An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
This track focuses on the development and application of advanced statistical techniques tailored for agricultural research. Participants will explore methodologies that enhance data analysis and interpretation in the context of agricultural studies.
This session examines statistical approaches to evaluate sustainable agricultural practices and their socio-economic impacts. Discussions will include case studies and models that assess the effectiveness of sustainability initiatives in agriculture.
This track highlights the role of data analytics in informing decision-making processes within the agribusiness sector. Participants will share insights on leveraging statistical data to optimize market strategies and enhance value chains.
This session addresses the statistical analysis of climate change impacts on agriculture and the effectiveness of adaptation strategies. Researchers will present findings on how statistical models can inform policy and practice in response to environmental challenges.
This track explores the intersection of agricultural statistics with rural development and social equity. Presentations will focus on statistical assessments of poverty alleviation and community development initiatives in agricultural contexts.
This session focuses on the statistical evaluation of natural resource use in agricultural practices. Participants will discuss methodologies for assessing resource efficiency and sustainability in farming systems.
This track investigates the statistical analysis of market trends and price fluctuations in the agribusiness sector. Researchers will present models that forecast market behavior and inform pricing strategies.
This session emphasizes the importance of data quality and integration in agricultural statistics. Discussions will cover best practices for data collection, validation, and integration to enhance research outcomes.
This track explores the application of information technology tools in managing agricultural data. Participants will share innovations in data collection, storage, and analysis that improve agricultural research efficiency.
This session focuses on the role of statistical modelling in shaping agricultural policies. Researchers will present case studies demonstrating how statistical insights can inform effective policy-making in agriculture.
This track addresses the challenges and strategies in disseminating agricultural statistics to various stakeholders. Participants will discuss effective communication techniques that enhance understanding and utilization of statistical data in agriculture.