Herbs Identification Using Machine Learning.
In Pakistan, most of the crops are adversely affected by the production of herbs, so we are designing an app that will identify the herb produced and will suggest the appropriate medication for its removal. We will perform this task by collecting the herb data of wheat, maize, and mustard along with their proper details moreover the spray used for its removal Digital image processing methods and machine learning algorithms would be used for training the model. The outcome will be the herb name and the suitable spray for its removal that will be shown after uploading the picture of herbs and the system will match it with the prearranged dataset of herbs.
Keywords: Herbs, Pesticides, Machine Learning Algorithms, Chenopodium Murale, App development, Cyperous Roundus, Colonyth
Tools: ML Algorithm(CNN Algorithms), Pre-Processing Techniques, iPhone Camera
Department: Department of Electrical Engineering
Project Team Members
| Name |
Email |
|
Hafsa Zahid
|
hafsaz2019@namal.edu.pk |
|
Rehman Munir
|
rehman2019@namal.edu.pk |
Project Poster
