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AgriDrone Pro: A Precision Agriculture Drone System for Enhanced Crop Management
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Abstract
Information
Inventors
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Specification
Documents
ORDINARY APPLICATION
Published
Filed on 31 October 2024
Abstract
The present invention relates to AgriDrone Pro: A Precision Agriculture Drone System for Enhanced Crop Management. AgriDrone Pro is a precision agricultural drone designed to enhance crop management through early disease detection, targeted chemical application, and real-time data transmission. Using advanced IoT and Arduino technologies, the system features a multispectral camera, environmental sensors, and a chemical sprayer with both uniform and targeted modes. AgriDrone Pro captures high-resolution images to detect crop issues, provides fertilizer recommendations based on environmental conditions, and integrates with farm management systems for data-driven decision-making. Its high-capacity battery and sprayer ensure extended operation times. This innovation supports sustainable farming by reducing chemical use, improving crop health, and increasing yields. Accompanied Drawing [FIG. 1]
Patent Information
Application ID | 202441083639 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 31/10/2024 |
Publication Number | 45/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Ms.N.M.V.Nirmala | Assistant Professor, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017 | India | India |
Mrs.M.Khamar | Assistant Professor, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017 | India | India |
Mr. J. Mallikarjuna Rao | B.Tech Student, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017 | India | India |
Mr.B.Amarnadh | B.Tech Student, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017 | India | India |
Mr.K.Narendra | B.Tech Student, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017 | India | India |
Mr.D.Yogeswear | B.Tech Student, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017 | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
KKR & KSR Institute of Technology and Sciences | Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017 | India | India |
KITS Akshar Institute of Technology | NH-16, Opposite Katuri Medical College, Yanamadala, Guntur District, Andhra Pradesh, India. Pin Code:522019 | India | India |
Specification
Description:[001] This invention relates to the field of agricultural technology, particularly to precision farming and crop management systems. It utilizes drone-based IoT technology and multispectral imaging to monitor crop health, detect diseases, and apply agricultural chemicals. The invention aims to improve resource efficiency, reduce environmental impact, and increase yields through real-time data analysis and targeted interventions.
BACKGROUND OF THE INVENTION
[002] The following description provides the information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[003] Traditional farming practices are limited by several inefficiencies, especially in disease detection, pest control, and fertilizer application. Farmers often face delays in identifying crop diseases or pest infestations, leading to incre , Claims:1. An agricultural drone system for precision farming, comprising:
• A multispectral camera configured to capture high-resolution images for disease detection.
• Environmental sensors for real-time measurement of temperature, humidity, and soil moisture.
• A chemical sprayer capable of both uniform and targeted application modes.
• A real-time data transmission module for integrating sensor data with farm management systems.
2. The agricultural drone system of claim 1, wherein the multispectral camera is configured to detect crop diseases by analyzing reflectance across different spectral bands.
3. The agricultural drone system of claim 1, further comprising an Arduino-based control system for processing environmental sensor data and controlling the chemical sprayer.
4. The agricultural drone system of claim 1, wherein the chemical sprayer includes a 15-liter reservoir and is designed to operate in:
Uniform mode, for full-field chemical application.
Targeted mode, for application in specific areas based on
Documents
Name | Date |
---|---|
202441083639-COMPLETE SPECIFICATION [31-10-2024(online)].pdf | 31/10/2024 |
202441083639-DECLARATION OF INVENTORSHIP (FORM 5) [31-10-2024(online)].pdf | 31/10/2024 |
202441083639-DRAWINGS [31-10-2024(online)].pdf | 31/10/2024 |
202441083639-FORM 1 [31-10-2024(online)].pdf | 31/10/2024 |
202441083639-FORM-9 [31-10-2024(online)].pdf | 31/10/2024 |
202441083639-REQUEST FOR EARLY PUBLICATION(FORM-9) [31-10-2024(online)].pdf | 31/10/2024 |
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