Fetching the paper…
Reading the bibliography…
Plant disease detection is an essential factor in increasing agricultural production.
An application of k-means clustering and artificial intelligence in pattern recognition for crop diseases
Mrunalini R Badnakhe and Prashant R Deshmukh · 2011
Earlier work this paper cites.
Color transform based approach for disease spot detection on plant leaf
Piyush Chaudhary, Anand K Chaudhari, AN Cheeran, and Sharda Godara · 2012
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Siamese neural networks for one-shot image recognition
Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Earlier work this paper cites.
Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Daan Wierstra, et al · 2016
Earlier work this paper cites.
A survey of transfer learning
Karl Weiss, Taghi M Khoshgoftaar, and DingDing Wang · 2016
Earlier work this paper cites.
Understanding data augmentation for classification: when to warp?
Sebastien C Wong, Adam Gatt, Victor Stamatescu, and Mark D McDonnell · 2016
Cited alongside, same era.
Pesticides are associated with allergic and non-allergic wheeze among male farmers
Jane A Hoppin, David M Umbach, Stuart Long, Stephanie J London, Paul K Henneberger, Aaron Blair, Michael Alavanja, Laura E Beane Freeman, and Dale P Sandler · 2017
Cited alongside, same era.
Automatic image-based plant disease severity estimation using deep learning
Guan Wang, Yu Sun, and Jianxin Wang · 2017
Cited alongside, same era.
Crop disease detection using machine learning: Indian agriculture
Anuradha Badage · 2018
Cited alongside, same era.
Plant disease detection using machine learning
Shima Ramesh Maniyath, PV Vinod, M Niveditha, R Pooja, N Shashank, Ramachandra Hebbar, et al · 2018
Cited alongside, same era.
Improving siamese networks for one shot learning using kernel based activation functions
Shruti Jadon and Aditya Srinivasan · 2019
Later among the works it cites.
Plant disease identification using explainable 3d deep learning on hyperspectral images
Koushik Nagasubramanian, Sarah Jones, Asheesh K. Singh, Soumik Sarkar, Arti Singh, and Baskar Ganapathysubramanian · 2019
Later among the works it cites.
Plant disease detection and classification by deep learning
Saleem, Potgieter, and Mahmood Arif · 2019
Later among the works it cites.
Plant disease detection using deep learning
Gresha S. Bhatia, Pankaj Ahuja, Devendra Chaudhari, Sanket Paratkar, and Akshaya Patil · 2020
Closest in time.
Leafgan: An effective data augmentation method for practical plant disease diagnosis
Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, and Hitoshi Iyatomi · 2020
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Pesticide contamination and human health risk factor
Ngangbam Sarat Singh, Ranju Sharma, Talat Parween, and PK Patanjali · 2018
Cited alongside, same era.
Hands-on one-shot learning with python: A practical guide to implementing fast and… accurate deep learning models with fewer training, 2019
S JADON · 2019
Cited alongside, same era.
Minileaves: Challenges
Cited in the paper.
A comparative study of 2d image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial
Shruti Jadon, Owen P. Leary, Ian Pan, Tyler J. Harder, David W. Wright, Lisa H. Merck, and Derek Merck · 2020
Closest in time.