Скачать или смотреть 🌾 Welcome to the Smart 𝐂𝐫𝐨𝐩-𝐖𝐞𝐞𝐝 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 system 🌱

🔹 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧
In this video, we demonstrate an AI-powered agricultural solution that automatically detects crops and weeds in farm field images. Leveraging computer vision and deep learning, this system helps farmers optimize herbicide usage, monitor crop health, and improve field management through real-time plant classification with bounding box visualizations.

🔹 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:
𝟏. 𝐌𝐋 & 𝐂𝐕: PyTorch, YOLOv5, PIL, NumPy
𝟐. 𝐖𝐞𝐛: FastAPI, HTML5, CSS3, Jinja2
𝟑. 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Render

🔹 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬:
● Real-time detection with 95%+ accuracy (model-dependent)
● Bounding box visualization with confidence scores
● Detailed detection metrics and responsive web interface
● Automatic model download from Hugging Face
● Precision agriculture support for sustainable farming

💻 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞:
Umesh Samartapu | AI & Computer Vision Enthusiast | Passionate About Agri-Tech Solutions

🔹 𝐋𝐢𝐧𝐤𝐬:
🔗 𝐆𝐢𝐭𝐇𝐮𝐛 𝐑𝐞𝐩𝐨: https://github.com/UmeshSamartapu/crop-wee...

🔔 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 for more AI applications in agriculture, computer vision projects, and full-stack development tutorials!

#️⃣ 𝐓𝐚𝐠𝐬:
#PrecisionAgriculture #AIinFarming #CropWeedDetection #ComputerVision #YOLOv5 #SmartFarming #AgriTech #DeepLearning #FastAPI #PyTorch #AIforGood #AgriculturalInnovation #MachineLearning #SustainableFarming #TechInAgriculture