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Name

: Mohamad Shukri Bin Zainal Abidin

IC No.

: 750317145615

Staff No.

: 7651

Reference No.

: IP/PT/02562

Type of Application

: Patent

Title

: AUTOMATED DEEP LEARNING BASED FUZZY REASONING SYSTEM FOR ROBUST CANTALOUPE GROWTH DETECTION AND ANALYSIS

Self Filing IP

: NO

Endorser

: SYED ABDUL RAHMAN BIN SYED ABU BAKAR

IP Disclosure Form Wizard

IP Disclosure Info

Acceptance

INNOCOMMS

ACCEPTANCE

The information which is provided on this form will be user by the University to access the ownership of the intellectual property rights, potential third party claims to those rights and obligations to external sponsors. Incorrect or incomplete detail could lead, the reduction or loss of commercialization revenues, or the invalidation of patent applications.

I declare that the information which I have provided in this form is, to the best of my knowledge and belief, correct and complete and that the contributors named are all the original creators of this invention/design. I also agree to cooperate in seeking or other legal protection in the name of Universiti/Institution and in the commercialization of this invention/design. I also confirm that I have notified the University/Institution of any conflict of interest which may exist in relation to the invention.






eSubmit status *	:-- agree for submission --
Name of Inventor/Originator/Co-inventor	: MOHAMAD SHUKRI BIN ZAINAL ABIDIN
Category	: Main Inventor / Main Originator
Approximate % Contribution	: 60 %
Acceptance Date	: 10-11-2024






eSubmit status *	:-- agree for submission --
Description	: I accept for submission
Name of Inventor/Originator/Co-inventor	: SIKUDHAN LUCAS MPUHUS
Category	: Co-Inventor / Co-Originator
Approximate % Contribution	: 30 %
Acceptance Date	: 21-08-2024






eSubmit status *	:-- agree for submission --
Name of Inventor/Originator/Co-inventor	: MUHAMMAD NASRULLAH BIN MOHAMAD SHUKRI
Category	: Co-Inventor / Co-Originator
Approximate % Contribution	: 10 %
Acceptance Date	: 25-08-2024

IP Disclosure Info

1 Contributor

#	IC NO	CATEGORY	NAME	CONTRIBUTION PERCENTAGE	PTJ CODE	STATUS STAFF	ACCEPTANCE	COMMENT	ACTION

2 Prior Art

Is there any known earlier work similar to this invention?

#	SIMILARITY	DIFFERENCES

NO.	YEAR	MODULE CODE	TITLE	FILENAME	ACTION

3 Disclosure

i. Past Disclosure / Publication.

Has the invention / design been disclosed or published?

If 'yes', please give details, indicate date of disclosure / publication and attach a copy of the publication.

ii. Intended Disclosure / Publication.

Is it intended to disclose details of the invention / design?

If 'yes', please give details ad indicate date of intended disclosure / publication.

4 Funding

#	Funding Source	Funding Body	FUNDING TYPE	UNIVERSITY REFERENCE NO.	PROJECT LEADER

5 External Collaboration

Has any of this work been carried out elsewhere ?

6 Benefit of Invention

Benefit to society / community

Description of benefit to society / community

The present invention relates to the field of agricultural automation and, more specifically, to a sophisticated system and method for detecting and analyzing the growth stages of cantaloupes using advanced technologies such as deep learning and fuzzy logic. This innovative approach addresses the critical need for precision in monitoring the developmental phases of cantaloupes, facilitating better decision-making and optimization of farming practices. By employing a deep neural network based &nbsp;the system leverages its rapid and accurate object detection capabilities to classify cantaloupe growth stages from images captured under various conditions.

The integration of a fuzzy logic controller further enhances the system&#39;s robustness by effectively managing the inherent uncertainties and variations such as from&nbsp;the temporal and spatial variablity of the data measured in agricultural environments, providing refined and reliable outputs. This dual-technology framework not only automates the labor-intensive and subjective traditional methods but also significantly improves accuracy, consistency, and scalability in agricultural monitoring. The system&#39;s ability to detect and analyze growth stages with high precision is crucial for optimizing harvest timing, improving fruit quality, and preventing disease, ultimately contributing to more sustainable and efficient farming practices. This invention represents a substantial advancement in the field of agricultural automation, offering a powerful tool that integrates the strengths of deep learning and fuzzy logic to meet the demands of modern precision agriculture.

Relevant community for the copyright to be implemented

Benefit to Industry

Description of benefit to industry

Relevant industry(s) for the copyright to be commercialized

7 NABC Scheme

OPENING	What's The Opening? (HOOK) Plant growth monitoring is crucial to ensure high yield. It must be done throughout the season from the seedling stage until harvesting stage. Many factors affecting the plant growth such as weather, irrigation, fertilizer, pest and disease. A proper cultivation plan and management will ensure good growth. However the close monitoring is still required to anticipate unpredictable consequences.
N	What's the important, quantitative customer and market Need? The manual plant monitoring job is laborious, high cost and requires a skilled farmer to understand the plant condition and to take necessary action to maintain the good growth of the plant. An automated solution that can monitor the plant growth condition is needed to overcome these problems
A	What's the specific, quantitative Approach to satisfying that need? Thus an AI based imaging device is introduced to automate the plant monitoring task in real time, automatically and remotely .This invention represents a substantial advancement in the field of agricultural automation, offering a powerful tool that integrates the strengths of deep learning and fuzzy logic to meet the demands of modern precision agriculture
B	What are the Benefits per cost from that approach 1. Significant cost reduction by reducing labor works 2. Consistent timely monitoring and immediate result 3. IoT and cloud based system for remote access
C	Who is the Competitor and what are the alternatives now and in future, and why are your benefits per cost superior? The competitor is from the manual operation from skilled farmers service for the plant monitoring task. The labor cost is very high for every season and larger farm. Using drone for the monitoring provide results only from the flying interval an not real time. The aerial image not providing detail result from the whole plant. Our plant monitoring camera can be installed on the ground, close to the plant and provide seamless imaging data at all time. Thus the detection can done freely anytime without additional and recurring cost,
CLOSING	Closing This technology framework not only automates the labor-intensive and subjective traditional methods but also significantly improves accuracy, consistency, and scalability in agricultural monitoring. The system's ability to detect and analyze growth stages with high precision is crucial for optimizing harvest timing, improving fruit quality, and preventing disease, ultimately contributing to more sustainable and efficient farming practices. This invention represents a substantial advancement in the field of agricultural automation, offering a powerful tool that integrates the strengths of deep learning and fuzzy logic to meet the demands of modern precision agriculture.

9 Invention

Application Title

Field of Research

Invention details

Date Invented

Place Invented

Country of Origin

Patent Description

New use

A Process / Method

A Device

Problem Statement

Problem:

Solution:

Brief description of the invention

The growth detection is done from the images captured by using digital camera. Deep learning engine is used to detect the leaf, flower and fruit from the images captured at different interval along the growth season. Based on the number of detected objects, the growth conditions and health status of the plant are defined using preset&nbsp;rules and knowleedge derrived from experinced farmers&nbsp;

&nbsp;

(ABSTRACT)

The present invention relates to a system (100) for real-time monitoring and analysis of plant growth stages. The system (100) comprises a data acquisition module (102) for capturing plant images, a central server (104) for storing and processing the images, and a user interface (108) for enabling user input. An AI module (110) detects and classifies growth stages, while a fuzzy logic controller, FLC (112) evaluates plant conditions at each growth stage and generates actionable insights. The insights are displayed to the user via the user interface (108) and stored in a storage module (114). The FLC (112) refines classification results, correlates growth stages with time, analyses growth patterns, detects anomalies, and provides insights to optimize plant care. The present invention further discloses a method (200) for realtime monitoring and analysis of plant growth stages that involves capturing, storing, processing, and analysing plant images, facilitating real-time monitoring and cultivation management.

Full Description of Invention

NO.	YEAR	MODULE CODE	TITLE	FILENAME	ACTION

10 Declaration Info

eSubmit status	:-- agree for submission --
Name of Inventor/Originator/Co-inventor	: MOHAMAD SHUKRI BIN ZAINAL ABIDIN
Category	: Main Inventor / Main Originator
Approximate % Contribution	: 60 %
Acceptance Date	: 10-11-2024
Remark to ICC Secretariat (if any)	The monitoring of cantoupe growth is new. The invention has been successfully developed and tested in real time. However, several claims need further clarification: 1. The readiness of the technology on field testing with real customers. Please clarify who these targeted customers are. 2. The system claimed to effectively able to manage inherent uncertainties and variations in agricultural environment. Please state what these inherent uncertainties and variations are in agricultural environment.

eSubmit status	:-- agree for submission --
Name of Inventor/Originator/Co-inventor	: SIKUDHAN LUCAS MPUHUS
Category	: Co-Inventor / Co-Originator
Approximate % Contribution	: 30 %
Acceptance Date	: 21-08-2024

eSubmit status	:-- agree for submission --
Name of Inventor/Originator/Co-inventor	: MUHAMMAD NASRULLAH BIN MOHAMAD SHUKRI
Category	: Co-Inventor / Co-Originator
Approximate % Contribution	: 10 %
Acceptance Date	: 25-08-2024

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IP Disclosure - Personal Information

IP Disclosure Form Wizard

ACCEPTANCE

IP Disclosure Info

i. Past Disclosure / Publication.

ii. Intended Disclosure / Publication.

Benefit to society / community

Benefit to Industry

Innocomm Evaluation

1. Patent Protection (strenght of patent)

2. Readiness of the technology

3. Value of the Market

4. Anticipated profit margins (if considering a license, score on the anticipated royalty rate)

5. Intensity of Competition in the Market

6. Competitive Edge of your product or service/unique selling point

7. Ease of access to the Market

8. Commitment and motivation of the team

9. Business Management and Industry Experience

Application Title

Invention details

Patent Description

Problem Statement

Brief description of the invention

Full Description of Invention