Use of UAVs' multispectral images for sugar beet cultivars discrimination and yield estimation

This publication has 24 references indexed in Scilit:

• Detection and Analysis of Weed Impact on Sugar Beet Crop Using Drone Imagery
  Journal of the Indian Society of Remote Sensing, 2023
• UAV‐based NDVI estimation of sugarbeet yield and quality under varied nitrogen and water rates
  Agrosystems, Geosciences & Environment, 2023
• Estimation of sugar content in sugar beet root based on UAV multi-sensor data
  Computers and Electronics in Agriculture, 2022
• Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm
  ISPRS Journal of Photogrammetry and Remote Sensing, 2020
• A satellite based crop water stress index for irrigation scheduling in sugarcane fields
  Agricultural Water Management, 2017
• Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas
  Computers and Electronics in Agriculture, 2017
• Water stress detection in potato plants using leaf temperature, emissivity, and reflectance
  International Journal of Applied Earth Observation and Geoinformation, 2016
• Mean Absolute Percentage Error for regression models
  Neurocomputing, 2016
• Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review
  European Journal of Agronomy, 2015
• The application of small unmanned aerial systems for precision agriculture: a review
  Precision Agriculture, 2012