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  Digital Catalogue for Technology and Products Development


   Technology and Product Development

    Basic Information

Technology developed: Leaf Identification (TP19764841055)
Category: Product (Hardware/Material/Software)
Details of Inventor(s):
Inventor Institution/Organization/Company Department Designation
Sajeevan G C-DAC ES&EG Associate Director
Mr Sajeevan G C-DAC Emerging Solutions & e-Gov Associate Director
Shayan Hati IIT Kharagpur
Technical Application Area: Information Technology
If 'Other', please specify:
Please give more details of new technical application area:
Artificial Neural Network is used to identify plant by inputting leaf image. Compared to earlier approaches, new input features and image processing approach that matter in efficient classification in Artificial Neural Network have been introduced. Image processing techniques are used to extract leaf shape features such as aspect ratio, width ratio, apex angle, apex ratio, base angle, centroid deviation ratio, moment ratio and circularity. These extracted features are used as inputs to neural network for classifying the plants.
Organization(s):
Centre for Development of Advanced Computing (CDAC) Pune
Affiliated Ministry: MeitY, Govt. of India
Type of technology development: Indigenous
Does the technology help in replacing any import items currently
procured from outside India?
Does the technology have export potential? 1
Category of Technology developed: Futuristic
Stage of Development: Prototype Level
Please describe in detail including the TRL Level:
534 leaves of 20 kinds of plants were collected. Out of these, 400 leaves were trained. The 134 testing samples were recognised with 92percent accuracy, even without considering types of leaf margins, vein and removal of the petiole. Software has also been developed to identify leaf automatically except two mouse clicks by the user. Automatic leaf vein feature extraction for first degree veins is also demonstrated.

    Abstract:

Applications: Feature identification using Artificial Neural Network
Advantages: Object identification applications using indigenous solutions

    Technology Inputs:

Imported Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Indigenous Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Imported Raw Materials:
Raw Materials Year ITC-HS Code
NA
Indigenous Raw Materials:
Raw Materials Year ITC-HS Code
NA
Existing R&D Facilities used:
Facilities Year ITC-HS Code
NA

   Patents & Publications:

Patents:
Filed Patents (No.) Granted Patents (No.) Year
0 0 NA
Publications:
Submitted (No.) Published (No.) Year
0 1 2013-14

    Commercialization Potential:

Who are the Potential Licensees?
What commercially available products address
the same problem?
Company Product Problem Addressed
Would you like to develop this invention further with
corporate research support?
Yes
Would you be interested in participating in cluster based
programs for commercialization research or business
planning for your invention?
Yes
      Submitted by: Jasjit Singh Date of Submission: 30-9-2020



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