पेटट कायालय

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OFFICIAL JOURNAL
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THE PATENT OFFICE

िनगमन सं. 43/2024 शु वार दनांक: 25/10/2024

पेटट कायालय का एक काशन

The Patent Office Journal No. 43/2024 Dated 25/10/2024 98311

(54) Title of the invention : Advanced Plant Leaf Disease Detection System Using Deep Learning Techniques

(71)Name of Applicant :
1)Rahul Raju Kundiya
Address of Applicant :House No. 2155E, Gowalkot Road, Near Maharashtra
Saw Mill ----------- -----------
2)Vinodini Salvi
Name of Applicant : NA
Address of Applicant : NA
(72)Name of Inventor :
1)Vinodini Salvi (Aka Radhika Kadam)
Address of Applicant :PG Scholar, Derpartment of Computer Engineering,
Saraswati College of Engineering, Khargar and Lecturer, Dept. of Computer
Engineering, VPM's Maharshi Parshuram College of Engineering, Velneshwar
Navi Mumbai ----------- -----------
2)Dr. Sujata T. Bhairnallykar
Address of Applicant :Professor, Derpartment of Computer Engineering, Saraswati
College of Engineering, Kharghar Navi Mumbai ----------- -----------
:G06T7/11, G06N3/0464, G06N3/08,
(51) International classification 3)Rahul Raju Kundiya
G06N20/00, G06F18/22, G06F18/24
Address of Applicant :Assistant Professor, Department of Mechanical Engineering,
(86) International Application
:NA VPM's Maharshi Parshuram College of Engineering, Velneshwar Velneshwar ------
No
:NA ----- -----------
Filing Date
4)Ketan Raju Kundiya
(87) International Publication No : NA
Address of Applicant :Assistant Professor, Department of Computer Engineering,
(61) Patent of Addition to
:NA VPM's Maharshi Parshuram College of Engineering, Velneshwar Velneshwar ------
Application Number
:NA ----- -----------
Filing Date
5)Krushna Damodar Malthankar
(62) Divisional to Application
:NA Address of Applicant :Department of Computer Engineering, VPM's Maharshi
Number
:NA Parshuram College of Engineering, Velneshwar Velneshwar ----------- -----------
Filing Date
6)Aparna Shivkumar Murkar
Address of Applicant :Department of Electronics and Computer Engineering,
VPM's Maharshi Parshuram College of Engineering, Velneshwar Velneshwar ------
----- -----------
7)Gajanan Khapre
Address of Applicant :Department of Electronics and Computer Engineering,
VPM's Maharshi Parshuram College of Engineering, Velneshwar Velneshwar ------
----- -----------
8)Pratiksha Kuldip Patil
Address of Applicant :Lecturer, Department of Instrumentation Engineering,
VPM's Maharshi Parshuram College of Engineering, Velneshwar Velneshwar ------
----- -----------
9)Priti Ravindra Sathe
Address of Applicant :Assistant Professor, Department of Electrical Engineering,
VPM's Maharshi Parshuram College of Engineering, Velneshwar Velneshwar ------
----- -----------
(57) Abstract :
This invention presents an advanced plant leaf disease detection system using deep learning models, specifically EfficientNet-B2, to significantly enhance accuracy and
reliability in identifying plant diseases. The system leverages a dataset of over 87,000 RGB images covering various plant species and diseases. EfficientNet-B2
achieved an impressive accuracy of 93%, precision of 93%, recall of 90%, and an F1-score of 90%. The model’s sensitivity of 99.83% underscores its efficacy in
accurately identifying diseased crops. While the model exhibited overfitting tendencies, future optimizations such as hyper parameter tuning and data augmentation aim
to mitigate this issue. The system’s deployment through mobile applications and UAV platforms promises to offer real-time disease identification in agricultural
settings, thus enabling timely interventions and improved crop management.
No. of Pages : 15 No. of Claims : 3

The Patent Office Journal No. 43/2024 Dated 25/10/2024 98734