Unlocking the Potential of On-Farm Testing for Agriculture and Environment

  • Share this course:

Unlocking the Potential of On-Farm Testing for Agriculture and Environment

Reviews:

0 (0)

1073 475
  • Volume : 1 Issue : 2 2023
  • Page Number : 11-16
  • Publication : ISRDO

Published Manuscript

Title

Unlocking the Potential of On-Farm Testing for Agriculture and Environment

Author

1. Tuan Nguyen, Student, Vietnam National University of Agriculture, Vietnam

Abstract

The increasing interest among agriculturalists, agronomists, and the scientific community has fueled the expanding importance of on-farm research. On-farm research is not new, but its importance has grown because of the partnership between farmers and researchers from different industries and colleges. The scope and influence of on-farm research have increased due to the quick development of modern technology, tools, and analytical techniques coinciding with this popularity. Several papers in this special issue focus on using on-farm testing to improve socioeconomic for both the environment and the economy in both Africa and the Americas. In order to allow a more thorough understanding of on-farm research outcomes, unique collaboration frameworks for summarising, visualizing, and presenting research findings are also being developed. Innovative analytical techniques built on Bayesian hierarchical and multivariate analyses are also being developed to evaluate complex connections between management and farming practices. Furthermore, statistical parameter estimate techniques and the most productive experimental approaches have been evaluated using simulation methodologies. On-farm research directly leads to farmers' improved satisfaction, higher agricultural productivity, better economic outcomes, and increased application of conservation practices.

Keywords

on-farm research precision agriculture conservation practices statistical analysis agricultural productivity collaborative learning environmental sustainability

Conclusion

The growing attention from farmers, agronomists, and scientists has significantly enhanced the importance of on-farm research in recent years. Advances in technology and statistical methods have greatly benefited this research, often conducted in collaboration with farmers and professionals from various sectors. The papers in this special issue explore how on-farm testing impacts both environmental sustainability and economic viability in Africa and the United States. New cooperative frameworks and analytical methods like multivariate and Bayesian hierarchical analyses are being created to evaluate the intricate relationships between farming and management. Using modelling instruments, the most effective trial designs and statistical parameter estimate techniques are also found. Direct advantages of on-farm research include higher farmer satisfaction, better crop yields, better financial performance, and increased uptake of conservation measures.

In summary, combining technological advancements and collaboration among diverse stakeholders has amplified the significance of on-farm research. This research contributes to agricultural sustainability and outcomes, benefiting developed and developing regions. It underscores the importance of efficient data analysis and precision agricultural technology. On-farm research also promotes participatory learning, facilitating the adoption of conservation techniques. It is a critical tool for improving agricultural practices and achieving better economic and environmental results.

Author Contrubution

The author confirms sole responsibility for the following: study conception and design, data collection, analysis and interpretation of results, and manuscript preparation.

Funding

The authors did not receive any specific grants from funding agencies in the public, commercial, or non-profit sectors for the research, authorship, and/or publication of this article.

Conflict of Interest

All authors declare that they have no conflicts of interest.

Data Sharing Statement

Not applicable

Software And Tools Use

Not applicable

Acknowledgements

I thank the following individuals for their expertise and assistance in all aspects of our study and for their help in writing the manuscript. I am also grateful for the insightful comments given by anonymous peer reviewers. Everyone's generosity and expertise have improved this study in myriad ways and saved me from many errors.

Corresponding Author

TN
Tuan Nguyen

Vietnam National University of Agriculture, Student, Vietnam

Copyright

Copyright: ©2024 Corresponding Author. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Nguyen, Tuan. “Unlocking the Potential of On-Farm Testing for Agriculture and Environment.” Scientific Research Journal of Agriculture and Veterinary Science, vol. 1, no. 2, 2023, pp. 11-16, https://isrdo.org/journal/SRJAV/currentissue/unlocking-the-potential-of-on-farm-testing-for-agriculture-and-environment

Nguyen, T. (2023). Unlocking the Potential of On-Farm Testing for Agriculture and Environment. Scientific Research Journal of Agriculture and Veterinary Science, 1(2), 11-16. https://isrdo.org/journal/SRJAV/currentissue/unlocking-the-potential-of-on-farm-testing-for-agriculture-and-environment

Nguyen Tuan, Unlocking the Potential of On-Farm Testing for Agriculture and Environment, Scientific Research Journal of Agriculture and Veterinary Science 1, no. 2(2023): 11-16, https://isrdo.org/journal/SRJAV/currentissue/unlocking-the-potential-of-on-farm-testing-for-agriculture-and-environment

2553

Total words

1128

Unique Words

120

Sentence

20.45

Avg Sentence Length

0.26452696608947

Subjectivity

0.085741522366522

Polarity

Text Statistics

  • Flesch Reading Ease : 26.91
  • Smog Index : 15.6
  • Flesch Kincaid Grade : 14.2
  • Coleman Liau Index : 18.45
  • Automated Readability Index : 18.4
  • Dale Chall Readability Score : 9.57
  • Difficult Words : 613
  • Linsear Write Formula : 19.5
  • Gunning Fog : 12.94
  • Text Standard : 12th and 13th grade

Viewed / Downloads

Total article views: 281 (including HTML, PDF, and XML)
HTML PDF XML Total
169 55 57 281

Viewed (geographical distribution)

Total article views: 281 (including HTML, PDF, and XML)
Thereof 281 with geography defined and 0 with unknown origin.

No records found.