Peer Review History: Evaluation of YOLOv10n for Tomato Plant and Weed Detection in Agricultural Fields Using a Lightweight Deep Learning Approach

Editor(s):

(1) Dr. Fatemeh Nejatzadeh, Islamic Azad University, Iran.

Reviewers:

(1) Suraiya Yasmin, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh.

(2) Parbati Thapa, USA.

Additional Reviewers:

Additional Reviewers: (Comments received after deadline)

Open Peer Review Policy: Click Here

Specific Comment:

Average Peer review marks at initial stage: 8/10

Average Peer review marks at publication stage: 9/10

Peer Review History:


Stage 1 | Original Manuscript | File 1 | NA


Stage 2 | Peer Review Report_1 (Suraiya Yasmin, Bangladesh) | File 1 | NA


Stage 2 | Peer Review Report_2 (Parbati Thapa, USA) | File 1 | NA


Stage 2 | Revised_MS_v1_and_Feedback_v1 | File 1 | File 2


Stage 3 | Comment_Editor_1_v1 | File 1 | NA


Posted in Review History.