Plant Disease Detection Using Deep Learning | MobileNetV2 | AI in Agriculture | AgriScan

Описание: Plant diseases are a major threat to agricultural productivity, directly affecting crop quality and yield. Early detection of plant diseases is essential to minimize crop loss and improve food security. In this video, we present a deep learning–based plant disease detection system that accurately identifies diseases from leaf images using advanced AI techniques.⁣⁣
⁣⁣
This project leverages transfer learning with a pretrained MobileNetV2 model to extract meaningful visual features and classify plant diseases efficiently with minimal training time. A well-structured training and testing pipeline ensures high accuracy, strong performance, and reliable generalization on unseen data.⁣⁣
⁣⁣
By combining artificial intelligence, computer vision, and modern web technologies, this project demonstrates how deep learning can revolutionize agriculture through early and accurate plant disease identification.⁣⁣
⁣⁣
𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:⁣⁣
Deep learning–based plant disease detection⁣⁣
Leaf image classification using MobileNetV2⁣⁣
Transfer learning for fast and accurate results⁣⁣
AI-powered solution for smart agriculture⁣⁣
⁣⁣
𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐭𝐚𝐜𝐤:⁣⁣
Frontend: React.js (Vite), Tailwind CSS, React Router DOM⁣⁣
Backend: Node.js, Express.js⁣⁣
AI & APIs: Google Gemini API (gemini-3-flash-preview)⁣⁣
Storage: File-based JSON⁣⁣
File Handling: Multer

Visit: www.sittechno.edu.in
Contact number: +91 9434527272

#PlantDiseaseDetection #SmartAgriculture #ArtificialIntelligence #DeepLearning #ComputerVision #MobileNetV2 #MachineLearning #AIProjects #AgriTech #ReactJS #NodeJS #StudentProject #TechInnovation