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Research Article
Precision Agriculture Using Hanging Robot
Dhivyadharshini S1
Shalini S2
Radhakrishnan C3
12Department of Mechatronics Engineering ,Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India. 3Assistant Professor (SS) Department of Mechatronics Engineering, Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India.
Published Online: May-June 2023
Pages: 279-283
Cite this article
↗ https://www.doi.org/10.59256/ijire.2023040389
References
1. Abhiram MSD, Jyothsnavi Kuppili, N.Alivelu Manga, “Smart Farming System using IoT for Efficient Crop Growth” , 2020 IEEE
International Students' Conference on Electrical, Electronics and Computer Science.
2. Md Ashifuddin Mondal, Zeenat Rehena, “IoT Based Intelligent Agriculture Field Monitoring System”, 2018 IEEE
3. Manishkumar Dholu,K. A. Ghodinde, “Internet of Things (IoT) for Precision Agriculture Application”, Proceedings of the 2nd
International Conference on Trends in Electronics and Informatics (ICOEI 2018).
4. Ram Krishna Jha,Santosh Kumar,Kireet Joshi, Rajneesh Pandey, “Field Monitoring Using IoT in Agriculture”, 2017 International
Conference on Intelligent Computing,Instrumentation and Control Technologies (ICICICT).
5. RUI LIU, YAHONG ZHANG, YONGQI GE, WEI HU BAIPING SHA, “Precision Regulation Model of Water and Fertilizer for Alfalfa
Based on Agriculture Cyber-Physical System”,IEEE March 3, 2020.
6. M. Kettles, S. R. Browning, T. S. Prince, and S. W. Horstman, “Triazine herbicide exposure and breast cancer incidence: An ecologic
study of Kentucky counties,” Environ. Health Perspect., vol. 105, no. 11, p. 1222, 1997.
7. J. M. Gorell, C. C. Johnson, B. A. Rybicki, E. L. Peterson, and R. J. Richardson, “The risk of Parkinson’s disease with exposure to
pesticides, farming, well water, and rural living,” Neurology, vol. 50, no. 5, pp. 1346–1350, May 1998.
8. R. B. Brown and S. D. Noble, “Site-specific weed management: Sensing requirements—What do we need to see?” Weed Sci., vol. 53,
no. 2, pp. 252–258, Mar./Apr. 2005
9. J. Sinden et al., The Economic Impact of Weeds in Australia, Boca Raton, FL, USA: CRC Press, 2004.
10. S. Askraba, A. Paap, K. Alameh, J. Rowe, and C. Miller, “Optimization of an optoelectronicsbased plant real-time discrimination
sensor for precision agriculture,” J. Lightw. Technol., vol. 31, no. 5, pp. 822–829, Mar. 1, 2013.
International Students' Conference on Electrical, Electronics and Computer Science.
2. Md Ashifuddin Mondal, Zeenat Rehena, “IoT Based Intelligent Agriculture Field Monitoring System”, 2018 IEEE
3. Manishkumar Dholu,K. A. Ghodinde, “Internet of Things (IoT) for Precision Agriculture Application”, Proceedings of the 2nd
International Conference on Trends in Electronics and Informatics (ICOEI 2018).
4. Ram Krishna Jha,Santosh Kumar,Kireet Joshi, Rajneesh Pandey, “Field Monitoring Using IoT in Agriculture”, 2017 International
Conference on Intelligent Computing,Instrumentation and Control Technologies (ICICICT).
5. RUI LIU, YAHONG ZHANG, YONGQI GE, WEI HU BAIPING SHA, “Precision Regulation Model of Water and Fertilizer for Alfalfa
Based on Agriculture Cyber-Physical System”,IEEE March 3, 2020.
6. M. Kettles, S. R. Browning, T. S. Prince, and S. W. Horstman, “Triazine herbicide exposure and breast cancer incidence: An ecologic
study of Kentucky counties,” Environ. Health Perspect., vol. 105, no. 11, p. 1222, 1997.
7. J. M. Gorell, C. C. Johnson, B. A. Rybicki, E. L. Peterson, and R. J. Richardson, “The risk of Parkinson’s disease with exposure to
pesticides, farming, well water, and rural living,” Neurology, vol. 50, no. 5, pp. 1346–1350, May 1998.
8. R. B. Brown and S. D. Noble, “Site-specific weed management: Sensing requirements—What do we need to see?” Weed Sci., vol. 53,
no. 2, pp. 252–258, Mar./Apr. 2005
9. J. Sinden et al., The Economic Impact of Weeds in Australia, Boca Raton, FL, USA: CRC Press, 2004.
10. S. Askraba, A. Paap, K. Alameh, J. Rowe, and C. Miller, “Optimization of an optoelectronicsbased plant real-time discrimination
sensor for precision agriculture,” J. Lightw. Technol., vol. 31, no. 5, pp. 822–829, Mar. 1, 2013.
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