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Kerala Agricultural University, Thrissur

The history of agricultural education in Kerala can be traced back to the year 1896 when a scheme was evolved in the erstwhile Travancore State to train a few young men in scientific agriculture at the Demonstration Farm, Karamana, Thiruvananthapuram, presently, the Cropping Systems Research Centre under Kerala Agricultural University. Agriculture was introduced as an optional subject in the middle school classes in the State in 1922 when an Agricultural Middle School was started at Aluva, Ernakulam District. The popularity and usefulness of this school led to the starting of similar institutions at Kottarakkara and Konni in 1928 and 1931 respectively. Agriculture was later introduced as an optional subject for Intermediate Course in 1953. In 1955, the erstwhile Government of Travancore-Cochin started the Agricultural College and Research Institute at Vellayani, Thiruvananthapuram and the College of Veterinary and Animal Sciences at Mannuthy, Thrissur for imparting higher education in agricultural and veterinary sciences, respectively. These institutions were brought under the direct administrative control of the Department of Agriculture and the Department of Animal Husbandry, respectively. With the formation of Kerala State in 1956, these two colleges were affiliated to the University of Kerala. The post-graduate programmes leading to M.Sc. (Ag), M.V.Sc. and Ph.D. degrees were started in 1961, 1962 and 1965 respectively. On the recommendation of the Second National Education Commission (1964-66) headed by Dr. D.S. Kothari, the then Chairman of the University Grants Commission, one Agricultural University in each State was established. The State Agricultural Universities (SAUs) were established in India as an integral part of the National Agricultural Research System to give the much needed impetus to Agriculture Education and Research in the Country. As a result the Kerala Agricultural University (KAU) was established on 24th February 1971 by virtue of the Act 33 of 1971 and started functioning on 1st February 1972. The Kerala Agricultural University is the 15th in the series of the SAUs. In accordance with the provisions of KAU Act of 1971, the Agricultural College and Research Institute at Vellayani, and the College of Veterinary and Animal Sciences, Mannuthy, were brought under the Kerala Agricultural University. In addition, twenty one agricultural and animal husbandry research stations were also transferred to the KAU for taking up research and extension programmes on various crops, animals, birds, etc. During 2011, Kerala Agricultural University was trifurcated into Kerala Veterinary and Animal Sciences University (KVASU), Kerala University of Fisheries and Ocean Studies (KUFOS) and Kerala Agricultural University (KAU). Now the University has seven colleges (four Agriculture, one Agricultural Engineering, one Forestry, one Co-operation Banking & Management), six RARSs, seven KVKs, 15 Research Stations and 16 Research and Extension Units under the faculties of Agriculture, Agricultural Engineering and Forestry. In addition, one Academy on Climate Change Adaptation and one Institute of Agricultural Technology offering M.Sc. (Integrated) Climate Change Adaptation and Diploma in Agricultural Sciences respectively are also functioning in Kerala Agricultural University.

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20195
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Subject: Agricultural Engineering × End date: 2019 × Start date: 2019 × Type: Thesis × Thesis Type: M.Tech. ×
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Now showing 1 - 5 of 5
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    ThesisItemOpen Access
    Development of automated drip fertigation system using GSM based controller
    (Kelappaji college of Agricultural Engineering and Technology, Tavanur, 2019) Akhila Shiney, P; KAU; Sajeena, S
    Lack of sufficient water to grow enough crops for meeting the food demand of the increasing population is the major threat to Indian agriculture. The surface irrigation techniques cause seepage losses, erosion and water logging problems, deep percolation, salinization and runoff. To get satisfactory growth, application of right quantity of water at right time and at right place is very important and this can be accomplished only through micro irrigation techniques. Through automated drip fertigation, we can easily attain the agriculture intensification. The present study was focused on the development of GSM based automated drip fertigation system. In this study, calibration of capacitance type soil moisture sensors were carried out in laboratory for different soil types viz. laterite soil, black soil and costal alluvium soil. Field study was carried out with an Ujwala (KAU) variety of chilli crop under three treatments such as 100 percent irrigation and 100 percent fertigation with automation (T1), 100 percent irrigation and 100 percent fertigation without automation (T2) and 100 percent irrigation and 70 percent fertigation with automation (T3). The automated drip fertigation system consists of four capacitor type sensors, electronic fertilizer injection pump and fertilizer mixing device. Total yield and crop growth parameters showed better performance under 100 percent irrigation and 100 percent fertigation with automation (T1). Combination of 100 percent irrigation and 70 percent fertigation with automation (T3) also gave the good result which was on par with T1. Therefore, it could be concluded that with 30 percent less fertilizer, better performance of crop was obtained with automated drip fertigation system. It could also be shown that the right quantity of water at right time at right place is giving better performance of crop. The developed automated drip fertigation system is cost effective, portable, can perform better in field.
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    ThesisItemOpen Access
    Development and evaluation of an automated pulse irrigation system
    (Department of Irrigation and Drainage Engineering, Kelappaji College of Agricultural Engineering and Technology, Tavanur, 2019) Prasang H Rank; KAU; Vishnu, B
    Irrigation sector consumes more than 80% of the fresh water resources in India. The irrigation efficiencies of the major irrigation systems in India are around 40%, increasing of which could save large amounts of water. The irrigation efficiencies could be increased through the adoption of cost-effective and efficient irrigation technologies, which will reduce water demands, increase agricultural production, minimize soil and water pollution and reduce the cost of agricultural production. Drip/Trickle irrigation is a highly efficient irrigation method which could save tremendous amounts of water when adopted in the place of the wild flooding irrigation. Pulse drip irrigation technology enables lower application rates - that will permit sufficient aeration in the root zone and alleviate plant stress due to inadequate root respiration– from an emitter with a higher application rate by intermittent water applications. This study attempted to develop and evaluate a sensor based automated pulse drip irrigation system which is affordable to the lowincome farmers of the nation. The soil properties of the experimental field were used to estimate the parameters of several soil water characteristics curve (SWCC) models. Among the models; van Genuchten (1980) model of SWCC, was found to be the best in representing the soil moisture retention characteristics of the soil used in the study. An open-source electronics platform, the Arduino was used for the development of the automation system using moisture content sensors and solenoid irrigation valves controlled through relays, by writing program coding in the Arduino programming language. The sensors were calibrated to read the moisture content, which was compared to the management allowed deficit (MAD) and field capacity (FC) soil moisture content values to control the start and stop of irrigation water application. Pulse irrigation design methodology was used to derive the ON and OFF time periods for the pulse cycle. The system was programmed to start the water application as per the designed pulse cycle at a moisture content defined by the MAD moisture content and to stop the water application at the field capacity (FC) moisture content sensed by the moisture sensor. The wetting front movements and the soil moisture contents in the root zone were measured at different time 182 intervals of 1 hour, 2 hours and 3 hours after the start of water application using both continuous irrigation and pulse drip irrigation under 2 LPH, 4 LPH and 8 LPH online drip emitters. The soil aeration was also determined for these treatments and was found to be better during the pulse irrigation as compared to the continuous drip irrigation. The pulse irrigation application was also found to be decreasing the deep percolation loss of water. The developed automated pulse drip irrigation system is found to provide the required aeration in the root zone with reduction in deep percolation loss of water.
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    ThesisItemOpen Access
    Runoff estimation of KCAET campus by curve number methods adopting remote sensing and GIS techniques
    (Department of Soil and Water Conservation Engineering , college of Agricultural Engineering and Technology, Tavanur, 2019) Anjana, S R; KAU; Jinu, A
    This study mainly focused to estimate the runoff of KCAET Campus using the curve number method. The study was carried out in GIS enviromuent using remote sensing data. Also the curve number method was validated for selected storm events in the study area. The analysis was done for tlie year 2004 to 2007, 2018 and 2019 upto June. The land use map was digitized from Google eartli of year 2006 and 2018. ArcGIS 10.2 was used for the analysis. About 28.5% of the total area belongs to high runoff potential class, 33.7% have medium mnoff potential and 37.7% of the area has low runoff potential. The runoff percentage from the annual rainfall varied from 16% to 23% for tlie study period. The runoff percentage in 2007 and 2018 were almost similar but the rainfall depths of both years were 3971.8 mm and 2919.8 mm respectively. The rainfall amount in the study area is showing a decreasing trend and runoff is showing increasing trend. Seasonal analysis showed that maximum rainfall deptli was observed in south west monsoon and thereby runoff yield. The runoff percentage was lower in the pre monsoon season as the major part of the rainfall will infiltrates into the soil. Also the runoff depth was highly influenced by antecedent moisture condition and potential maximum retention capacity. The curve number values for noimal conditions were 57.77 and 58.95 for the year 2006 and 2018 respectively. The cuiwe number value tends to increase as antecedent moisture condition increases. The simulated runoff was compared with observed runoff for selected storm events in the study area. The correlation coefficient was found to be 0.928. The integration of remote sensing and GIS along with NRCS curve number method was found to be a powerful tool in estimating runoff.
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    ThesisItemOpen Access
    Estimation of soil moisture indices using diffuse reflectance spectroscopy
    (Kelappaji college of Agricultural Engineering and Technology, Tavanur, 2019) Sarathjith, M C; KAU; Anu Varughese
    Rapid and reliable estimation of soil moisture constants namely, field capacity (FC) and wilting point (WP) is significant for scientific irrigation scheduling. The conventional methods for their estimation are cumbersome, time consuming and not suitable for their estimation at different space and time domains. An alternative would be the use of diffuse reflectance spectroscopy (DRS) for which the development of calibration functions that link the soil attributes with spectral signature is a major pre-requisite. In this study, the utility of spectral index, feature projection of full-spectrum and variable selection approaches namely, normalized difference reflectance index (NDRI), partial least squares regression (PLSR) and ordered predictor, selection (OPS), respectively to build accurate and less complex calibration functions was evaluated. The performance of calibration functions were judged in terms residual prediction deviation (RPD) criteria. The NDRI based calibration functions developed in this study do not comply witli the minimum accuracy level (RPD<1.4) expected from DRS analysis. In contrast, both full-spectrum based PLSR and OPS approaches yielded calibration functions which were capable for accurate (RPD>2.0) and moderate (1.42.0) estimation of FC and WP, respectively. Specifically, the full-spectrum based calibration function developed using second derivative of reflectance was found to be the best for both FC (RPD=2.01) and WP (RPD=1.74). The OPS approach in conjunction with variable indicators namely, combination of regression & correlation coefficient (/?- r) and combination of adjacency values of mutual information & signal-to-noise vector (AMl-StN) yielded best calibration functions in case of FC and WP, respectively. The calibration functions so developed consisted of only 19.09% (FC) and 34.39% (WP) of total number of spectral vaiiables as that in full-spectrum. Thus, the result of the study advocate the use of OPS approach to develop simple and parsimonious calibration functions to estimate FC and WP from spectral signature of soil.
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    ThesisItemOpen Access
    Studies on pulsed electric field assisted extraction of anthocyanin from jamun
    (Department of Processing and Food Engineering, Tavanur, 2019) Akhila, J Chand; KAU; Prince, M V
    Colour is considered as one of the major quality parameter of food. Anthocyanins are water soluble pigments after chlorophylls and impart red to blue colours to various fruits, vegetables and storage organs. Jamun is one of the under processed minor fruit found commonly in different parts of Indian continent. It is a rich source of anthocyanin. Conventional methods of extraction of anthocyanin is less productive and the extracted product is inferior in quality. In this study pulsed electric field assisted extraction was carried out with an objective of increasing the yield and quality parameter. A pulsed electric field system was developed to carry out pretreatment prior to extraction. The developed system consists of an outer protective chamber, inlet unit, pulse generating system, treatment chamber, display unit and cooling system. Pulse generating system consists of a Line Output Transformer, micro controller and filter unit. The treatment chamber consists of electrodes and isolated feedback circuit. In order to evaluate the developed system towards extraction of anthocyanin from Jamun, the process variables such as electric field strengths of 5, 10, 15kV/cm, pulse frequencies of 60, 80 and 100 pulses/s and treatment time of 2, 3 and 4 minutes were selected and the results were compared with conventional extraction. The results were then analysed statistically for optimization of the process parameters. The optimized conditions of electric field strength, pulse frequency and treatment time were found to be 9.47 kV/cm, 60 pulses/s and 2.24 minutes. The quality parameters of PEF assisted extracted anthocyanin such as anthocyanin yield, antioxidant activity, colour values and refractive index were 11.9mg/100 of sample, 97.2%, L value of 2.1, a* value of 2.36, b* value of -2.23 and 1.38 respectively whereas, the same for conventional extraction process were 10mg/100g of sample, 82.3%, L value of 3.1, a* value of 1.23, b* value of -1.35 and 1.37. It was concluded from the study that PEF assisted extraction resulted in higher anthocyanin yield and increased quality characteristics compared to conventional extraction process.