SoyaCare
SoyaCare
Elevate safety with our cutting-edge technology SoyaCare, accurately detecting various disease in soybean plants using Image Processing and Machine Learning .
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App Snapshot
Product Specifications
| Model Number | QSC-001 |
|---|---|
| App Platform | Android |
| Number of Diseases | 11 |
| Preferred Soil | Mostly all type of soils |
| Language supported | Hindi, English, Tamil, Kannada |
| App Size | 76.8 MB |
| History | Upto 4 Months |
| Brand Name | QuanTechL2M Innovations Pvt. Ltd. |
| Image Capture and Upload | Users can capture real-time images or upload photos from the gallery. |
| Automatic Leaf Detection | YOLOv5 detects and crops leaf regions. |
| Health Classification | MobileNetV2 determines whether each leaf is healthy or un- healthy. |
| Result Visualization | The app overlays results on the detected leaves and presents a clear summary of the plant’s health. |
| History Log | Saves past predictions for reference. |
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Testimonials
Suman Jaiswal
Intern @QuanTechL2M
Hello Everyone,
Thrilled to express my heartfelt gratitude to the incredible team at QuanTechL2M
Innovations Pvt. Ltd.! Working on an IoT-enabled soil fertility monitoring
system for my BTech project was an inspiring journey of collaboration and
innovation. It provided valuable technology experience for my placement.
Nidhi Jagtap
Intern @QuanTechL2M
Hello Everyone,
I am absolutely thrilled to express my heartfelt gratitude to the Hybrid
Nanodevice Research Group(HNRG), IIT Indore! Working on a ground breaking soil
sensor projectand contributing to QuanTechL2M Innovations Pvt. Ltd. has beee an
incredible journey in a hub of innovation and knowledge.
Shrey Pathak
Intern @QuanTechL2M
Hello everyone,
I am thrilled to express my deepest gratitude to the Hybrid
Nanodevice Research Group(HNRG), IIT Indore working on a soild sensor project
and contributing to QuanTechL2M Innovations Pvt. Ltd. has been transformative ,
an incredible hub of innovation and knowledge.