Prediction of yield and quality using hyperspectral vegetation indices and machine learning techniques -- 2

Job ID: 36467682

Budget: $250 – $750 USD

IMPORTANT: WILL ONLY HIRE FREELANCERS WHO HAVE PUBLICATIONS IN SAME FIELD OR SIMILAR FIELD.

please forward me via message your publications so I have an idea of your research & writing skills

Hi,

I would like to hire a ghostwriter to write a research article on the following:

Estimating crop yield and quality from Hyperspectral Vegetation Indices Using Deep Learning/Machine Learning".

I have the dataset which consist of the target variables (crop yield and quality parameters) which needs to be predicted from the independent variables (the hyperspectral vegetation indices I already calculated).

Max pages is 20 including references.
Please let me know how much will it cost for you to implement the code, get the results (graphs and tables) and 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 2 months from now
thanks

kindly let me know your price, thanks.

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.

Example of a similar research paper:

https://www.mdpi.com/2072-4292/11/7/740