Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/11753
Title: Image Processing Algorithms for Precision Farming of Sugarcane
Researcher: Patil Sanjay Bapuso
Guide(s): Dr. Bodhe Shrikant K.
Keywords: Image Processing
Precision Farming
Sugarcane
Upload Date: 7-Oct-2013
University: Narsee Monjee Institute of Management Studies
Completed Date: 28/03/2013
Abstract: India is an agriculture based country and world s second largest producer of sugar- newlinecane. Sugarcane is the most remunerative crop and has a very high economic biomass newlineto total biomass ratio in Indian economy. Due to critical conditions of water and labor newlineit is recommended that Precision Farming practice may be applied to this setup. newlinePrecision Farming is generally defined as information and technology based farm newlinemanagement system to identify, analyze and manage variability within fields for opti- newlinemum profitability, sustainability and protection of land resources.The sugarcane is propagated by stem cuttings, containing one or more buds and grows in different soil and climatic conditions. There are many varieties of the sugar-cane available in India but selection of variety for planting based on planting seasons. newlineGood quality seeds are selected for planting for higher yield. In different types of plant newlineing methods, Spaced Trans-Planting with single eye bud, is most widely used planting newlinemethod for sugarcane. Generally, the growth stages of sugarcane are Germination, newlineTill-ring, Grand Growth Phase and Maturity. newlineTo increase the average sugarcane yield per hectare with minimum cost it is necessary to adapt advanced technologies. Thus advancement in sugarcane agriculture newlinestarts from the quality seed selection and crop status management that includes moni- newlinetoring of growth for efficient fertigtion, measurement of chlorophyll to identify nutrient deficiencies and measurement of diseases for proper use of pesticides. newlineRecent advances in Precision Farming using image processing tool have resulted in newlinesignificant improvement in the areas of agriculture by increasing crop production, with good quality and low operating cost. Digital Image Processing deals with manipula- newlinetion and analysis of images by using computer algorithm, so as to improve pictorial information for better understanding and analysis.Now a day s sugarcane planting machines are used to reduce the human force and time.
Pagination: 
URI: http://hdl.handle.net/10603/11753
Appears in Departments:Department of Electronic & Telecommunication Engineering

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01_title page.pdfAttached File51.55 kBAdobe PDFView/Open
02_abstract.pdf31.68 kBAdobe PDFView/Open
03_contents and tables.pdf58.35 kBAdobe PDFView/Open
04_chapter 1.pdf93.49 kBAdobe PDFView/Open
05_chapter 2.pdf269.97 kBAdobe PDFView/Open
06_chapter 3.pdf364.66 kBAdobe PDFView/Open
07_chapter 4.pdf219.84 kBAdobe PDFView/Open
08_chapter 5.pdf1.26 MBAdobe PDFView/Open
09_chapter 6.pdf67.39 kBAdobe PDFView/Open
10_refrences.pdf66.21 kBAdobe PDFView/Open
11_appendix.pdf4.84 MBAdobe PDFView/Open


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