International Journal of Innovative Research in Engineering and Management
Year: 2016, Volume: 3, Issue: 4
First page : ( 349) Last page : ( 352)
Online ISSN : 2350-0557.
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Aradhana Rai , Sudhir Kumar Sharma , V. D. Shivling
Pest attack and plant diseases are the major cause of the economic losses faced by farmers. Pest management is the fruitful method to control pests. Due to lack of knowledge in farmers, the excessive use of the harmful chemicals in their crop makes the soil infertile degrading the quality of soil as well as causing a great threat to the agro ecosystem. The prime objective of this paper work is an early forecasting of disease. Potato is one of the world’s most produced and consumed crop. Thus, an early warning system is developed to forecast a disease in potato, named Late Blight, which is caused by the fungus Phytophthora Infestans. For the forecast, necessary environmental parameter which affects the growth of fungus was studied and those parameters are temperature, humidity and carbon dioxide concentration. Sensors were interfaced with the Arduino comprising of AT mega 328 microcontroller and the severity index has been calculated with the help of the standard equation of Beta Regression Model.
[1] Safety and health in agriculture. International Labour conference. Vol. 88th session: International Labour Office, Geneva.
[2] Sharma, P. and M. Saikia, Management of late blight of potato through chemicals. IOSR Journal of Agriculture and Veterinary Science, 2013. 2(2): p. 23-26.
[3] Nowicki, M., et al., Potato and tomato late blight caused by Phytophthora infestans: an overview of pathology and resistance breeding. Plant Disease, 2012. 96(1): p. 4-17.
[4] SRIVASTAVA, A., et al., Evaluation of exotic potato genotypes for resistance to late blight. Indian Phytopathology, 2015. 68(1): p. 78-82.
[5] The Microbial World: Potato blight - Phytophthora infestans.
[6] Arora, R., S. Sharma, and B. Singh, Late blight disease of potato and its management. Potato Journal, 2014. 41(1).
[7] Peng, G. and Q. Luo. Development of the long-term forecast system based on the neural network of the potato late blight in Liangshan Prefecture. in 2010 Sixth International Conference on Natural Computation. 2010: IEEE.
[8] Gupta, V., et al., Performance of Late Blight Resistant Advanced Potato Hybrids in North-Eastern Hill Region. VegetosAn International Journal of Plant Research, 2011. 24(1): p. 168- 171.
[9] Biswas, S., et al. Severity identification of Potato Late Blight disease from crop images captured under uncontrolled environment. in Humanitarian Technology Conference-(IHTC), 2014 IEEE Canada International. 2014: IEEE.
[10] Chrispeels, M. and D. Sadava, Farming systems: development, productivity, and sustainability. Plants, Genes, and Agriculture, 1994: p. 25-57.
[11] Schroeder, L.D., D.L. Sjoquist, and P.E. Stephan, Understanding regression analysis: An introductory guide. Vol. 57. 1986: Sage.
[12] Vittinghoff, E., et al., Regression methods in biostatistics: linear, logistic, survival, and repeated measures models. 2011: Springer Science & Business Media.
[13] Sharma, K., Influence of meteorological factors on potato late blight development in North-western plains of India. Journal of the Indian Potato Association, 2000. 27(1/2): p. 1-3.
[14] Pawaneh, K., Potato Storage and Value Preservation: The Basics. 2009.
Electronics and Communication, Jaipur National University, Jaipur, Rajasthan, India,
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