicate that the residues are within acceptable limits, guiding the rational use of these herbicides to ensure safe maize production. This research underscores the importance of monitoring and managing agrochemical residues to protect human health. Dione et al. investigate the levels of pesticide residues in tomatoes sold in urban markets of Ouagadougou, Burkina Faso. This study reveals significant contamination, with a high percentage of samples containing residues of commonly used pesticides, some exceeding maximum residue levels. The findings highlight the urgent need for better pesticide regulation and consumer safety measures to address the health risks associated with pesticide residues in vegetables. This research emphasizes the importance of stringent monitoring and regulation of pesticide use in urban agriculture. Phan et al. examine the pesticide regulatory environment for pollinator protection across different geographical regions. Comparing approaches in the United States, the European Union, and selected Asian countries, this perspective highlights the diverse regulatory frameworks and their effectiveness in safeguarding pollinators. The study advocates for comprehensive and proactive pesticide regulations to mitigate non-target risks and protect pollinator populations. This research is crucial for informing global pesticide policies and promoting sustainable agricultural practices. The articles in this Research Topic collectively address the complex challenges associated with agrochemical use in various settings. They emphasize the need for integrated pest management practices, innovative policy mechanisms, and robust regulatory frameworks to ensure the safe and sustainable use of agrochemicals. By understanding the fate and distribution of these chemicals and their potential health and environmental impacts, we can develop strategies to mitigate risks and promote a healthier future for both humans and ecosystems. In conclusion, while agrochemicals have played a vital role in enhancing agricultural productivity, their widespread use presents significant challenges. The research presented in this Research Topic provides valuable insights into the risks associated with agrochemicals and offers potential solutions to address these challenges. It is imperative to continue exploring sustainable alternatives and regulatory measures to safeguard human health and the environment.