Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/516308
Title: Modelling Growth Parameters of Tomato Crop Using DSSAT Under Naturally Ventilated Sensor Monitored Polyhouse
Researcher: Pardhe Dagadu Dashrath
Guide(s): Bhakar, S.R.
Keywords: Agricultural Engineering
Agricultural Sciences
Life Sciences
University: Maharana Pratap University of Agriculture and Technology
Completed Date: 2023
Abstract: The increasing population puts pressure on land and food. The increased newlinedemand cannot be met through the traditional method of agricultural production. It newlinenecessitates improved and new alternative technologies to enhance production under newlinenormal as well as adverse climatic conditions and to bridge the gap between demand newlineas well as existing production of vegetables, fruits and flowers. Controlled newlineenvironment agriculture (CEA) is highly productive, conservative of water, fertilizers newlineand land, also protective of the environment like the temperature, humidity, light newline(Jensen, 2002). By adopting protected cultivation technology, the growers can look newlineforward to a better and additional remuneration for high quality produce. newlineThe experiment was conducted at Plasticulture Farm, College of Technology newlineand Engineering, MPUAT, Udaipur, Rajasthan during 2018-19 and 2019-20 to newlinemonitor and control the polyhouse environment favourable to get maximum newlineproductivity of tomato crop and to observe the effect of different transplanting dates newlineon growth and yield of tomato crop. Six different dates of transplanting viz. 25th May, newline25th June, 25th July, 25th August, 25th September and 25th October were considered. newlineThe experiment was laid out in Randomized Block Design with four replications. newlineThe Arduion mega 2560 microcontroller board was used for the system. The newlineresults obtained from the measurement have shown that the system performance is newlinequite reliable and accurate. The observed values of weekly mean maximum newlinetemperature and minimum temperature, showed good agreement with the values newlinerecorded by the sensor network deployed in the NVPH during year 2018-19 and newline2019-20. Contd..... newline
Pagination: 189
URI: http://hdl.handle.net/10603/516308
Appears in Departments:Soil and Water Engineering

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01_title page.pdfAttached File165.4 kBAdobe PDFView/Open
02_prelim pages.pdf332.74 kBAdobe PDFView/Open
03_content.pdf51.67 kBAdobe PDFView/Open
04_abstract.pdf200.61 kBAdobe PDFView/Open
05_chapter-1.pdf209.64 kBAdobe PDFView/Open
06_chapter-2.pdf504.85 kBAdobe PDFView/Open
07_chapter-3.pdf1.19 MBAdobe PDFView/Open
08_chapter-4.pdf873.93 kBAdobe PDFView/Open
09_annexures.pdf533.05 kBAdobe PDFView/Open
80_recommendation.pdf172.23 kBAdobe PDFView/Open
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