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This paper presents a high-throughput method for Above Ground Estimation of Biomass (AGBE) in rice using multispectral near-infrared (NIR) imagery captured at different scales of the crop. By developing an integrated aerial crop monitoring solution using an Unmanned Aerial Vehicle (UAV), our appr...


Devia, Carlos A.Rojas, Juan P.Petro Páez, Eliel EnriqueMartínez, CarolMondragon, Ivan F.Patino, D.Rebolledo, María CamilaColorado, J.[High-Throughput Biomass Estimation in Rice Crops Using UAV Multispectral Imagery]High-Throughput Biomass Estimation in Rice Crops Using UAV Multispectral Imagery

In Colombia up to 40% of yield variability is due to the effects of climate variations. Rapid phenotyping methods are needed to properly assess the crop and improve production rates. In this paper, we propose to focus on developing a noninvasive system for speeding up monitoring tasks in rice cro...


Rojas, Juan P.Devia, Carlos A.Petro, ElielMartínez, CarolMondragon, Ivan F.Patino, D.Rebolledo, María CamilaColorado, J.[Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring]Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring

This paper presents the integration of an UAV for the autonomous monitoring of rice crops. The system integrates image processing and machine learning algorithms to analyze multispectral aerial imagery. Our approach calculates 8 vegetation indices from the images at each stage of rice growth: veg...


Devia, Carlos AndresRojas Bustos, Juan PabloPetro, Eliel E.Mondragon, Iván FernandoPatino, D.Rebolledo, C.Colorado, Julian[Aerial Monitoring of Rice Crop Variables using an UAV Robotic System]Aerial Monitoring of Rice Crop Variables using an UAV Robotic System

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