Assessment of yield and quality using hyperspectral vegetation indices
Budget: $250 – $750 USD
APPLICANTS WITHOUT THE PROPER EXPERTISE WILL NOT BE ACCEPTED.
Hi I am looking for a ghostwriter who has EXPERTISE IN REMOTE SENSING, HYPERSPECTRAL PROXIMAL SENSING, STATISTICS, MATHEMATICS (MACHINE LEARNING) and who has an appropriate knowledge of AGRONOMY/AGRICULTURE/CROP PHYSIOLOGY, and any other RELATED field to write a research paper on "assessment of yield and composition using hyperspectral vegetation indices".
The maximum length of the paper should be 20 pages including references, figures minimum 300 DPI, table editable, referencing style (no preference), and the deadline is 1-2 month max from now. All results (graphs and table including all appropriate caption, labelling etc..) should be generated by the ghostwriter using the dataset I will provide. My dataset consist of the target variables (yield and quality parameters) and the hyperspectral vegetation indices (already calculated from reflectance data). I will also share the weather data so appropriate weather graphs can be generated.
The project is strictly confidential and you will be required to sign a NDA.
An example of a similar paper which I want to follow is attached please have a look before reverting back. Also, I would appreciate if you can please inbox me your publications, if any, so I can have an idea of your research expertise and writing.
Thank you
Hi I am looking for a ghostwriter who has EXPERTISE IN REMOTE SENSING, HYPERSPECTRAL PROXIMAL SENSING, STATISTICS, MATHEMATICS (MACHINE LEARNING) and who has an appropriate knowledge of AGRONOMY/AGRICULTURE/CROP PHYSIOLOGY, and any other RELATED field to write a research paper on "assessment of yield and composition using hyperspectral vegetation indices".
The maximum length of the paper should be 20 pages including references, figures minimum 300 DPI, table editable, referencing style (no preference), and the deadline is 1-2 month max from now. All results (graphs and table including all appropriate caption, labelling etc..) should be generated by the ghostwriter using the dataset I will provide. My dataset consist of the target variables (yield and quality parameters) and the hyperspectral vegetation indices (already calculated from reflectance data). I will also share the weather data so appropriate weather graphs can be generated.
The project is strictly confidential and you will be required to sign a NDA.
An example of a similar paper which I want to follow is attached please have a look before reverting back. Also, I would appreciate if you can please inbox me your publications, if any, so I can have an idea of your research expertise and writing.
Thank you