| _version_ | 1866901523592642560 |
|---|---|
| author | Kashish Srivastava Karun Gupta Er. Kirti |
| author_facet | Kashish Srivastava Karun Gupta Er. Kirti |
| contents | India's economy leans on agriculture. It also helps feed people here and around the world. Most people depend on it for their livelihoods. Crop diseases hit crop productivity and farmers' income hard. So it's important to spot and treat diseases fast to cut those losses. This project wants to build a mobile app that uses artificial intelligence (AI) to help farmers identify crop disease quickly and accurately. It will use AI plus augmented reality (AR), natural language processing (NLP) and blockchain. Farmers can access it on a smartphone or a computer. Farmers will take photos of their crops and ask the system about them on their phones. Deep learning algorithms will analyze the images to detect disease. AR will show, in real time, the sick or infested parts of the plants. The app will then offer treatment options tailored to the crop and to local soil and weather. The app will also securely store reports for each farmer. Over time that will create a public, freely available dataset. The hoped result: more eco-friendly farming through better disease identification and management, and farmers getting more productive on their land. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19552906 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI-Based Mobile Portal for Crop Disease Diagnosis Kashish Srivastava Karun Gupta Er. Kirti AI augmented reality (AR) crop disease detection India's economy leans on agriculture. It also helps feed people here and around the world. Most people depend on it for their livelihoods. Crop diseases hit crop productivity and farmers' income hard. So it's important to spot and treat diseases fast to cut those losses. This project wants to build a mobile app that uses artificial intelligence (AI) to help farmers identify crop disease quickly and accurately. It will use AI plus augmented reality (AR), natural language processing (NLP) and blockchain. Farmers can access it on a smartphone or a computer. Farmers will take photos of their crops and ask the system about them on their phones. Deep learning algorithms will analyze the images to detect disease. AR will show, in real time, the sick or infested parts of the plants. The app will then offer treatment options tailored to the crop and to local soil and weather. The app will also securely store reports for each farmer. Over time that will create a public, freely available dataset. The hoped result: more eco-friendly farming through better disease identification and management, and farmers getting more productive on their land. |
| title | AI-Based Mobile Portal for Crop Disease Diagnosis |
| topic | AI augmented reality (AR) crop disease detection |
| url | https://doi.org/10.5281/zenodo.19552906 |