Solar farm depicted
Rentadrone: Using aerial thermal imagery and machine learning for clean energy and agriculture uses
investment Stage
Growth Stage
investment status
country of registration
founding year
Female Founded

Rentadrone is proposing a method for increasing energy efficiency and improving performance of solar farms. The solution will aim to improve the current way of detecting, classifying, and locating the errors and damaged modules in Solar Power Plants through building an automated and open source solution to process thermal (infrared) and visual (RGB) drone‐collected‐data with machine learning technology.First Drone Cohort 2019

During the 12 month investment period, Rentadrone will incorporate machine learning technology to automatically detect damage on modules and classify them between the most common types of failures. They will also be exploring an alternate use-case of thermal imagery for agriculture and will collect and label aerial photos of crops for an agriculture use-case which will be used to automatically detect diseases on crops.

Alignment with unicef strategic areas
WASH, environment and climate
Funding recieved by company

91.2 K usd

Early-Stage Funding
Investment Made:2019 Status:graduated

73.2 eth

12 eth

23.31 eth

Growth-Stage Funding
Investment Made:2022 Status:active

Achievements to date

Early-stage Graduation Status
DPG Status

stories related to this solution

Rentadrone Multispectral UAV
Portfolio News
Apr 13 , 2021