Barley yield and fertilization analysis from UAV imagery: a deep learning approach

Plant species classification using deep convolutional neural network

(2016) Mads Dyrmann et al.   BIOSYSTEMS ENGINEERING

Deep learning for plant identification using vein morphological patterns

(2016) Guillermo L. Grinblat et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Local and global approaches for unsupervised image annotation

(2016) Luis Pellegrin et al.   MULTIMEDIA TOOLS AND APPLICATIONS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

Estimating Leaf Nitrogen Concentration In Barley By Coupling Hyperspectral Measurements With Optimal Combination Principle

(2014) Xingang Xu et al.   INTELLIGENT AUTOMATION AND SOFT COMPUTING

Nitrogen Status Assessment for Variable Rate Fertilization in Maize through Hyperspectral Imagery

(2014) Chiara Cilia et al.   Remote Sensing

Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

(2014) Juliane Bendig et al.   Remote Sensing

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

An Air-Ground Wireless Sensor Network for Crop Monitoring

(2011) João Valente et al.   SENSORS

New method to assess barley nitrogen nutrition status based on image colour analysis

(2008) Miguel Pagola et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Differential Responses of Barley Landraces and Improved Barley Cultivars to Nitrogen-Phosphorus Fertilizer

(2008) John Ryan et al.   JOURNAL OF PLANT NUTRITION