AI Internship – Crop Monitoring

We are seeking a passionate and driven AI Intern to join our R&D team and help develop a cutting-edge AI tool for automated crop health monitoring using drone imagery and sensor data. You will work on real-world datasets to build, train, and deploy models that detect crop stress, disease, nutrient deficiencies, and yield patterns. Key Responsibilities Work with drone imagery and multispectral/thermal sensor data Build AI/ML models for tasks like image segmentation, classification, anomaly detection Preprocess and label datasets using tools like LabelImg or CVAT Collaborate with agronomists and product team to define use cases and model KPIs Optimize models for deployment on cloud/mobile edge devices Support integration with our drone mission planner and mobile app (Agribotics) Requirements B.Tech/M.Tech/M.Sc or pursuing in Computer Science, AI/ML, Remote Sensing, or related fields Strong understanding of deep learning, particularly CNNs for computer vision (e.g., YOLO, UNet, ResNet) Experience with Python, TensorFlow, PyTorch, OpenCV Familiarity with image datasets, annotation tools, and model evaluation Bonus: Knowledge of precision agriculture, GIS, NDVI, or UAV data formats Preferred Skills Experience with deployment using Flask/FastAPI, ONNX, or TensorFlow Lite Interest in real-world agri-tech applications and startup innovation Strong analytical and problem-solving mindset

CropXplore is a deep-tech agri-startup building India's first indigenous, affordable, and compact agri-drones for small and marginal farmers. We are now expanding into AI-powered crop monitoring and analytics, aiming to provide farmers with real-time, data-driven insights for better productivity and sustainability.