AU2020101843A4 - A system monitoring for harvesting of farming using drone technology - Google Patents

A system monitoring for harvesting of farming using drone technology Download PDF

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Publication number
AU2020101843A4
AU2020101843A4 AU2020101843A AU2020101843A AU2020101843A4 AU 2020101843 A4 AU2020101843 A4 AU 2020101843A4 AU 2020101843 A AU2020101843 A AU 2020101843A AU 2020101843 A AU2020101843 A AU 2020101843A AU 2020101843 A4 AU2020101843 A4 AU 2020101843A4
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AU
Australia
Prior art keywords
module
drone
monitoring
crop growth
camera
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
AU2020101843A
Inventor
Christo Ananth
Thangam C.
Vinothkumar C.
Stalin Jacob
Aaron James S.
Electa Alice Jayarani. A.
Densy John Vadakkan
R.Uma Maheshwari
Parashiva Murthy B. M.
Priya N.
Narasimman P.
Anupama Prasanth
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
John Vadakkan Densy Ms
Prasanth Anupama Ms
Ananth Christo Dr
C Thangam Ms
Jayarani A Electa Alice Ms
Maheshwari RUma Ms
N Priya Ms
Original Assignee
John Vadakkan Densy Ms
Prasanth Anupama Ms
Ananth Christo Dr
C Thangam Ms
Jayarani A Electa Alice Ms
Maheshwari R Uma Ms
N Priya Ms
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by John Vadakkan Densy Ms, Prasanth Anupama Ms, Ananth Christo Dr, C Thangam Ms, Jayarani A Electa Alice Ms, Maheshwari R Uma Ms, N Priya Ms filed Critical John Vadakkan Densy Ms
Priority to AU2020101843A priority Critical patent/AU2020101843A4/en
Application granted granted Critical
Publication of AU2020101843A4 publication Critical patent/AU2020101843A4/en
Ceased legal-status Critical Current
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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64C—AEROPLANES; HELICOPTERS
    • B64C39/00—Aircraft not otherwise provided for
    • B64C39/02—Aircraft not otherwise provided for characterised by special use
    • B64C39/024—Aircraft not otherwise provided for characterised by special use of the remote controlled vehicle type, i.e. RPV
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
    • A01B79/00—Methods for working soil
    • A01B79/005—Precision agriculture
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24—Earth materials
    • G01N33/245—
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G—PHYSICS
    • G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B15/00—Special procedures for taking photographs; Apparatus therefor
    • G03B15/006—Apparatus mounted on flying objects
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0033—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by having the operator tracking the vehicle either by direct line of sight or via one or more cameras located remotely from the vehicle
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Mining
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2101/00—UAVs specially adapted for particular uses or applications
    • B64U2101/30—UAVs specially adapted for particular uses or applications for imaging, photography or videography
    • G—PHYSICS
    • G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B30/00—Camera modules comprising integrated lens units and imaging units, specially adapted for being embedded in other devices, e.g. mobile phones or vehicles
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0088—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours

Abstract

A SYSTEM MONITORING FOR HARVESTING OF FARMING USING DRONE TECHNOLOGY The present disclosure provides a system for monitoring and controlling farming using drone technology comprising a drone system (101) for monitoring the farm and transmitting information and a ground control system (106) for controlling the drone system and receiving the information. A camera (102) is provided in the drone system (102) for capturing images and video, a GPS module (103) is provided in the drone system (101) for locating image and video captured by the camera, a sensor module (104) is provided in the drone system (101) for measuring parameters of temperature, humidity, gas and pH. A microcontroller (105) is provided in the ground control system (106) for processing the parameters and transmitting to an artificial intelligence module (108) and the artificial intelligence module (108) is configured for determining present crop growth and predicting future crop growth in the farm based on the data. Fig. 1 1/2 100 Drone system 101 Camera 102 GPS 103 Sensor module 104 Microcontroller 105 t Ground control system 106 Control module 107 Artificial intelligence module 108 Crop growth monitoring module 109 Crop growth predicting module 110 Database 111 Display 112 Fig. 1

Description

1/2
100
Drone system 101 Camera 102
GPS 103
Sensor module 104
Microcontroller 105
t Ground control system 106
Control module 107
Artificial intelligence module 108 Crop growth monitoring module 109
Crop growth predicting module 110
Database 111
Display 112
Fig. 1
A SYSTEM MONITORING FOR HARVESTING OF FARMING USING DRONE TECHNOLOGY FIELD
[0001] The embodiments herein generally relate to a system for monitoring
harvesting. More particularly, the disclosure relates to a drone system for
monitoring harvesting in farming.
BACKGROUND AND PRIOR ART
[0002] Agriculture is a laborious activity involving various factors for producing
efficient yield and improved crop growth. Most of the agricultural activities are
performed manually, thereby consuming huge amount of time with reduced
accuracy.
[0003] Crop growth in a farm needs to be regularly monitored for ensuring
enhanced harvest. The monitoring data needs to be determined on a daily basis for
faster detection of abnormal and unhealthy growth. Timely and early detection of
changes or differences in crops and their characteristics help in effective treatment
strategies and improving farm efficiency. Generally, the available methods used in
agriculture do not provide point to point real-time data with extensive and vast
coverage for monitoring and identifying harvesting.
[0004] Therefore, there is a need for an improved system for monitoring of
harvesting in a farm. Moreover, there is a need for an efficient system of
monitoring for harvesting of farming using drone technology.
OBJECTS
[0005] Some of the objects of the present disclosure are described herein below:
[0006] The main objective of the present disclosure is to provide a system for
monitoring of harvesting in farming.
[0007] Another objective of the present disclosure is to provide a drone system
for monitoring of harvesting in farming.
[0008] Still another objective of the present disclosure is to provide a drone
system for predicting and monitoring crop growth in a farm.
[0009] Yet another objective of the present disclosure is to provide a real-time
monitoring system for harvesting of farming using drone system with artificial
intelligence.
[00010] The other objectives and advantages of the present disclosure will be
apparent from the following description when read in conjunction with the
accompanying drawings, which are incorporated for illustration of preferred
embodiments of the present disclosure and are not intended to limit the scope
thereof.
SUMMARY
[00011] In view of the foregoing, an embodiment herein provides a system for
monitoring for harvesting of farming using drone technology.
[00012] In accordance with an embodiment, the system for monitoring for
harvesting of farming using drone technology includes a drone system for
monitoring the farm and transmitting information, a ground control system for
controlling the drone system and receiving the information, a camera provided in
the drone system for capturing images and video of crops, GPS module provided
in the drone system for locating image and video captured by the camera. A
sensor module is provided in the drone system including a temperature sensor, a
humidity sensor, a gas sensor and a pH sensor for measuring parameters of
temperature, humidity, gas and pH. A microcontroller is provided in the ground
control system for processing the parameters and transmitting to an artificial intelligence module and the artificial intelligence module is configured for determining present crop growth and predicting future crop growth in the farm based on the data.
[00013] In accordance with an embodiment, the ground control system includes a
control module, an artificial intelligence module and a database. In an
embodiment, the artificial intelligence module includes a crop growth monitoring
module for monitoring crops in the farm and a crop growth predicting module for
predicting growth of the crops based on the parameters from the sensor module
and images/videos captured by the camera.
[00014] In accordance with an embodiment, the database is provided for storing
images and videos captures by the camera, location provided by GPS module and
parameters of the crops measured by the sensor module.
[00015] In accordance with an embodiment, the ground control system controls
the drone system remotely using a control module.
[00016] These and other aspects of the embodiments herein will be better
appreciated and understood when considered in conjunction with the following
description and the accompanying drawings. It should be understood, however,
that the following descriptions, while indicating preferred embodiments and
numerous specific details thereof, are given by way of illustration and not of
limitation. Many changes and modifications may be made within the scope of the
embodiments herein without departing from the spirit thereof, and the
embodiments herein include all such modifications.
BRIEF DESCRIPTION OF DRAWINGS
[00017] The detailed description is set forth with reference to the accompanying
figures. In the figures, the left-most digit(s) of a reference number identifies the
figure in which the reference number first appears. The use of the same reference
numbers in different figures indicates similar or identical items.
[00018] Fig.1 illustrates a system of monitoring for harvesting of farming using
drone technology, according to an embodiment herein; and
[00019] Fig.2 illustrates the sensor module in the system of monitoring for
harvesting of farming using drone technology, according to an embodiment.
LIST OF NUMERALS
100 - System of monitoring for harvesting of farming using drone technology
101 - Drone system
102 - Camera
103 - GPS module
104 - Sensor module
105 - Microcontroller
106 - Ground control system
107 - Control module
108 - Artificial intelligence module
109 - Crop growth monitoring system
110 - Crop growth predicting system
111 - Database
112 - Display module
113 - Hospital device
201 - Temperature sensor
202 - Humidity sensor
203 - Gas sensor
204 - pH sensor
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[00020] The embodiments herein and the various features and advantageous
details thereof are explained more fully with reference to the non-limiting
embodiments and detailed in the following description. Descriptions of well
known components and processing techniques are omitted so as to not
unnecessarily obscure the embodiments herein. The examples used herein are
intended merely to facilitate an understanding of ways in which the embodiments
herein may be practiced and to further enable those of skill in the art to practice
the embodiments herein. Accordingly, the examples should not be construed as
limiting the scope of the embodiments herein.
[00021] As mentioned above, there is a need to provide an improved system for
monitoring crops in farming using drones. In particular, there is a need for an
efficient system for remotely and real-time monitoring of crops in farming, using
drone technology. The embodiments herein achieve this by providing "Monitoring
for harvesting of farming using drone technology". Referring now to the
drawings, and more particularly to Fig.1 through Fig. 2, where similar reference
characters denote corresponding features consistently throughout the figures, there
are shown preferred embodiments.
[00022] Fig.1 illustrates a system of monitoring for harvesting of farming using
drone technology, according to an embodiment.
[00023] The system includes a drone system 101 and a ground control system
106. The ground control system 106 controls the drone system 101 remotely,
through a wireless network.
[00024] The drone system 101 is an unmanned aerial vehicle for flying over the
crops in a farm based on the control from the ground control system 105. The
drone system 101 includes a camera 102, a GPS 103, a sensor module 104 and a
microcontroller 105. The camera 102 is provided for capturing images and videos
of crops in the camera. The camera 102 is a 360 rotatable camera for capturing
images and videos in any direction and position. The camera 102 includes a
thermal infrared setting for viewing thermal changes in the crop for identifying
pest infestation.
[00025] The GPS 103 is provided for identifying a location of the drone. The
GPS 103 identifies a location corresponding to the image and video captured by
the camera 102.
[00026] The sensor module 104 is provided for detecting and measuring
parameters in the farm. The measured parameters influence health, growth and
harvest of crops and impact efficiency and yield of harvesting of crops. The
sensor module 104 transmits the measured parameters to the microcontroller 105.
[00027] The microcontroller 105 processes the measured parameters and
transmits the data to the ground control system 105 remotely.
[00028] The ground control system 106 includes a control module 107, an
artificial intelligence module 108 and a database 111. The control module 107 is
provided for controlling the movement of the drone 101, capturing images and
videos using the camera 102 and capturing location using the GPS 103.
[00029] The artificial intelligence module 108 is provided for determining present
crop growth and predicting future crop growth in the farm based on the images
and videos received from the camera 102 and measured parameters of the sensor module 104 received from the microcontroller 105. The artificial intelligence module includes a crop growth monitoring module 109 and a crop growth predicting module 110.
[00030] The crop growth monitoring module 109 is provided for monitoring crop
growth in the farm. The crop growth monitoring module 109 includes an internal
database of standard crop growth rate. Based on the images and videos obtained
from the camera 102 and parameters obtained from the sensor module, the crop
growth rate monitoring module 109 processes the images and videos, analyses the
parameters and compares the present growth of the crop based on the standard
crop growth rate stored. On identifying an abnormal increase or decrease in the
growth rate, the module 109 generates an alert. The alert is displayed as a text on
a display 112.
[00031] The crop growth predicting module 110 is provided for predicting a
future growth of the crop in the farm based on the images and videos received
from the camera 102 and measured parameters of the sensor module 104 received
from the microcontroller 105. The crop growth predicting module 110 analyses a
present growth of the crop corresponding to the parameters obtained from the
sensor module 104 and the images and videos obtained from the camera 102.
Based on the analyzed present growth data, the crop growth predicting module
110 predicts a future growth corresponding to the current parameters obtained
from the sensor module 104 and images and videos obtained from the camera 102.
[00032] The database 111 is provided for storing images and videos captured by
the camera 102 with location obtained from GPS 103 and parameters of sensor
module 104 received from the microcontroller 105.
[00033] The display is provided for displaying current parameters of sensor
module 104 and alert obtained from crop growth monitoring module 109.
[00034] Fig. 2 illustrates the sensor module in the system of monitoring for
harvesting of farming using drone technology, according to an embodiment.
[00035] The sensor module 103 includes a temperature sensor 201, a humidity
sensor 202, a gas sensor 203 and a pH sensor 204. The temperature sensor 201 is
provided for measuring a temperature of the environment in the farm.
Temperature is an important parameter affecting growth of a crop wherein an
increase or decrease in temperature can adversely or favorably influence crops in
a farm. The humidity sensor 202 is provided for measuring humidity of the
environment in the farm. Based on the humidity levels, the irrigation for crops in
the farm is adjusted. The gas sensor 203 is provided for measuring concentration
of gases present in the farm such as carbon dioxide and methane. The pH sensor
204 is provided for measuring the pH level of soil. The pH of soil varying from
acidic to alkaline is influential towards growth of the crop.
[00036] The measured parameters from the sensor module 104 are transmitted to
the microcontroller 105 for processing the parameters. The microcontroller 105
transmits the parameters to the ground control system 106. The parameters are
sent to the artificial intelligence module 108 for crop growth monitoring and
predicting and to the database 111 for storing.
[00037] A main advantage of the present disclosure is that the system provides a
monitoring for harvesting of farming using drone.
[00038] Another advantage of the present disclosure is that the system predicts
crop growth using artificial intelligence.
[00039] Still another advantage of the present disclosure is that the system
provides remote and real-time crop monitoring.
[00040] Yet another advantage of the present disclosure is that the system
provides alerts based on pest infestation and abnormal crop growth in the farm
[00041] The foregoing description of the specific embodiments will so fully
reveal the general nature of the embodiments herein that others can, by applying
current knowledge, readily modify and/or adapt for various applications such
specific embodiments without departing from the generic concept, and, therefore,
such adaptations and modifications should and are intended to be comprehended
within the meaning and range of equivalents of the disclosed embodiments. It is to
be understood that the phraseology or terminology employed herein is for the
purpose of description and not of limitation. Therefore, while the embodiments
herein have been described in terms of preferred embodiments, those skilled in the
art will recognize that the embodiments herein can be practiced with modification
within the spirit and scope of the embodiments as described herein.
Editorial Note 2020101843 There is only two pages of the claim

Claims (5)

We claim:
1. A system for monitoring for harvesting of farming using drone technology,
comprising:
a drone system (101) for monitoring crops in a farm and transmitting information;
a ground control system (106) for controlling the drone system and receiving the
information;
a camera (102) provided in the drone system (102) for capturing images and video of
the crops;
a GPS module (103) provided in the drone system (101) for locating image and video
captured by the camera;
characterized in that
a sensor module (104) provided in the drone system (101) including a temperature
sensor (201), a humidity sensor (202), a gas sensor (203) and a pH sensor (204)for
measuring parameters of temperature, humidity, gas and pH;
a microcontroller (105) provided in the ground control system (106) for processing
the parameters and transmitting to an artificial intelligence module (108); and
the artificial intelligence module (108) configured for determining present crop
growth and predicting future crop growth in the farm based on the data.
2. The system as claimed in claim 1, wherein the ground control system (106)
includes a control module (107), an artificial intelligence module (108), a database
(111) and a display (112).
3. The system as claimed in claim 2, wherein the artificial intelligence module (108)
includes a crop growth monitoring module (1098) for monitoring crops in the farm
and a crop growth predicting module (110) for predicting growth of the crops based
on the parameters from the sensor module (104) and images from the camera (102).
4. The system as claimed in claim 2, wherein the database (110) is provided for
storing images and videos captures by the camera (101), location provided by GPS
(102) and parameters of the crops measured by the sensor module (103).
5. The system as claimed in claim 1, wherein the ground control system (105)
controls the drone system (101) remotely using a control module (106).
AU2020101843A 2020-08-15 2020-08-15 A system monitoring for harvesting of farming using drone technology Ceased AU2020101843A4 (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113834524A (en) * 2021-09-10 2021-12-24 盐城思途云智能科技有限公司 Method for marking and analyzing scanned image based on big data
CN113996557A (en) * 2021-11-01 2022-02-01 中国农业科学院郑州果树研究所 Trellis grape online monitoring system and monitoring method
CN115152528A (en) * 2022-06-28 2022-10-11 江苏国耳生物科技有限公司 Growth progress monitoring system and method for growth of edible fungus bags

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113834524A (en) * 2021-09-10 2021-12-24 盐城思途云智能科技有限公司 Method for marking and analyzing scanned image based on big data
CN113996557A (en) * 2021-11-01 2022-02-01 中国农业科学院郑州果树研究所 Trellis grape online monitoring system and monitoring method
CN113996557B (en) * 2021-11-01 2024-02-06 中国农业科学院郑州果树研究所 Online monitoring system and method for trellis grape
CN115152528A (en) * 2022-06-28 2022-10-11 江苏国耳生物科技有限公司 Growth progress monitoring system and method for growth of edible fungus bags

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