Python
Android
IEEE 2026
ID: 1CP0471
Advanced Learning Techniques for Precision Agriculture YOLO Instance Segmentation Applied to Lodged Crops Utilizing Python for Deep Learning
Keywords:
Precision
Agriculture,
YOLO,
Instance
Segmentation,
Deep
Learning,
Crop
Detection,
Python
Project Synopsis & Overview
This project applies YOLO-based instance segmentation for detecting and analyzing lodged crops in precision agriculture. It uses advanced deep learning techniques in Python to enhance crop monitoring and yield assessment accuracy.
Complete Technical Specifications
| Project ID | 1CP0471 (DB ID: 471) |
| Project Title | Advanced Learning Techniques for Precision Agriculture YOLO Instance Segmentation Applied to Lodged Crops Utilizing Python for Deep Learning |
| Domain Division | Python |
| Sub-Domain / Tech | Android |
| IEEE Year | IEEE 2026 |
| Package Price | ₹6500 |
| Created Date | Aug 22, 2026 |
Project Price
₹6500
₹8000
20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
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