Aerial Monitoring of Rice Crop Variables using an UAV Robotic System
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: vegeta...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
INSTICC
2019
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/105568 |
Similar Items: Aerial Monitoring of Rice Crop Variables using an UAV Robotic System
- Multispectral imaging: an effective tool to estimate gar-lic productivity and sanitary aspects
- Uso de imagenes multiespectrales y termográficas para caracterizar el estado de un viñedo
- Characterization of multispectral aerial images of sugarcane
- Fenotipado de alto caudal para estimar la altura de planta en cultivares de soja (Glycine max) utilizando modelos digitales de elevación e imágenes multiespectrales obtenidas con drones
- Yield prediction of four bean (Phaseolus vulgaris) cultivars using vegetation indices based on multispectral images from UAV in an arid zone of Peru
- Detection and segmentation of vine canopy in ultra-high spatial resolution RGB imagery obtained from unmanned aerial vehicle (UAV) :a case study in a commercial vineyard