Plant Care Info and Leaf Disease Detection

Plant leaf diseases pose a formidable threat to global food production, causing substantial crop losses and jeopardizing food security. Current plant leaf disease detection methods, primarily relying on visual inspection by farmers and experts, are time-consuming, labor-intensive, and prone to human error, resulting in delayed detection and ineffective disease management. These limitations often lead to the wasteful expenditure of time and resources, exacerbating plant losses. Current methods frequently fail to detect diseases in their early stages, when intervention is most effective, leading to widespread outbreaks and significant crop losses before diseases are identified and controlled. Accurately differentiating between various plant leaf diseases can be challenging, especially for diseases with similar symptoms, potentially leading to inappropriate treatment strategies and further crop losses. Existing methods may not be adaptable to diverse environmental conditions, crop varieties, and disease strains, limiting their effectiveness in a wide range of agricultural settings. Current plant leaf disease detection methods often lack integration with precision agriculture technologies, hindering data-driven decision-making and disease management strategies. Traditional methods can be costly and unsustainable, particularly for large-scale operations, potentially restricting access to effective disease detection and management practices. Therefore, an urgent need exists for a novel, automated and accurate plant leaf disease detection system to address these challenges and provide a reliable solution for early detection, effective disease management, and improved crop health and productivity.

Papers:

1. DenseNet-77-based Corner Net model for the tomato plant leaf disease detection and classification

2. plant leaf disease detection and classification

3. Transfer learning based deep ensemble neural network for plant leaf disease detection

4. Cotton Leaf Net: cotton plant leaf disease detection

5. Automated Image Capturing System for Deep Learning-based Tomato Plant Leaf Disease Detection and Recognition

Apps:

Ai plant Care: https://apps.apple.com/pk/app/plant-doctor/id1483705696

plant lens plant identifier: https://apps.apple.com/pk/app/ai-plant-identification-app/id6471321457

Plant parent: https://apps.apple.com/pk/app/plantme-ai-plant-identifier/id1532875668

Plant doctor: https://apps.apple.com/pk/app/plant-parent-plant-care-guide/id1612792132

Agrio-plant health app: https://apps.apple.com/pk/app/agrio-plant-health-app/id1239193220

Plantix: https://apps.apple.com/pk/app/plantix-plant-leaf-identifier/id6450135619

1. Admin Login

2. User Login

3. User Signup

4. Plant information & care

5. Search plant

6. Plants disease info

7. Top ten crops buttons

8. Real time plant leaf disease detection

9. History

10. Treatment Recommendation

11. Request for a specific plant

12. Logout

• Early Disease Detection

• Accurate Identification

• User-Friendly Interface

• Comprehensive Information

• Integration with Other Modules

• Educational and Research Benefits

Abdul Hanan Afzal (FC-025)

Ali Hassan(FC-015)

Saad Majeed (FC-057)