A self-controlled unmanned aerial vehicle system for farming applications and its working method thereof. Masih, J., Deshpande, M., Singh, H., Malik, B., Malik, N., Dubinsky, Z., Kwasi Bannor, R., Maludin, S., Rajasekaran, R., Neema, R., Singh Lodhi, A., Masih, I., Kwasi, R., & Singh, A. 8, 2021. Paper abstract bibtex The present invention generally relates to a self-controlled
unmanned aerial vehicle system for farming applications and its working
method thereof. The system comprises a cross-configured drone
configured to takeoff upon receiving instructions from a ground control
centre or a transmitter for flying in a complete angle, wherein butterfly
net-wings are attached to proximal ends of the drone. A serial
communication controller configured with a GPS (global positioning
system) guidance unit to receive real-time coordinates from a pre-loaded
trajectory to navigate said drone. A remote sensing camera positioned at
distal end of said drone to monitor plants closely and take images/videos
in a desired frame under stable flight condition configured to deliver
image, audio, and video transmission to said control center and a
prediction unit adapting deep learning approach to diagnose said images
to detect diseases and other problems of plants and to control flight via a
user interface, wherein said user interface comprises preloaded location
coordinates and controlling data for complete controlling via a mission
plan script feature which send threw a ground telemetry module to
aircraft's air telemetry module to avoid human interference in flight
control process.
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@article{
title = {A self-controlled unmanned aerial vehicle system for farming applications and its working method thereof},
type = {article},
year = {2021},
keywords = {A SELF-CONTROLLED UNMANNED AERIAL VEHICLE SYSTEM FOR FARMING APPLICATIONS AND ITS WORKING METHOD THEREOF},
month = {8},
day = {6},
id = {ac1adbe0-85b9-3f9c-93c8-4cb05537996e},
created = {2024-09-24T11:52:35.359Z},
accessed = {2024-09-24},
file_attached = {true},
profile_id = {f1f70cad-e32d-3de2-a3c0-be1736cb88be},
group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},
last_modified = {2024-10-06T11:23:12.936Z},
read = {true},
starred = {false},
authored = {false},
confirmed = {false},
hidden = {false},
folder_uuids = {d1530310-ca4f-487a-aa15-294fe1ffea82},
private_publication = {false},
abstract = {The present invention generally relates to a self-controlled
unmanned aerial vehicle system for farming applications and its working
method thereof. The system comprises a cross-configured drone
configured to takeoff upon receiving instructions from a ground control
centre or a transmitter for flying in a complete angle, wherein butterfly
net-wings are attached to proximal ends of the drone. A serial
communication controller configured with a GPS (global positioning
system) guidance unit to receive real-time coordinates from a pre-loaded
trajectory to navigate said drone. A remote sensing camera positioned at
distal end of said drone to monitor plants closely and take images/videos
in a desired frame under stable flight condition configured to deliver
image, audio, and video transmission to said control center and a
prediction unit adapting deep learning approach to diagnose said images
to detect diseases and other problems of plants and to control flight via a
user interface, wherein said user interface comprises preloaded location
coordinates and controlling data for complete controlling via a mission
plan script feature which send threw a ground telemetry module to
aircraft's air telemetry module to avoid human interference in flight
control process.
20
co C
E E
2 . ,a
2
& E
03 -! C L
Z, 4-f. m
f
4 -LL
2 . -l ir
LoV O4 e jm r 4 -c
ELL
A fo
Z E-f CL4 ' m m1~
-- a
Z, w c aC w -F
09
0 4 . LO u},
bibtype = {article},
author = {Masih, Jolly and Deshpande, Manojkumar and Singh, Harvinder and Malik, Bernard and Malik, Nitin and Dubinsky, Ziv and Kwasi Bannor, Richard and Maludin, Syafrizal and Rajasekaran, Rajkumar and Neema, Ronhit and Singh Lodhi, Abhay and Masih, Inventor and Kwasi, Richard and Singh, Abhay},
number = {12}
}
Downloads: 0
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The system comprises a cross-configured drone \nconfigured to takeoff upon receiving instructions from a ground control \ncentre or a transmitter for flying in a complete angle, wherein butterfly \nnet-wings are attached to proximal ends of the drone. A serial \ncommunication controller configured with a GPS (global positioning \nsystem) guidance unit to receive real-time coordinates from a pre-loaded \ntrajectory to navigate said drone. A remote sensing camera positioned at \ndistal end of said drone to monitor plants closely and take images/videos \nin a desired frame under stable flight condition configured to deliver \nimage, audio, and video transmission to said control center and a \nprediction unit adapting deep learning approach to diagnose said images \nto detect diseases and other problems of plants and to control flight via a \nuser interface, wherein said user interface comprises preloaded location \ncoordinates and controlling data for complete controlling via a mission \nplan script feature which send threw a ground telemetry module to \naircraft's air telemetry module to avoid human interference in flight \ncontrol process. \n20\nco C \nE E \n2 . ,a \n2 \n& E \n03 -! C L \nZ, 4-f. m \nf \n4 -LL \n2 . -l ir \nLoV O4 e jm r 4 -c \nELL \nA fo \nZ E-f CL4 ' m m1~ \n-- a \nZ, w c aC w -F \n09 \n0 4 . 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The system comprises a cross-configured drone \nconfigured to takeoff upon receiving instructions from a ground control \ncentre or a transmitter for flying in a complete angle, wherein butterfly \nnet-wings are attached to proximal ends of the drone. A serial \ncommunication controller configured with a GPS (global positioning \nsystem) guidance unit to receive real-time coordinates from a pre-loaded \ntrajectory to navigate said drone. 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