Abstract
The global rise in population has led to a shortage of raw materials and food supplies. The agricultural sector has become the primary and most vital source to overcome this particular constraint. However, the industry itself is facing the challenge of pests and various crop diseases. Battling this has been the significant focus of the sector for decades. due to the technology gap identifying the diseased crops on a massive scale is a big obstacle for the agricultural sector. The proposed system recognizes diseases using CNN, disease detection involves steps such as image acquisition, pre-processing, segmentation, feature extraction and classification, also we are deploying a web app with this trained model which can be used on computers and any android devices thus farmers can easy detect the disease and get the remedy by using the application, we are developing the web app using the python flask. Key Words: CNN,
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
