Main Article Content
Aims: In this paper Cotton Pest App is designed to identify the leaf disease in cotton at early stage. Cotton Pest App is an innovative application that is useful for farmers.
Methodology: The farmers can capture the images in the cotton field and upload the images. Cotton API is created and placed in cloud services. Images taken from farmers field matches with Cotton API and gets the TNAU recommendation for the cotton leaf diseases.
Results: Cotton Pest App for pest management in cotton will analyze and provide an accurate recommendation to farmers about the type of pesticide for the symptoms given through the images.
Conclusion: This paper expresses the idea about the creation of Cotton Pest App, an android application that helps to make management decision for cotton leaf symptoms. The study would provide a better understanding of the management practice required for the cotton leaf disease.
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