Paper writing
Budget: $250 – $750 USD
IMPORTANT: WILL ONLY HIRE FREELANCERS WHO HAVE PUBLICATIONS IN SAME FIELD OR SIMILAR FIELD IN PEER REVIEWED JOURNALS AND WHO CAN PROVE IT BY EITHER THEIR GOOGLESCHOLAR PROFILE, SCOPUS OR ORCID ID. YOU MUST ALSO HAVE ACCESS TO JOURNALS ARTICLES.
<<CANDIDATES NOT FULFILLING THESE PLEASE DON'T BOTHER APPLYING THANKS>>
please forward me via message your publications so I have an idea of your research & writing skills
Hi,
I would like to hire someone to write a research article on the following:
Investigating a Selection of Methods for the Prediction of crop yield and quality Using hyperspectral vegetation indices.
Max pages is 20 including references.
Please note that the code is ready and most of the results (graphs and tables) are already generated. There might be some minor debugging for the code to be done. You will be required to write the full scientific manuscript. All figures should be in jpeg, tiff or png format with a minimum of 300 DPI and all tables should be editable. Figures copied from elsewhere should be properly referenced in the figure caption. References should be Harvard author date or any other style as long as consistency is maintained. References and bibliography should be inserted using Mendeley or EndNote or any other referencing software. The document should be written in Microsoft word ideally.
I am looking for someone with remote sensing, GIS, machine learning and related skills. Deadline for work is 1 month from now
thanks
kindly let me know your price, thanks. I cannot fund more than $750.
Note that full authorship of the paper will be mine as well as other paper rights. I will submit an NDA so confidentiality is maintained and no information shall be disclosed, shared, sold, distributed or published.
VERY IMPORTANT: CONFIDENTIALITY SHOULD BE STRICTLY MAINTAINED AND ANY DATASET WHICH WILL BE SHARED WITH YOU FOR THE PROJECT SHOULD BE DELETED AFTER THE PROJECT IS COMPLETED.
Will fund in two or more milestone.
Example of a similar research paper:
https://www.sciencedirect.com/science/article/pii/S0168169922006755
https://www.frontiersin.org/articles/10.3389/fpls.2021.683078/full
https://www.mdpi.com/2072-4292/11/7/740
<<CANDIDATES NOT FULFILLING THESE PLEASE DON'T BOTHER APPLYING THANKS>>
please forward me via message your publications so I have an idea of your research & writing skills
Hi,
I would like to hire someone to write a research article on the following:
Investigating a Selection of Methods for the Prediction of crop yield and quality Using hyperspectral vegetation indices.
Max pages is 20 including references.
Please note that the code is ready and most of the results (graphs and tables) are already generated. There might be some minor debugging for the code to be done. You will be required to write the full scientific manuscript. All figures should be in jpeg, tiff or png format with a minimum of 300 DPI and all tables should be editable. Figures copied from elsewhere should be properly referenced in the figure caption. References should be Harvard author date or any other style as long as consistency is maintained. References and bibliography should be inserted using Mendeley or EndNote or any other referencing software. The document should be written in Microsoft word ideally.
I am looking for someone with remote sensing, GIS, machine learning and related skills. Deadline for work is 1 month from now
thanks
kindly let me know your price, thanks. I cannot fund more than $750.
Note that full authorship of the paper will be mine as well as other paper rights. I will submit an NDA so confidentiality is maintained and no information shall be disclosed, shared, sold, distributed or published.
VERY IMPORTANT: CONFIDENTIALITY SHOULD BE STRICTLY MAINTAINED AND ANY DATASET WHICH WILL BE SHARED WITH YOU FOR THE PROJECT SHOULD BE DELETED AFTER THE PROJECT IS COMPLETED.
Will fund in two or more milestone.
Example of a similar research paper:
https://www.sciencedirect.com/science/article/pii/S0168169922006755
https://www.frontiersin.org/articles/10.3389/fpls.2021.683078/full
https://www.mdpi.com/2072-4292/11/7/740
Related categories:
Machine Learning (ML)
Remote Sensing
Geospatial
Artificial Intelligence
Deep Learning