Identifying Nematode Damage on Soybean through Remote Sensing and Machine Learning Techniques
, Leonardo Mendes Bastos 2,3, Mailson Freire de Oliveira 1,4, Pedro Luiz Martins Soares 5, Ignacio Antonio Ciampitti 2 and Rouverson Pereira da Silva 1Round 1
Reviewer 1 Report
The work presented for review contains very important and practical content. The presented method will be an indispensable element in the early diagnosis of crops against nematode threats in the future. The possibility of common use of indicators is very important. Thus, as the authors themselves noticed, the proposed method of diagnosis still requires further additions (abiotic and biotic factors) to be widely used. The work is written very carefully, any shortcomings are marked in the typewritten text with a request to respond to them.
Comments for author File: 
Comments.pdf
Author Response
We would like to thank you for your thoughtful comments and efforts toward improving our manuscript. In the following, we addressed the general corrections and our responses to each one, along with our manuscript with track changes.
Author Response File: Author Response.pdf
Reviewer 2 Report
1. The title via is not looked like an academic paper.
2. In abstract: and three options for data input using only bands, only vegetation indices (Vis), Line 25 - why need only words there? two times only. Please remove.
3. What is the difference between vegetation indices (VIs) and vis? be consistent.
4. What do you mean by best discriminate? Avoid the best word! Should use, eg: accuracy/tangible word.
5. Line 48- time- and labor-intensive (please correct)
6. , 45, 40, and 30 sampling points not same why? - please explain Line 125
7. Zenmuse RGB Camera - please provide the country and company that produce the sensor just the way you write multispectra.
8. Flights were performed between 10 a.m. and 2 p.m., at the R1 soybean growth stage - why? please explain.
9. You mention the biomass. Do you have any explanation of how to measure the biomass?
10. Please include the soybean application from the literature to compare with your result in the discussion.
Author Response
We would like to thank you for your thoughtful comments and efforts towards improving our manuscript. In the following, we addressed the general corrections and our responses to each one, along with our manuscript with track changes.
Author Response File: Author Response.pdf
