ArticlePDF Available

Corn Seeding Robot

Authors:
  • Kathford International College of Engineering and Management, Tribhuvan University, Nepal

Abstract and Figures

This paper deals with the development of a robot in agricultural applications. Corn Seeding Robot is an embedded system that is designed to dig, drop and cover the corn seed in the farming field which is an alternative tool of manual farming. This project aims at designing and implementing a low-cost corn seeding robotic vehicle. It is designed in such a way that the robotic vehicle is connected with the smart phone which can control the robotic vehicle via Bluetooth. The system is programmed in a way that it can plough, drop and cover the corn seed in forwarding movement only. This robot is composed of both electronics and mechanical system; the microcontroller-based electronics system drives the robotic vehicle in the field and also drops the corn seed accordingly using relay and dc motor. The plougher/digger is integrated between the robotic vehicle and corn seed dropper so that it can dig the soil and the soil puller part is mechanically integrated with back side of the robot so that it can cover the corn seed. It is applicable for farming the corn seeds.
Content may be subject to copyright.
NCE Journal of Engineering, Volume 1, Issue 1, 2019
1
Corn Seeding Robot
Bhuwan Basnet a, Saban Kumar K.C.b
a, b Department of Computer and Electronics, Communication & Information Engineering, Kathford International College of
Engineering & Management , Lalipur, Nepal
Corresponding Email : a kajibhuwan.basnet@gmail.com b er.saban@kathford.edu.np
Abstract this paper deals with the development of a robot
in agricultural applications. Corn Seeding Robot is an
embedded system that is designed to dig, drop and cover the
corn seed in the farming field which is an alternative tool of
manual farming. This project aims at designing and
implementing a low-cost corn seeding robotic vehicle. It is
designed in such a way that the robotic vehicle is connected
with the smart phone which can control the robotic vehicle via
Bluetooth. The system is programmed in a way that it can
plough, drop and cover the corn seed in forwarding movement
only. This robot is composed of both electronics and
mechanical system; the microcontroller-based electronics
system drives the robotic vehicle in the field and also drops the
corn seed accordingly using relay and dc motor. The
plougher/digger is integrated between the robotic vehicle and
corn seed dropper so that it can dig the soil and the soil puller
part is mechanically integrated with back side of the robot so
that it can cover the corn seed. It is applicable for farming the
corn seeds.
Keywords Corn Seeding, Robot, Agriculture, Smartphone,
Bluetooth
I. INTRODUCTION
The integration of electronic devices with agriculture
tools and product results in systematic agriculture. This is
one of the proper ways of planting the corn seed with
automated low-cost system in the country like Nepal. The
process of ploughing, dropping and pulling in the agriculture
field based on corn seeding system was traditional. So, a
modern and reliable method or system for ploughing
dropping and pulling in agriculture field is introduced so that
farmer can do all the mention process by using Smart phone
covering all the area of the field. One of the major areas
where the proposed system can be reliable is soft soil
bounded areas where farmer can use this robotic vehicle
easily. The use of “Corn Seeding Robot” has been growing
rapidly in foreign countries where corn seed is dropped in the
agriculture field and planted by robotic vehicle.
Since long ago in Nepal traditional method has been used
in agriculture. This manual planting is popular in the villages
of Nepal. The agriculture is the backbone of Nepal and for
sustainable growth of development of the nation, agriculture
plays vital role. Nepal has potential consuming population
and day by day it is growing thus demand for food is also
increasing. Hence there is need for developing such a
machine which will help the farmer to reduce his efforts
while planting. This process of using machines is called as
mechanization. Along with mechanization automation also
helps to increase the efficacy of the process.
Further, ATmega328p, motor driver, relay, dc motors are
of low cost, which can work smoothly and can be
implemented in the agricultural field and has been used in
wide ranges of application.
II. LITERATURE REVIEW
Various researches are conducted in this field. Some of
the existing literature is represented here. The idea of robotic
agriculture (agricultural environments serviced by smart
machines) is not a new one [1]. K. Saravanan et al. [2]
mentioned the use of proximity and IR sensors for sowing
Chickpeas seeds automatically. As G. Venkatesh et al.
notes:
The main purpose of mechanization in agriculture is to
improve overall productivity and production. Planting is
conventionally done manually which involves both animate
(humans and draught animals), this result in higher cost of
cultivation and delay in planting [3, p. 382].
According to [4] the suitable distance between the plants for
corn is 12-25 cm and the planting depth obtained is 2-4 cm.
As seen in [5] the design detail of an autonomous robot
which is developed for viewing the constraints imposed by
agriculture fields. As demonstrated in [6], Fendt Xaver corn
robot navigates with satellite and cloud data management
which provides the accurate recording of the planting time
and exact position of each seed.
Similarly, J. J. Roldán et al. [7] discussed an autonomous
mobile robot used for various field operation like it can be
used for capturing and processing high quantities of data
and can provide capability of not only individual plant but
also a complete field. According to a review [8], the five
important operations for agricultural task which are tilling,
soil analysis, seeding and transplanting, corn scouting and
control and finally harvesting. The smart farm is agricultural
based project which is based on three categories: drones,
autonomous robot and Internet of Things (IOT) [9].
L. Haibo et al [10] demonstrated the wheat precision
seeding robot designed using four wheel drive so that
control system could control the movement of robot as well
as picking up and the seed of wheat and adjusted the
pressure of the vacuum chamber. As explained in [11]
robotic machines to pick everything from strawberries to
apple also involves small robot fleets operating in swarms.
Implementation of digital farming and site specific precision
management depends not only on sensor but also on
continuous collection of field data [12].
For designing an autonomous ground vehicle,
ATMEGA328 microcontroller is used to control the vehicle
direction and the direction of path is followed by using a
compass module [13]. According to [14] the solar operated
automatic seed sowing machine is demonstrated for the
digging, seed sowing, water pouring and fertilizing. This
NCE Journal of Engineering, Volume 1, Issue 1, 2019
2
plant factories in Japan which produce high quality of
vegetables free of diseases, insect damage and run with little
human intervention. The use of Unmanned Aerial Vehicle
(UAV) that quantify the distance between maize plants at
field scale that affects the final grain yield in row crops
[15].
III. METHODOLOGY
IV.
Fig.1. Block diagram of the system
In the above block diagram, the 12V power supply is
given to the motor driver L298N so that the driver can drive
the 4 dc- motor simultaneously by amplifying current. The
motor driver also gives 5V power supply to the At-mega 328
micro-controller so that dc motors can be controlled. The
Bluetooth device HC-08 is also interfaced with micro-
controller so that the robotic vehicle can be controlled using
Smart phone. The relay is also interfaced with At-mega 328
so that the motor integrated at corn seed dropping section can
be controlled by the user.
Fig.2. Flowchart of the system
In the above flowchart, initially the robotic vehicle is
initialized and make ready to work in agriculture filed and
then the robotic vehicle is connected with the smart phone
for the controlling of the system. Afterwards, if the vehicle is
connected then it starts to move and if the robotic vehicle
moves in forwarding direction then the plougher which is
integrated between the robotic vehicle and corn seed
dropping section will plough the field so that the corn can
ATmega328p
Motor Driver L298N
5V 12V
DC Motor-2
Bluetooth device
HC-08
Power
Supply
12 V
DC
battery
1100
mAH
Corn Seed
Dropper
DC Motor-
1
Relay
5V
DC Motor-3
DC Motor-4
DC Motor-5
Yes
No
Yes
Stop
Plough the field 5cm depth
Cover the seed
Is robot
moves
forward?
Corn seeding at 30cm apart
Initialize
the robot
Connect smart phone
with robot using
Bluetooth.
Is robot
connects
with smart
phone?
Start
No
NCE Journal of Engineering, Volume 1, Issue 1, 2019
3
drop into the soil from dropping section at the specified
distance. Finally, the soil puller which is integrated at the last
section of the vehicle will cover the corn seed
simultaneously.
V. RESULTS AND DISCUSSION
A. Development of smartphone based wireless robotic
vehicle
Fig. 3. Top view of the robotic vehicle
The overall system is shown in figure 3. It consists of a
microcontroller, Motor Driver, DC-Motor, Relay, Bluetooth
module HC-05. The robotic vehicle is 23 cm long and 25 cm
breadth covering the overall area of 575 cm2 area. This
vehicle is operated through 12 V Lipo-Battery to move in the
required direction.
B. Interfacing the soil plougher, seed droper and seed
cover
Fig.4. Plougher interfacing with the robotic vehicle
In this “Corn Seeding Robot” there is another major
section such as i.e. Plougher/Digger which is a mechanical
device integrated between robotic vehicle and the corn seed
dropper that plough the soft soil enough for corn seed when
the vehicle moves forward direction.
Fig.5. Corn seed dropper with seed cover
The corn seed dropper drops the corn seed at the
specified distance when the vehicle moves in its direction
and also covers the dropped corn when the robotic vehicle
moves in the forward direction.
C. Final prototype
Fig.5. Top view of the prototype
The final prototype consists of smartphone controlled
wireless robotic vehicle which moves in four directions
according to the user but the forward direction is preferable
for the seeding process, the plougher which plough the field
and corn seed dropper which drops the corn seed at a
specified distance operated by a dc motor, and the seed
cover.
Robotic
vehicle
Microcontroller
with Bluetooth
module
Soil
Puller/Cover
Corn seed
dropper
NCE Journal of Engineering, Volume 1, Issue 1, 2019
4
D. Field test
Fig.5. Prototype testing
Testing of the prototype is done on the soft soil of the
Lalitpur area and with the real corn seeds. It is found that the
prototype achieved the desired functions i.e. controlling the
robotic vehicle with smartphone is done successfully.
Similarly, digging the soft soil with specified depth is
achieved. Also, dropping the corn seed at specified distance
is done with covering the seeds properly.
The designed prototype also has few limitations such as the
wireless range of robot is limited up to 10 m because of the
use of the Bluetooth technology which is favorable for short
range data transfer. A user is always required for its
operation since the designed robot isn’t autonomous.
VI. CONCLUSION
The present agrobot models are based upon the heavy
types of machinery, which require skilled manpower also
causes environmental pollution. The major application of
these robots is at the harvesting stage, digging, and seeding.
This project also represents a robot capable of performing
operations like automatic ploughing, seed dispensing and
covering. The control of the robot is manual. With the few
centimeters in the distances defined, robot successfully
covers distances between crops. Less complexity in the
mechanical design and smartphone based control technique
makes the system of lower cost and less bulky compared to
conventional system. In future, the system can be modified
for automatic operation using sensors. It can be used for
planting other seed like wheat, grains etc. with proper
arrangements.
ACKNOWLEDGMENT
We would like to thank the Kathford family for giving
us a platform for developing and testing the prototype and
also thanks to everyone who helped us during the project
work.
REFERENCES
[1] V. Bora, K. Raut, "Assessmet of fruit Maturity," International
International Journal of Science Technology & Engineering, vol. 3,
no. 01, July. 2016.
[2] K. Saravanan et al.,"Design And Fabrication Of Automatic Seed
Sowing Robot For Agriculture Field," International Journal of Pure
and Applied Mathematics, vol. 120, 2018.
[3] G. Venkatesh et al., "Multi Operational Vehicle for Maize
Plantation," International Journal of Recent Trends in Engineering &
Research,, vol. 3, May, 2017, pp. 382-387.
[4] V. T. Swapnil et al., "Design and Fabrication of Seed Sowing
Machine," International Research Journal of Engineering and
Technology(IRJET), vol. 04, no. 09, pp. 704-707, Sep. 2017.
[5] M. U. Hassan, M. Ullah and J. Iqbal, "Towards autonomy in
agriculture: Design and prototyping of a robotic vehicle with seed
selector," 2016 2nd International Conference on Robotics and
Artificial Intelligence (ICRAI), Rawalpindi, 2016, pp. 37-44.
[6] P. Hill, "Fendt proposes swarm robots for corn planting," 3 October
2017. [Online]. Available:
https://www.futurefarming.com/Machinery/Articles/2017/10/Fendt-
proposes-swarm-robots-for-corn-planting-3572WP/. [Accessed 10 8
2019].
[7] J. J. Roldán et al., "Robots in Agriculture: the State of Art and
Practical Experiences," 20, Dec. 2017. [Online]. Available:
https://www.intechopen.com/books/service-robots/robots-in-
agriculture-state-of-art-and-practical-experiences.
[8] K. R. Aravind, P. Raja and M. Perez-Ruiz, "Task-based agricultural
mobile robots in arable farming," Spanish Journal of Agricultural
Research, vol. 15, 2017.
[9] M. Brown, "Smart Farming- Automated and Connected Agriculture,"
15 March 2018. [Online]. Available:
https://www.engineering.com/DesignerEdge/DesignerEdgeArticles/A
rticleID/16653/Smart-FarmingAutomated-and-Connected-
Agriculture.aspx. [Accessed 5 8 2019].
[10] L. Haibo et al., “Study and Experiment on a Wheat Precision Seeding
Robot,” Journal of Robotics, vol. 2015, Article ID 696301, 9 pages,
2015. https://doi.org/10.1155/2015/696301
[11] J. Daniels, "From strawberries to apples, a wave of agriculture
robotics may ease the farm labor crunch," 8 March 2018. [Online].
Available: https://www.cnbc.com/2018/03/08/wave-of-agriculture-
robotics-holds-potential-to-ease-farm-labor-crunch.html. [Accessed
2019].
[12] R.R. Shamshiri et al., Research and development in agricultural
robotics: A perspective of digital farming, International Journal of
Agricultural and Biological Engineering, vol.11, no. 04, pp. 1-14,
July, 2018. [Online]. Available:
https://www.researchgate.net/publication/326929441_Research_and_
development_in_agricultural_robotics_A_perspective_of_digital_far
ming.
[13] S. Thenmozhi., V. Mahima and R. Maheswar, GPS Based
Autonomous Ground Vehicle for Agricultural Utility,” In: Saini H.,
Singh R., Patel V., Santhi K., Ranganayakulu S. (eds) Innovations in
Electronics and Communication Engineering. Lecture Notes in
Networks and Systems, Springer, Singapore, vol. 33, 2019.
[14] S. Swetha and G. H. Shreeharsha, "Solar Operated Automatic Seed
Sowing Machine," International Journal of Advanced Agricultural
Sciences and Technology, vol. 4, no. 1, pp. 67-71, 2015.
[15] J. Zhang et al., “Estimating plant distance in maize using Unmanned
Aerial Vehicle (UAV),” PLOS ONE, 13(4), April, 2018. [Online].
Available: https://doi.org/10.1371/journal.pone.0195223
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously automated processes. This paper reviews some of the latest achievements in agricultural robotics, specifically those that are used for autonomous weed control, field scouting, and harvesting. Object identification, task planning algorithms, digitalization and optimization of sensors are highlighted as some of the facing challenges in the context of digital farming. The concepts of multi-robots, human-robot collaboration, and environment reconstruction from aerial images and ground-based sensors for the creation of virtual farms were highlighted as some of the gateways of digital farming. It was shown that one of the trends and research focuses in agricultural field robotics is towards building a swarm of small scale robots and drones that collaborate together to optimize farming inputs and reveal denied or concealed information. For the case of robotic harvesting, an autonomous framework with several simple axis manipulators can be faster and more efficient than the currently adapted professional expensive manipulators. While robots are becoming the inseparable parts of the modern farms, our conclusion is that it is not realistic to expect an entirely automated farming system in the future. © 2018, Chinese Society of Agricultural Engineering. All rights reserved.
Article
Full-text available
Agriculture is demographically the broadest economic sector and plays a significant role in the overall economy of India. For the growth of Indian economy, mechanization is necessary. The main purpose of mechanization in agriculture is to improve the overall productivity and production. The main purpose of mechanization in agriculture is to improve the overall productivity and production. Planting is conventionally done manually which involves both animate (humans and draught animals), this result in higher cost of cultivation and delay in planting. This article addresses improvement in agriculture processes like automatic planting of seeds on ploughed land by using vehicle. We have developed a vehicle having three wheels and steered by DC motors. The complete assembly can be powered by using 12V Pb-acid rechargable battery. The battery can be charged by using solar panel which is also mounted on robot. Assembly language is used in programming the microcontrollers.
Article
Full-text available
Distance between rows and plants are essential parameters that affect the final grain yield in row crops. This paper presents the results of research intended to develop a novel method to quantify the distance between maize plants at field scale using an Unmanned Aerial Vehicle (UAV). Using this method, we can recognize maize plants as objects and calculate the distance between plants. We initially developed our method by training an algorithm in an indoor facility with plastic corn plants. Then, the method was scaled up and tested in a farmer’s field with maize plant spacing that exhibited natural variation. The results of this study demonstrate that it is possible to precisely quantify the distance between maize plants. We found that accuracy of the measurement of the distance between maize plants depended on the height above ground level at which UAV imagery was taken. This study provides an innovative approach to quantify plant-to-plant variability and, thereby final crop yield estimates.
Article
Full-text available
In agriculture (in the context of this paper, the terms “agriculture” and “farming” refer to only the farming of crops and exclude the farming of animals), smart farming and automated agricultural technology have emerged as promising methodologies for increasing the crop productivity without sacrificing produce quality. The emergence of various robotics technologies has facilitated the application of these techniques in agricultural processes. However, incorporating this technology in farms has proven to be challenging because of the large variations in shape, size, rate and type of growth, type of produce, and environmental requirements for different types of crops. Agricultural processes are chains of systematic, repetitive, and time-dependent tasks. However, some agricultural processes differ based on the type of farming namely such as permanent crop farming and arable farming. Permanent crop farming includes permanent crops or woody plants such as orchards and vineyards whereas arable farming includes temporary crops such as wheat and rice. Major operations in open arable farming include tilling, soil analysis, seeding, transplanting, crop scouting, pest control, weed removal and harvesting and robots can assist in performing all of these tasks. Each specific operation requires axillary devices and sensors with specific functions. This article reviews the latest advances in the application of mobile robots in these agricultural operations for open arable farming and provide an overview of the systems and techniques that are used. This article also discusses various challenges for future improvements in using reliable mobile robots for arable farming.
Conference Paper
Full-text available
Traditional method of seeding by farmers demands laborious work and is now becoming story of the past. Technological revolution in mechatronics and allied areas is reshaping the agricultural processes, making the robots an integral part of this automation. This paper presents design details of an autonomous robot developed keeping in view the constraints imposed by an agricultural field. The novelty of the proposed low-cost indigenously developed modular vehicle lies in design of its seed selector. The simple but efficient mechanism of the single seed selector with extremely low miss rate distinguishes the vehicle from other designs. Hardware details including sensing, actuation, processing and communication modules and software architecture are detailed in the paper. Results of trajectory tracking obtained by implementing the proposed scheme on a mini-robot and functionality of seed selector demonstrate potential of the presented robotic vehicle.
Article
Full-text available
The wheat precision seeding technology provided an advanced agricultural support for the high yield of wheat. But the lack of effective agricultural machine made this technique difficult to apply widely. In this paper a wheel mobile robot to achieve the wheat precision seeding technology was designed. The kinematic model of the robot was built and simulated. And experimental study was taken under different operating conditions. Because of multiple effort factors, a quadratic orthogonal rotation combination design method was applied in the experiments, identifying the main factors by analysis. Then the field test was carried out according to the main factors. The experiment results showed that the qualified rates of seeding exceed 93% in different sowing speed. That reached the agronomic requirements of wheat precision seeding.
Assessmet of fruit Maturity
  • V Bora
  • K Raut
V. Bora, K. Raut, "Assessmet of fruit Maturity," International International Journal of Science Technology & Engineering, vol. 3, no. 01, July. 2016.
Design And Fabrication Of Automatic Seed Sowing Robot For Agriculture Field
  • K Saravanan
K. Saravanan et al.,"Design And Fabrication Of Automatic Seed Sowing Robot For Agriculture Field," International Journal of Pure and Applied Mathematics, vol. 120, 2018.