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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Open Access
Performance and ergonomic evaluation of direct pady seeder and mechanical rice transplanter in wet lands
(Department of Farm Power Machinery and Energy, Kelappaji College of Agricultural Engineering and Technology, Tavanur, 2013) Rathod Sachin, Ravsu; KAU; Sureshkumar, P K
An experiment was conducted to evaluate the performance of the ‘Aiswarya’ 8 row direct seeder and ‘Mahindra PF455S’ 4 row walk behind mechanical transplanter with ‘Jyothi’ rice variety in wet lands from the ergonomic point of view. It conducted with selected male and female subjects in the age group of 25–35 years. The performance of these machines was compared with manual transplanting. The results show that the seed rate for direct seeder was very low with 37 kg ha-1 as compared to the mechanical transplanter (55 kg ha-1) and manual transplanting (72 kg ha-1). EFC found for direct seeder and mechanical transplanter was 0.11 ha h-1and 0.12 ha h-1 respectively. The field efficiency was found to be 69% for direct seeder and 74% for mechanical transplanter. Fuel consumption of the mechanical transplanter was found 3.7 l ha-1. The grain yield and straw yield in mechanical transplanting method was higher 2652 kg ha-1 and 3482 kg ha-1 as compared to 2265 kg ha-1 and 2885 kg ha-1 in the case of direct seeding. But in the case of manual transplanting, the yields were 2025 kg ha-1 and 2508 kg ha-1 respectively. The mean value of WHR and OCR with direct seeder was 145.5 beats min-1 and 0.95 l min-1 for male and 148.9 beats min-1 and 0.98 l min-1 for female. But in case of mechanical transplanter, the mean value of WHR and OCR was 131.6 beats min-1 and 0.80 l min-1 for male and 134.1 beats min-1 and 0.83 l min-1 for female. There was complete recovery of HR after 8 min with direct seeder and 6 min with mechanical transplanter. In case of direct seeder ODR, OSR, OER, BPDS values were given by male 6.5, 0, 6.0, 40.8 and by female 7.5, 0, 7.5, 45.6. The corresponding values for mechanical transplanter were 3.0, 1.5, 3.5, 36 by male and 3.5, 1.5, 5.0, 36. As per the grading of energy cost of work, direct seeder categorized as “very heavy type” and mechanical transplanter as “heavy type”. The 8 row direct seeder is not suitable for female subjects. A 4 row Mahindra walk behind mechanical transplanter could be used successfully not only to improve the yield but also to provide operator comfort as compared to the 8 row direct seeder.
Open Access
Development and evaluation of modified atmosphere packed passion fruit(Passiflora edulis)
(Department of Post harvest technology and agricultural processingKelappaji College of Agricultural Engineering and Technology, Tavanur, 2012) Madhana Supriya, R; KAU; Sudheer, K P
Passion fruit is a tropical fruit which is extensively used in juice processing. The fruit is highly perishable and losses its quality immediately after the second day of harvest. The postharvest loss in quality and commercial value is due to the intense respiratory activity and significant moisture loss. Hence a study was undertaken to develop a wax applicator to extend the shelf life of passion fruit by adopting the postharvest technologies. A simple and efficient wax applicator with a capacity of 250 kg.hr-1 was developed based on the physical properties of the fruits. Various samples of the passion fruits were treated with bee wax and commercial wax packed in LDPE bags of 200 and 400 gauge. The effect on the shelf life extension of fruits was investigated individually and in combination of wax and LDPE bags. In the case of LDPE bags, different levels of perforations such as 0%, 0.5%, 1% and 2% were used. The samples were kept in ambient condition viz., 32 - 35°C and 70 - 80% RH and at cold conditions as 7ºC and 90% RH. The physicochemical characteristics of samples were tested periodically at an interval of 5 and 7 days, under ambient and cold storage conditions, respectively. The results obtained were subjected to statistical analysis. From the results it was revealed that the samples kept in non-perforated polythene covers were found to be better than those kept in perforated bags and in normal atmosphere. A maximum shelf life of 40 days was obtained for passion fruits at 7oC coated with commercial wax emulsion. Thus, commercial wax coating in combination with LDPE bags acted as a barrier against moisture loss and respiration rate of fruits. However, the fruits kept as control had lost consumer acceptability after the tenth day of study at cold condition and within two days at ambient storage conditions.
Open Access
Water balance study of Karuvannur river basin
(Department of Irrigation and Drainage Engineering, Kelappaji College of Agricultural Engineering and Technology, Tavanur, 1988) Santosh, G Thampi; KAU; John Thomas, K
This study was undertaken to quantitavely assess the water resources of the Karuvannur River Basin and to study the monthly water balance in order to estimate the balance for ground waterrecharge or depletion during the period 1976 to 1985. The mean monthly rainfall over the basin during the period 1976-1985 was determined by Thiessen polygon method . Data regarding the amount of water released for irrigation from the Peechi reservoir was also collected. Due to lack of data, contribution from other sources was not taken into account. The total runoff from the basin during each month of this period was determined . The various crop combinations in the basin were identified and the area under each of these was estimated . The actual evapotranspiration during each month was estimated using the method outlined by Doorenbos and Kassam. The basin was regarded as an independent hydrologic unit . Hence surface and subsurface inflow and outflow were assumed to be negligible.
Open Access
Development of a low cost garden tractor
(Department of Agricultural Engineering, College of Horticulture, Vellanikkara, 1982) Sivaswami, M; KAU; Muhammad, C P
The study was conducted with the objectives of systematic analysis of components with respect to their kinematics, dynamics and ergonomics and evaluation of traction performance and economics of low cost garden tractor. A greaves Lombardini 5.4 hp diesel engine with 1800 rpm was selected and a simple three step speed reduction system having a single stage V belt drive and double stage chain drives with a pivotted countershaft clutch have been designed. A road speed of 6.635 kmph and field speed of 3.317 kpmh were achieved by using a cone pulley arrangement with 6.00 x 12 size wheel.Correct position of various components bringe the centre of gravity of the unit with and without implement at very close to the final drive axle for easy balancing
Open Access
Development of small scale equipment for extraction of cocoa butter and production of cocoa powder
(Department of Agricultural Engineering, College of Horticulture, Vellanikkara, 1982) Ganeshan, V; KAU; George, T P
The primary objective of this project was to evolve a viable technology and equipment system for small scale processing of cocoa beans. The study mainly concentrated on the development of an extraction unit for the separation of butter from cocoa mass. Various equipment required for small scale processing of cocoa beans were either identified or designed.
Open 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.
Open 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.
Open Access
Swat model evaluation using generated data and assessing the impact of land use changes
(Department of Irrigation and Drainage Engineering, Kelappaji College of Agricultural Engineering and Technology, Tavanur, 2018) Nethi Naga, Hari Sairam; KAU; Anu Varughese
Land and water are the primary natural resources which are useful for all the living beings on earth surface. Degradation of the land surface and lack of water availability are the two major important problems mankind is facing in this century. In order to overcome these problems, there is a need of effective management of these resources. Watershed models are the tools which are not only useful for the effective management of these natural resources, but also useful for the proper understanding of the hydrological behavior of the watershed. These models play a vital role in simulating the hydrology of the watershed. Among the different categories of the model, a physically based, semi distributed hydrologic model SWAT was used for the assessment of the calibration and validation of the hydrologic model SWAT adapted to the study area. The data scarcity is one of the major problems in the ungauged watersheds. In order to overcome this problem, CFSR (Climate Forecast System Reanalysis) data which is a global, high resolutions, coupled atmoshphere ocean land surface sea ice system is available as an alternative option for solving the data deficiency in the watershed. The land use change also plays a vital role in altering the hydrologic system and has a large impact on the stream flow. This is mainly due to the rapid socio economic development. So, based on the above mentioned problems, SWAT output comparison using CFSR & observed meteorological data as inputs was take up. The impact of land use change on the hydrology of watershed was also studied. The platform used for the study was ArcGIS 10.3 with the Arc SWAT interface. The SWAT model set up was done for the Kunthipuzha river basin and the calibration and validation of the model was also done to make the model suitable for use in the area. This model was later used to understand the hydrologic behaviour of the watershed. The model was simulated for the period 1991 to 2013 for calibration and validation of the model was done using the data for the period 2014 to 2016. Before the model calibration and validation, sensitive parameters were evaluated using SWAT CUP (Calibration and Uncertainty Program). CN2 (Initial SCS runoff curve number for moisture condition II) and ALPHS_BF (Base flow alpha factor) were found to be the most sensitive parameters for the study area. The NSE and R2 before and after calibration were 0.81 & 0.83 and 0.82 & 0.85 respectively. The NSE and R2 for the validation were 0.70 & 0.87 respectively. Based on the statistical measures and the criteria used, the model performance is "very good" in the calibration period and "Good" in validation period. To analyse the possibility of using CFSR data instead on observed meteorological data, the developed model was run with observed meteorological data and predicted meteorological data (CFSR)was done separately without changing any other inputs for the period 1991 to 2013. The NSE, R2 and RMSE for the observed meteorological data were 0.82, 0.85 and 29.25 respectively where ad for the predicted meteorological data (CFSR) the values were 0.70, 0.72 and 37.18 respectively. Based on the statistical measures, the performance of the observed meteorological data is better than the predicted meteorological data. From the graphical analysis, it was clear that the values of predicted meteorological data were highly correlated with the observed meteorological data except at peaks. Hence, CFSR data can be used as a reliable data source in data scarce areas. The land use change impact play a major role in alternating the stream flow because of the rapid socio-economic development. The land use map for the year 2000 and 2017 were prepared. While comparing the land use for the year 200 and 2017 , it is found that the urban areas drastically increased from 3.01 to 20.01 % because of the rapid socio economic development. The forest land reduced from 22.24 to 21.31%. The percentage area under paddy decreased from 17.57 to 6.12 %. The model was simulated for the period from 1989 to 2016 with the two years of warm up period. Then the comparison of simulated discharge for the year 2000 and 2016 were evaluated. The results showed that there is no significant change in stream flow when the land use alone is changed keeping all other factors same.
Open 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.

Kerala Agricultural University, Thrissur

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