GIS/ Remote Senescing Developer/ Modeler

Job Profile

Designing and Development of an automated Crop Model, based on crop calendar and signature bank from optical, microwave, and hyperspectral satellite images and field data.

Responsible for forecasting harvest date and amount along with signature identification and crop estimation through automated crop model.

Development of automated Disease/pesticide Model.

Model compatibility with Web-based GIS.

Responsible for designing and developing Web-based GIS portal for supporting search engine, query generation, and output generation from Remote Sensing Crop Model

Creating and managing RASTER & VECTOR data layer in database i.e., weather data, soil moisture, growth data, soil temperature, for better forecasting and decision making for potential yield, and diseases management.

Creating and managing web GIS applications system.

Designed, develop, and optimize computer vision algorithms for various models and applications, such as object detection, image segmentation, facial recognition, tracking, and 3D reconstruction, Remote sensing, Agriculture field.

Implement computer vision models and techniques using popular libraries and frameworks, such as OpenCV, TensorFlow, PyTorch, or other deep learning platforms.

Conduct experiments, evaluate model performance, and fine-tune algorithms to achieve desired accuracy and efficiency.

Optimize computer vision pipelines for real-time performance and deploy models to production environments.

Skill

Good communication and coordination skills are required.

Target-oriented working methodology.

Proficiency in Python, Matlab, other programming languages, and AI-ML.

Geo-server, Open layer, PostgreSQL, post-gis, Open-source GIS & RS Software.

JAVA Script, Advance JAVA, JASON, Python, PHP, etc.

Educational Qualification: MSc. Or M.Tech, B.Sc. or B.Tech in remote sensing/Geoinformatics/ Agriculture IT, IT.

Full time