Research Article

Cotton Disease Detection Using TensorFlow Machine Learning Technique

Table 1

Comparative study in a literature review.

Authors/yearWork detailAlgorithm/techniquePlatformFindings

K.P. Ferentinos [8]—2018Using an opensource dataset, the deep learning model is prepared.CNNAndroid/WebAndroid and web-based apps to identify the disease
Model is used to detect the diseasesServer-based implementation
Python language is usedThe server set up is costly and need maintenance

A. Shah, P. Gupta, and Y.M Ajgar [9]—2018Automatic solution for nutrient deficiency identificationOpenCVWebImage feature extraction logic
Data set of deficient and healthy leaves is usedSupervised MLServe-based implementation
RGB colour pattern is extractedThe server set up is costly and need maintenance

J. Shirahatti, P. Patil, and P. Akulwar [10]—2018Studied different kinds of ML techniquesSVM, PNN, ANN, GAWebComparative study with results
Accuracy result comparison is performed
Image data set is used for comparison

K.K. Singh [11]—2018System to track, diagnose and forecast the disease informationCNNWebCloud-based integration
Local expert advice can be takenInterface to upload the image and see the result
Geo tagging on imagesHigh accuracy ∼ 95%
Image dataset is usedLocal expert opinion
Cloud-based implementation is costly and need maintenance