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AgriDrone Pro: A Precision Agriculture Drone System for Enhanced Crop Management

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AgriDrone Pro: A Precision Agriculture Drone System for Enhanced Crop Management

ORDINARY APPLICATION

Published

date

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 ID202441083639
Invention FieldCOMPUTER SCIENCE
Date of Application31/10/2024
Publication Number45/2024

Inventors

NameAddressCountryNationality
Ms.N.M.V.NirmalaAssistant Professor, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017IndiaIndia
Mrs.M.KhamarAssistant Professor, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017IndiaIndia
Mr. J. Mallikarjuna RaoB.Tech Student, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017IndiaIndia
Mr.B.AmarnadhB.Tech Student, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017IndiaIndia
Mr.K.NarendraB.Tech Student, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017IndiaIndia
Mr.D.YogeswearB.Tech Student, Department of Information Technology, KKR & KSR Institute of Technology and Sciences (Autonomous), Vinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017IndiaIndia

Applicants

NameAddressCountryNationality
KKR & KSR Institute of Technology and SciencesVinjanampadu, Vatticherukuru Mandal, Guntur District, Andhra Pradesh, India. Pin Code:522017IndiaIndia
KITS Akshar Institute of TechnologyNH-16, Opposite Katuri Medical College, Yanamadala, Guntur District, Andhra Pradesh, India. Pin Code:522019IndiaIndia

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

NameDate
202441083639-COMPLETE SPECIFICATION [31-10-2024(online)].pdf31/10/2024
202441083639-DECLARATION OF INVENTORSHIP (FORM 5) [31-10-2024(online)].pdf31/10/2024
202441083639-DRAWINGS [31-10-2024(online)].pdf31/10/2024
202441083639-FORM 1 [31-10-2024(online)].pdf31/10/2024
202441083639-FORM-9 [31-10-2024(online)].pdf31/10/2024
202441083639-REQUEST FOR EARLY PUBLICATION(FORM-9) [31-10-2024(online)].pdf31/10/2024

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