Automatic Detection of Maize Tassels from UAV Images by Combining Random Forest Classifier and VGG16

Detection of Maize Tassels from UAV RGB Imagery with Faster R-CNN

(2020) Yunling Liu et al.   Remote Sensing

Identification of Seed Maize Fields With High Spatial Resolution and Multiple Spectral Remote Sensing Using Random Forest Classifier

(2020) Lin Zhang et al.   Remote Sensing

Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application

(2020) GyuJin Jang et al.   Remote Sensing

Early Identification of Seed Maize and Common Maize Production Fields Using Sentinel-2 Images

(2020) Tianwei Ren et al.   Remote Sensing

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

(2019) Liang Han et al.   Plant Methods

A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images

(2019) Xin Zhang et al.   Remote Sensing

Estimates of rice lodging using indices derived from UAV visible and thermal infrared images

(2018) Tao Liu et al.   AGRICULTURAL AND FOREST METEOROLOGY

An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

(2018) Ana de Castro et al.   Remote Sensing

Small Object Detection in Optical Remote Sensing Images via Modified Faster R-CNN

(2018) Yun Ren et al.   Applied Sciences-Basel

Automatic detection of individual oil palm trees from UAV images using HOG features and an SVM classifier

(2018) Yiran Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Ear density estimation from high resolution RGB imagery using deep learning technique

(2018) Simon Madec et al.   AGRICULTURAL AND FOREST METEOROLOGY

Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery

(2018) Jinya Su et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Aerial Imagery Analysis – Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy

(2018) Wei Guo et al.   Frontiers in Plant Science

The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system

(2017) Norbert Kirchgessner et al.   FUNCTIONAL PLANT BIOLOGY

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

TasselNet: counting maize tassels in the wild via local counts regression network

(2017) Hao Lu et al.   Plant Methods

TIPS: a system for automated image-based phenotyping of maize tassels

(2017) Joseph L. Gage et al.   Plant Methods

Digital Counts of Maize Plants by Unmanned Aerial Vehicles (UAVs)

(2017) Friederike Gnädinger et al.   Remote Sensing

Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

(2017) Olli Nevalainen et al.   Remote Sensing

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

(2017) Guijun Yang et al.   Frontiers in Plant Science

High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling

(2017) Kakeru Watanabe et al.   Frontiers in Plant Science

A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments

(2016) Manchun Li et al.   International Journal of Applied Earth Observation and Geoinformation

Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research

(2016) Yeyin Shi et al.   PLoS One

Fine-grained maize tassel trait characterization with multi-view representations

(2015) Hao Lu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

(2015) M Zaman-Allah et al.   Plant Methods

Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series

(2015) François Waldner et al.   Remote Sensing

Detecting corn tassels using computer vision and support vector machines

(2014) Ferhat Kurtulmuş et al.   EXPERT SYSTEMS WITH APPLICATIONS

Selective Search for Object Recognition

(2013) J. R. R. Uijlings et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Field-based phenomics for plant genetics research

(2012) Jeffrey W. White et al.   FIELD CROPS RESEARCH

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Verification of color vegetation indices for automated crop imaging applications

(2008) George E. Meyer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE