Wheat Yield Prediction Using Unmanned Aerial Vehicle RGB-Imagery-Based Convolutional Neural Network and Limited Training Samples.
Juncheng MaYongfeng WuBinhui LiuWenying ZhangBianyin WangZhaoyang ChenGuangcai WangAnqiang GuoPublished in: Remote. Sens. (2023)
Keyphrases
- training samples
- convolutional neural network
- unmanned aerial vehicles
- feature space
- training set
- training data
- test sample
- face detection
- prediction accuracy
- supervised learning
- hyperplane
- learning algorithm
- number of training samples
- high dimensional
- path planning
- decision function
- face images
- neural network
- computer vision
- dynamic environments
- representative samples
- sample set
- base classifiers
- image quality
- high resolution
- machine learning
- data mining