Automatic Segmentation and Counting of Aphid Nymphs on Leaves Using Convolutional Neural Networks

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

DCAN: Deep contour-aware networks for object instance segmentation from histology images

(2017) Hao Chen et al.   MEDICAL IMAGE ANALYSIS

Combination of image processing and artificial neural networks as a novel approach for the identification of Bemisia tabaci and Frankliniella occidentalis on sticky traps in greenhouse agriculture

(2016) Karlos Espinoza et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks

(2016) Shunta Saito et al.   JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY

Automatic identification and counting of small size pests in greenhouse conditions with low computational cost

(2015) Chunlei Xia et al.   Ecological Informatics

Using digital image processing for counting whiteflies on soybean leaves

(2014) Jayme Garcia Arnal Barbedo   JOURNAL OF ASIA-PACIFIC ENTOMOLOGY

The NumPy Array: A Structure for Efficient Numerical Computation

(2011) Stéfan van der Walt et al.   COMPUTING IN SCIENCE & ENGINEERING

Scale invariant feature approach for insect monitoring

(2010) Luis O. Solis-Sánchez et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine vision algorithm for whiteflies (Bemisia tabaciGenn.) scouting under greenhouse environment

(2009) L. O. Solis-Sánchez et al.   JOURNAL OF APPLIED ENTOMOLOGY