Original Article

GPS and Sensor Based Technologies in Variable Rate Fertilizer Application

Year: 2021 | Month: March | Volume 14 | Issue 1

References (26)

1.Alameen, A.A., Al-Gaadi, K.A. and Tola, E. 2019. Development and performance evaluation of a control system for variable rate granular fertilizer application. Comput. Electron. Agric., 160: 31-39.

View at Google Scholar

2.Alameen, A.A., Al-Gaadi, K.A. and Tola, E. 2019. Development and performance evaluation of a control system for variable rate granular fertilizer application. Comput. Electron. Agric., 160: 31-39.

View at Google Scholar

3.Barreiro, P. and Ruiz-Altisent, M. 2002. Innovative Biomechatronics aspects of mechanization, pp. 51-53.

View at Google Scholar

4.Benji, S. 2015. Innovative Agricultural Mechatronics [Online]. Available: http://courseofthefuture.com.au/contest/1/ entry/255

View at Google Scholar

5.Braunack, M.V. 1986. The residual effects of tracked vehicles on soil surface properties. J. Terramechanics, 23(1): 37-50.

View at Google Scholar

6.Chandel, N.S., Mehta, C.R., Tewari, V.K. and Nare, B. 2016. Digital map-based site-specific granular fertilizer application system. Curr. Sci., 111(7): 1208-1213.

View at Google Scholar

7.Chattha, H.S., Zaman, Q.U., Chang, Y.K., Read, S., Schumann, A.W., Brewster, G.R. and Farooqu, A.A. 2014. Variable rate spreader for real-time spot-application of granular fertilizer in wild blueberry. Comput. Electron Agric., 100: 70–78.

View at Google Scholar

8.Erdélyi and Jánosi. 2017. Mechatronics in Agriculture, Scientific Bulletin, Serie C, Fascicle: Mechanics, Tribology, Mach. Manuf. Technol., ISSN 1224-3264.

View at Google Scholar

9.Forouzanmehr, E. and Loghavi, M. 2012. Design, development and field evaluation of a map-based variable rate granular fertilizer application control system. Int. J. Aric. Eng., 14(4): 255– 261.

View at Google Scholar

10.Hamid, A., Ahmad, D. and Rukunuddin, I.H. 2010. Performance of sweet potato transplanting machine on mineral and bris soils. Agric. Mechanization in Asia, Afr. and Latin Am., 41(1):55-59.

View at Google Scholar

11.Ishak and Hudzari, R.M. 2010. Image Based modeling for oil palm fruit maturity prediction. Jr. Food, Agric. Env., 8(2): 469-476.

View at Google Scholar

12.Jaime Cuauhtemoc Negrete. 2015. Mechatronics in Mexican Agriculture Current Status and Perspectives. Int. J. Agric. & Environ. Sci., 2(3).

View at Google Scholar

13.Kim, Y.J., Kim, H.J., Rye, K.H. and Rhee, J.Y. 2008. Fertilizer application performance of a variable-rate pneumatic granular applicator for rice production. Biosyst. Eng., 100: 498– 510.

View at Google Scholar

14.Mohd Ekhwan Hj Toriman, Mazlin B. Mokhtar, Muhammad Barzani Gazim, Norazlina Abd Aziz. 2009. Analysis of the Physical Characteristics of BRIS soil. Res. J. Earth Sci., pp. 1-2.

View at Google Scholar

15.Mouazen, A.M., Karoui, R., Decksers, J., De Baerdemaeker, J. and Ramon, H. 2007. Potential of visible and near-infrared spectroscopy to derive colour groups utilising the Munsell soil colour charts. Biosyst. Eng., 97(2): 131–143.

View at Google Scholar

16.Prem Veer Gautam, H.L. Kushwaha, Adarsh Kumar and Kushwaha, D.K. 2019. Mechatronics Application in Precision Sowing. Int. J. Curr. Microbiol. App. Sci., 8(4): 1793-1807.

View at Google Scholar

17.Razali M.H., Wan Ismail W.I., Ramli A.R. and Sulaiman M.N. 2008. Modeling of Oil Palm Fruit Maturity for the Development of an Outdoor Vision System. Int. J. Food Eng., 4(3): 1396-1396.

View at Google Scholar

18.Razali, M.H.H., Noor, N.A.M., Othman, N.I. and Hamdan, H.I. 2012. Mechatronic application for agriculture mechanization analysis and education. Software Eng., 2(4): 106-111.

View at Google Scholar

19.Rooney, D., Stelford, M. and Landolt, D. Undated. SiteSpecific Soil Compaction Mapping Using a Digital Soil Penetrometer. Site-Specific Management Guidelines (SSMG) Potash and Phosphate Institute (http://www. ppi-far.org/ssmg).

View at Google Scholar

20.Rui Zhang, Xiu Wang, Jianhua Guo, Liping Chen, Jianjun Zhou and Wei Ma. 2014. Development of Variable Rate Fertilizer System Based on Optical Sensor. Sens. Transducers, 26: 1-6.

View at Google Scholar

21.Sebastian, S. 2014. Laboratory tests of force sensor applied in agricultural mechatronic equipment. Teka. Commission of Motorization and Energetic Agric., 14(3): 111-114.

View at Google Scholar

22.Shankha Koley, Y.C. Bhatt, Gajendra Singh, Sunil Joshi and Jain, H.K. 2017. Development of Electronic Metering Mechanism for Precision Planting of Seeds Int. J. Curr. Microbiol. App. Sci., 6(8): 3481-3487.

View at Google Scholar

23.Sinder, K.O. and Tekin, A.B. 2002. Economics of variable rate fertilizer application. International Scientific Conference, Rousse, Bulgaria.

View at Google Scholar

24.Su Ning, Xu Taosheng, Song Liangtu, Wang Rujing and Wei Yuanyuan. 2015. Variable rate fertilization system with adjustable active feed-roll length. Int. J. Agric. Bio Eng., 8(4): 19-26.

View at Google Scholar

25.Tola, E., Kataoka, T., Burce, M., Okamoto, H. and Hata, S. 2008. Granular fertilizer application rate control system with integrated output volume measurement. Biosyst. Eng., 101(4): 411-416.

View at Google Scholar

26.Yang, L., Xiantao, H., Tao, C., Dongxing, Z., Song, S., Rui, Z. and Mantao, W. 2012. Development of the mechatronic driving system for seed meters equipped on conventional precision corn planter, Int. J. Agric. Biol. Engg., 8(4): 1-9.

View at Google Scholar

Economic Affairs, Quarterly Journal of Economics| In Association with AESSRA

26915221 - Visitors since February 20, 2019