Salvato in:
| Autori principali: | , , , , , |
|---|---|
| Natura: | Recurso digital |
| Lingua: | |
| Pubblicazione: |
Zenodo
2026
|
| Accesso online: | https://doi.org/10.5281/zenodo.19874849 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
Sommario:
- <p><span class="fontstyle0">The diseases detection in crop is a very<br>important factor to prevent serious losses. Automatic<br>detection of crop is essential research topic. Most crop<br>are infected due to many reasons like fungi, bacteria etc.<br>The Farmers are not much educated. They does not have<br>the knowledge about all type of diseases and the<br>pesticides which are used to prevent the crops from<br>infectious disease, because of that they have to face many<br>losses. To reduce such kind of losses we are going to<br>implement the android application software in which the<br>user should have to take pictures captured by the mobile<br>phones are uploaded in the server and proper solutions<br>are provided to the client or farmer at same instance of<br>time. There are different kind of techniques which we<br>are going to use in this project like edge detection<br>technique, image segmentation, k-clustering techniques<br>etc. Disease detection in crops involve the process like<br>image acquisition, image pre-processing, etc. All the<br>information of diseases with their solutions is stored into<br>the Database which will connected with our android<br>mobile application. The goal of our project is to provide<br>the faster solution to the farmers to reduce the losses<br>which is indirectly related to our Indian economy.</span> </p>