Abstract
In order to detect crop diseases and insect pests in crop cultivation timely and accurately and to determine which kind of diseases and insect pests, this paper uses some algorithms in the field of image processing and the prevailing neural network to identify crop diseases and insect pests. In order to better identify diseases and insect pests, this paper uses a variety of plant diseases and insect pests for analysis and research, then expands a variety of crop diseases and insect pests on the original basis, expands the practical field by modifying model parameters and other methods, which not only saves workload, but also saves a lot of time, and can be based on the original. Real-time conditions to make a better pest identification algorithm model.
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 callDisclaimer: 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.
