# A Survey on Different Plant Diseases Detection Using Machine Learning Techniques
## 2 Basic Steps in Identification of Diseases from Leaf Images
### Classification
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Dataset Description** & **Image Environment** & **Link** \\ \hline PlantVillage dataset: 54,304 images of 14 different plant species and 38 different classes including healthy leaf images & Captured in laboratory setup condition & [[https://github.com/spaMohanty/PlantVillage-Dataset](https://github.com/spaMohanty/PlantVillage-Dataset)]([https://github.com/spaMohanty/PlantVillage-Dataset](https://github.com/spaMohanty/PlantVillage-Dataset)) (accessed on 15 February 2022) \\ \hline Rice leaf diseases: 120 images of three & Captured on uniform background & [[https://archive.ics.uci.edu/ml/datasets/Rice+Leaf+Diseases](https://archive.ics.uci.edu/ml/datasets/Rice+Leaf+Diseases)]([https://archive.ics.uci.edu/ml/datasets/Rice+Leaf+Diseases](https://archive.ics.uci.edu/ml/datasets/Rice+Leaf+Diseases)) (accessed on 25 February 2022) \\ \hline Rice disease dataset: 5477 images of 3 different disease classes and 1 healthy class & Captured on white background & [[https://www.kaggle.com/shayantiyaz/riceleafs](https://www.kaggle.com/shayantiyaz/riceleafs)]([https://www.kaggle.com/shayantiyaz/riceleafs](https://www.kaggle.com/shayantiyaz/riceleafs)) (accessed on 21 February 2022) \\ \hline Rice disease dataset: 5932 images of 4 different disease classes & Field images & [[https://data.mendeleycom/datasets/twc/?stb#/1](https://data.mendeleycom/datasets/twc/?stb#/1)]([https://data.mendeleycom/datasets/twc/?stb#/1](https://data.mendeleycom/datasets/twc/?stb#/1)) (accessed on 27 February 2022) \\ \hline Casaswa dataset: 24,395 images of 5 different disease classes including healthy leaf class & Field images with complex background & [[https://www.kaggle.com/sspa9000/casswa-plant-disease-merged-20192020](https://www.kaggle.com/sspa9000/casswa-plant-disease-merged-20192020)]([https://www.kaggle.com/sspa9000/casswa-plant-disease-merged-20192020](https://www.kaggle.com/sspa9000/casswa-plant-disease-merged-20192020)) (accessed on 12 May 2022) \\ \hline Hops disease dataset: 1101 images of 5 different diseases including healthy leaves & Field images with nonuniform background & [[https://www.kaggle.com/scruggilla/hops-classification](https://www.kaggle.com/scruggilla/hops-classification)]([https://www.kaggle.com/scruggilla/hops-classification](https://www.kaggle.com/scruggilla/hops-classification)) (accessed on 3 March 2022) \\ \hline Cucumber disease dataset: 695 images of disease-infected leaves & Field images & [[https://www.kaggle.com/kanzenm3](https://www.kaggle.com/kanzenm3) egm/cucumber-plant-diseases-dataset]([https://www.kaggle.com/kanzenm3](https://www.kaggle.com/kanzenm3) egm/cucumber-plant-diseases-dataset) (accessed on 27 March 2022) \\ \hline Cotton disease dataset: 2310 images of healthy and diseased cotton leaves and plant & Field images & [[https://www.kaggle.com/singhakash/cotton-disease-dataset](https://www.kaggle.com/singhakash/cotton-disease-dataset)]([https://www.kaggle.com/singhakash/cotton-disease-dataset](https://www.kaggle.com/singhakash/cotton-disease-dataset)) (accessed on 5 March 2022) \\ \hline Corn disease dataset: 4188 images of four different disease classes including healthy leaves & Laboratory condition & [[https://www.kaggle.com/smaran/tighose/com-or-m](https://www.kaggle.com/smaran/tighose/com-or-m)]([https://www.kaggle.com/smaran/tighose/com-or-m](https://www.kaggle.com/smaran/tighose/com-or-m)) maize-leaf-disease-dataset (accessed on 18 March 2022) \\ \hline Plant Disease dataset: 125,000 images of 10 different plants species containing 37 different categories of diseases & Laboratory condition and also complex background & [[https://www.kaggle.com/lavuman151/plantifyd-dataset](https://www.kaggle.com/lavuman151/plantifyd-dataset)]([https://www.kaggle.com/lavuman151/plantifyd-dataset](https://www.kaggle.com/lavuman151/plantifyd-dataset)) (accessed on 12 April February 2022) \\ \hline New Plant Diseases dataset (Augmented): 87,000 images of 38 different classes & Laboratory condition & [[https://www.kaggle.com/vipooool/new-plant-diseases-dataset](https://www.kaggle.com/vipooool/new-plant-diseases-dataset)]([https://www.kaggle.com/vipooool/new-plant-diseases-dataset](https://www.kaggle.com/vipooool/new-plant-diseases-dataset)) (accessed on 18 April 2022) \\ \hline \hline \end{tabular}
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