UAV multispectral sensing and data-driven modeling for precision onion yield prediction
Sagar M. Wayal, Shardul Parab, Anusha Raj, Kiran Khandagale, Sanket Bhegde, Mukund Dawale, Indira Bhangare, Mahesh Khaire, Yogesh Kadam, Zafar Shaikh, V. Karuppaiah, Pranjali Gedam, Bhushan Bibwe, Sanket J. More, Lakesh K. Sharma, Vijay Mahajan, Suresh J. Gawande · 2026
Read UAV multispectral sensing and data-driven modeling for precision onion yield prediction by Sagar M. Wayal, Shardul Parab, Anusha Raj, Kiran Khandagale, Sanket Bhegde, Mukund Dawale, Indira Bhangare, Mahesh Khaire, Yogesh Kadam, Zafar Shaikh, V. Karuppaiah, Pranjali Gedam, Bhushan Bibwe, Sanket J. More, Lakesh K. Sharma, Vijay Mahajan, Suresh J. Gawande (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12921482.txt.
Description
Sagar Wayal and a large team use drone imagery to predict onion yields, in a 2026 paper. Drones with multispectral cameras can track crop growth across a field over time. The study covered rainy-season onions planted on four staggered dates, with images taken at key growth stages.
The team extracted plant indices from the images and trained five learning models to predict bulb yield. Random forest won at every growth stage, with its best results at the bulb development stage. A support vector model also generalized well. Performance varied by year, with the later year's data giving better models. The authors back drone sensing for precision farming.
Catalog record
| CREATOR | Sagar M. Wayal, Shardul Parab, Anusha Raj, Kiran Khandagale, Sanket Bhegde, Mukund Dawale, Indira Bhangare, Mahesh Khaire, Yogesh Kadam, Zafar Shaikh, V. Karuppaiah, Pranjali Gedam, Bhushan Bibwe, Sanket J. More, Lakesh K. Sharma, Vijay Mahajan, Suresh J. Gawande |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 70 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |