Digital Twins in agriculture: challenges and opportunities for environmental sustainability
出版年份 2023 全文链接
标题
Digital Twins in agriculture: challenges and opportunities for environmental sustainability
作者
关键词
-
出版物
Current Opinion in Environmental Sustainability
Volume 61, Issue -, Pages 101252
出版商
Elsevier BV
发表日期
2023-01-25
DOI
10.1016/j.cosust.2022.101252
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- A Survey on the Role of IoT in Agriculture for the Implementation of Smart Livestock Environment
- (2022) Muhammad Shoaib Farooq et al. IEEE Access
- The Role of FAIR Data towards Sustainable Agricultural Performance: A Systematic Literature Review
- (2022) Basharat Ali et al. Agriculture-Basel
- Cultivating FAIR principles for agri-food data
- (2022) Jan Top et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Impact of Climate Change on Agriculture and Its Mitigation Strategies: A Review
- (2021) Gurdeep Singh Malhi et al. Sustainability
- Use and Adaptations of Machine Learning in Big Data—Applications in Real Cases in Agriculture
- (2021) Ania Cravero et al. Electronics
- Digital twins in smart farming
- (2021) Cor Verdouw et al. AGRICULTURAL SYSTEMS
- Biomass for a sustainable bioeconomy: An overview of world biomass production and utilization
- (2021) Mohammed Antar et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities
- (2021) Sara Oleiro Araújo et al. Agronomy-Basel
- A systematic literature review on deep learning applications for precision cattle farming
- (2021) Md Sultan Mahmud et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Digital twin paradigm: A systematic literature review
- (2021) Concetta Semeraro et al. COMPUTERS IN INDUSTRY
- Sources of Greenhouse Gas Emissions in Agriculture, with Particular Emphasis on Emissions from Energy Used
- (2021) Piotr Gołasa et al. Energies
- Smart controlled environment agriculture methods: a holistic review
- (2021) S. Ragaveena et al. REVIEWS IN ENVIRONMENTAL SCIENCE AND BIO-TECHNOLOGY
- Machine Learning in Agriculture: A Comprehensive Updated Review
- (2021) Lefteris Benos et al. SENSORS
- Detection and Evaluation of Machine Learning Bias
- (2021) Salem Alelyani Applied Sciences-Basel
- How necessary and feasible are reductions of methane emissions from livestock to support stringent temperature goals?
- (2021) Andy Reisinger et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- A Digital Twin Architecture to Optimize Productivity within Controlled Environment Agriculture
- (2021) Jesus David Chaux et al. Applied Sciences-Basel
- Innovation systems and affordances in climate smart agriculture
- (2021) Harriet Elizabeth Smith et al. JOURNAL OF RURAL STUDIES
- Challenges of Commercial Aquaponics in Europe: Beyond the Hype
- (2020) Maja Turnsek et al. Water
- A review on dairy cattle farming: Is precision livestock farming the compromise for an environmental, economic and social sustainable production?
- (2020) Daniela Lovarelli et al. JOURNAL OF CLEANER PRODUCTION
- Review of digital twin about concepts, technologies, and industrial applications
- (2020) Mengnan Liu et al. JOURNAL OF MANUFACTURING SYSTEMS
- A systematic literature review on the use of machine learning in precision livestock farming
- (2020) Rodrigo García et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Aligning research with policy and practice for sustainable agricultural land systems in Europe
- (2019) Murray W. Scown et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- AgROS: A Robot Operating System Based Emulation Tool for Agricultural Robotics
- (2019) Naoum Tsolakis et al. Agronomy-Basel
- Assessment of digital technology adoption and access barriers among crop, dairy and livestock producers in Wisconsin
- (2019) Jessica L. Drewry et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Spatially and temporally explicit life cycle global warming, eutrophication, and acidification impacts from corn production in the U.S. Midwest
- (2019) Eun Kyung Lee et al. JOURNAL OF CLEANER PRODUCTION
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started