An Artificial Intelligence (AI) based computing system for calculating Toxicity Exposure Ratio (TER) in plants is disclosed. An AI based computing system (104) comprises one or more hardware processors and a memory (206) coupled to the one or more hardware processors. The memory (206) comprises a set of program inst...

A computing system (100) to classify plant disease infection and plant mechanical injuries is disclosed. The plurality of subsystems includes an image receiving subsystem (112), configured to receive images of plants grown. The plurality of subsystems includes an image contrast improving subsystem (114), configured ...

A system and method for seed quality rapid assessment is disclosed. Embodiments of the present disclosure comprises an Artificial Intelligence (AI) based computing system 104 for determining quality of seeds. Plurality of modules 106 comprises an image receiver module 208, an operation performing module 210, a value...

A system (100) to detect plant disease infection is disclosed. The plurality of subsystems includes an image receiving subsystem (112), configured to receive one or more images of plants as captured via image capturing devices. The plurality of subsystems includes an image contrast improving subsystem (114), configu...

The present invention, in one aspect relates to a user-centric culinary formulation system (102), for recommending at least one culinary recipe responsive to dynamically varying user response. The system comprises one or more processors (204); and modules such as a receiving module (214), a data assessment module (2...

The present invention discloses a system (100) for recommending culinary recipes. The system (100) includes processors (102) and a memory (104) comprising a set of instructions executed by the one or more processors (102), The processor (102) is configured to receive data (208) for a primary culinary recipe (110) of...