Microsoft Technology Licensing, LLC

Reliance Industries Limited

Raghuram Lanka

Mukundan Bhoovaraghavan

Corrina Black

Arun Banerjee

Bhaskar Bhadra

Suraj Chavan

Sushant Kangade

Kenny Paul

Rahul Badhwar

Rajesh Nandru

The present disclosure relates to the field of image processing and discloses an agricultural advisory system () comprising a user device () and a cloud server (). The user device () captures a digital image of a scene, receives a sensed data corresponding to scene-related and environmental parameters, and transmits the image and the sensed data to the cloud server. The server () stores one or more pre-trained prediction models and a three-dimensional HyperIntelliStack which maps red green blue (RGB) pixel values with hyperspectral reflectance values. The server () receives the digital images and the sensed data, transforms the received image made of RGB pixel values into a hyperspectral image using the HyperIntelliStack data structure, computes vegetation indices for each pixel of the hyperspectral image to generate a segmented image, and generates at least one advisory for agriculture and allied areas using the segmented image and one or more prediction models.

Image processing based advisory system and a method thereof

Performance data can be collected from different runtime environment subsystems of a computer system while the computer system is running a program in the runtime environment. A visualization model can be displayed, and a visual query of the integrated data can be received at the visualization model. Queried data can be compiled and displayed in response to the visual query. The queried data can be drilled into in response to user input. In response to a navigation request, navigation can lead to a programming element related to a portion of the queried data.

Navigating performance data from different subsystems

Growing community of inventors

Hyderabad Telangana, India

Raghuram Lanka