Information distortion mediates by cognitive rationality that induces price hikes and panic buying.

Kabir Md Shahriar,Ko, Ilsang 한국경영정보학회 2022 한국경영정보학회 학술대회논문집 Vol.2022 No.6

3D LiDAR-based Quantification of Phenotypic Traits and Land Characteristics in Rice Farming

( Md Rejaul Karim ),( Mohammod Ali ),( Shahriar Ahmed ),( Md Shaha Nur Kabir ),( Md Nasim Reza ),( Justin Sung ),( Sun-ok Chung ) 한국농업기계학회 2023 한국농업기계학회 학술발표논문집 Vol.28 No.2

Phenotypic and land characteristics information plays a crucial role in effective management of rice farming. The utilization of LiDAR based object recognition as well as visualization provides a rapid and precise assessment of the phenotypic traits of rice plants. This study aimed to quantify the rice plant phenotypic and land characteristics using a 3D LiDAR. A data collection structure made of aluminum profile and a LiDAR sensor (i.e., VLP-16) mounted on the structure was used to collect 3D point cloud data from rice field. A rice field of RDA at Iksan in Korea was selected for data acquisition. Ten numbers of small plots considering the area of LiDAR data frames exhibiting diverse plant height, shapes, and sizes were randomly selected. From each LiDAR scanned data frame, a region of interest (RoI) segmented for sensor based processing and measurements. Commercial software utilized for segmentation and python-based programing codes also applied to process the collected data for visualization and measurements. The accuracy of the estimated outputs from the point cloud was evaluated by comparison with measured values collected randomly from ten spots remaining in the sensor-based data frame. The estimated plant heights from the point cloud were 0.84±0.03 m, while the measured heights were 0.77±0.03 m. The root mean square error (RMSE) for plant height estimation was 0.08 m, and the simple linear coefficient of determination (r²) was 0.88. Regarding the segment wise canopy volume, point cloud estimations were 1.01±0.06 m³, compared to the measured volume of 1.18±0.03 m³. The RMSE for canopy volume estimation was 0.18 m³, with r² of 0.87, indicating a high level of accuracy. For hill-to-hill distance and intra-row spacing, the point cloud measurements were 0.35±0.01 m, and 0.34±0.02 m, respectively, while the measurements were 0.30±0.03 m, and 0.30±0.03 m, respectively. The RMSE and r² for hill to hill distance were 0.04 m and 0.92, respectively, and for row distance, 0.03 m and 0.87, respectively. Despite minor differences, there was a strong relationship and close agreement between the estimation using point cloud data and measurements. The findings highlight the reliability and efficiency of the 3D LiDAR technology for accurately measuring phenotypic traits and land characteristics for maximizing rice cultivation.

Thermal imaging and computer vision technologies for the enhancement of pig husbandry: a review

Md Nasim Reza,Md Razob Ali,Samsuzzaman,Md Shaha Nur Kabir,Md Rejaul Karim,Shahriar Ahmed,Hyunjin Kyoung,김국환,Sun-Ok Chung 한국축산학회 2024 한국축산학회지 Vol.66 No.1

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.

Domestic or Multinational penetration strategy of E-commerce Markets: Comparing Daraz.com.bd & Bikroy.com in Bangladesh

Kabir Md Shahriar,Mondol Sonjit Kumer,고일상 한국인터넷전자상거래학회 2023 인터넷전자상거래연구 Vol.23 No.1

Shopping online has also become a new trend as a result of the recent pandemic COVID 19, which has significantly altered consumer purchasing habits and improved public acceptability. However, some e-commerce is still having trouble in achieving satiation while other businesses are growing quickly. Bikroy.com and Daraz.com are Bangladeshi e-commerce platforms where buyers and sellers can connect and exchange things online. These websites were launched in Bangladesh in 2012 and 2015, respectively. Both E-commerce advertises their goods and services on social media platforms like Facebook, Instagram, etc. as m-commerce increasingly gains popularity in Bangladesh. Two examples worth mentioning are Daraz's social media promotion of 15% cash back for Nagad/Bkash Payments and Bikroy’s “Stay Safe in Bikroy.com”. The purpose of the study is to contrast these two e-commerce companies in order to demonstrate why some, like Bikroy, have had trouble attracting customers despite having formerly been the industry leader and a quick mover. At the same time, Daraz.com has experienced significant growth in popularity in the Bangladeshi market despite receiving several product quality complaints. This study uncovers the best business model- and advertising-focused market strategies are most successful in a global setting. Penetration into another marketplace demands the companies to design and implement proper targeting, penetration strategy, business model analysis, and market analysis, and by following the current trend social media marketing strategy. The research provides valuable insights about potential strategies for global reach and different approaches to implement those strategies and recommendations for e-commerce businesses in Bangladesh and contributes to the understanding of e-commerce in developing countries. And Bikroy.com focuses on customer satisfaction while Daraz.com.bd is a cost-driven and value-driven business with a larger revenue and resources and despite challenges, e-commerce has potential in Bangladesh.

Voice Recognition Technologies: Comparative Analysis and Potential Challenges in Future Implementation

Mamta Devi,Kabir Md Shahriar,고일상 한국인터넷전자상거래학회 2023 인터넷전자상거래연구 Vol.23 No.6

This comprehensive study delves into the current landscape of Voice Recognition Technologies (VRT), focusing on trends, implementation practices, and the challenges faced by users. Google Assistant, Amazon’s Alexa, and Apple’s Siri serve as pivotal subjects, providing a foundational basis for examination. The research commences with an extensive literature review, meticulously filtering and streamlining relevant literature on the subject. Employing a qualitative approach, the study conducts open-ended interviews, posing ten main questions directly linked to the central theme. The qualitative analysis is complemented by academic evidence in the final chapters, ensuring a robust foundation for the study's outcomes. The findings underscore the significant technological strides made by voice recognition; however, challenges persist, including hands-free connectivity, privacy and security concerns, and the issue of voice imprinting. These challenges, identified through user experiences and theoretical insights, illuminate the path for future research and development, guiding the evolution of VRT towards a more seamless, secure, and user-friendly future. This research not only contributes to academic knowledge but also holds practical implications for technology experts, policymakers, and businesses, paving the way for informed decision-making and innovation in the dynamic field of voice recognition.