80% Crop Disease Prevention With Machine Learning
Details about the project
An Agro-Tech giant turned to Codewave with a pressing issue: farmers struggling to spot crop diseases early, resulting in reduced yields and financial losses. Traditional crop disease detection methods are slow and unreliable, leaving farmers with limited options for proactive management. They sought our AI expertise to build a solution – an AI/ML prototype that swiftly and accurately scans crop images for disease signs. Their vision? To arm farmers with cutting-edge technology, revolutionizing food production and empowering them to tackle challenges head-on.
| Date: | February 2024 |
|---|---|
| Year: | 2023-2024 |
| Project: | AI, ML, Pattern Recognition |
| Customer: | AgroTech Giant |
| Link: | Clutch Review |
Vision: Maximize Farmer’s Yields & Financial Returns
Imagine a world where farmers no longer live in fear of losses and financial risks due to crop diseases. With our AI/ML prototype, we aim to empower farmers with the tools to confidently detect and manage crop diseases. The client’s vision is to enable farmers to enjoy bountiful harvests without the looming threat of financial setbacks, ensuring a brighter and more prosperous future for agricultural communities worldwide.
Outcomes and impact
Increased Yields and ROI
Farmers experience higher crop yields and ROI as they can promptly identify and address crop diseases, leading to healthier plants and better harvests.
Reduced Wastage
With early disease detection, farmers can prevent the spread of diseases, resulting in lower wastage and crop rejections by retailers.
Agronomists Intervention
Agronomists can intervene promptly with targeted solutions, providing farmers with actionable advice to mitigate risks and adopt best practices.
Thriving Farmers
Farmers feel more empowered and confident in managing their crops, enabling them to proactively safeguard their livelihoods.
