MyJournals Home  

RSS FeedsRemote Sensing, Vol. 14, Pages 4943: Automated Health Estimation of Capsicum annuum L. Crops by Means of Deep Learning and RGB Aerial Images (Remote Sensing)

 
 

3 october 2022 14:36:15

 
Remote Sensing, Vol. 14, Pages 4943: Automated Health Estimation of Capsicum annuum L. Crops by Means of Deep Learning and RGB Aerial Images (Remote Sensing)
 


Recently, the use of small UAVs for monitoring agricultural land areas has been increasingly used by agricultural producers in order to improve crop yields. However, correctly interpreting the collected imagery data is still a challenging task. In this study, an automated pipeline for monitoring C. Annuum crops based on a deep learning model is implemented. The system is capable of performing inferences on the health status of individual plants, and to determine their locations and shapes in a georeferenced orthomosaic. Accuracy achieved on the classification task was 94.5. AP values among classes were in the range of [63,100] for plant location boxes, and in [40,80] for foliar area predictions. The methodology requires only RGB images, and so, it can be replicated for the monitoring of other types of crops by only employing consumer-grade UAVs. A comparison with random forest and large-scale mean shift segmentation methods which use predetermined features is presented. NDVI results obtained with multispectral equipment are also included.


 
101 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 14, Pages 4944: Sugarcane Biomass Prediction with Multi-Mode Remote Sensing Data Using Deep Archetypal Analysis and Integrated Learning (Remote Sensing)
Remote Sensing, Vol. 14, Pages 4945: Aerosols on the Tropical Island of La Réunion (21°S, 55°E): Assessment of Climatology, Origin of Variability and Trend (Remote Sensing)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten