2024
Towards Autonomous Crop Monitoring: Inserting Sensors in Cluttered Environments
RA-L 2024
Monitoring crop nutrients can aid farmers in optimizing fertilizer use. Many existing robots rely on vision-based phenotyping, however, which can only indirectly estimate nutrient deficiencies once crops have undergone visible color changes. We present a contact-based phenotyping robot platform that