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Chaudhary Charan Singh Haryana Agricultural University, Hisar

Chaudhary Charan Singh Haryana Agricultural University popularly known as HAU, is one of Asia's biggest agricultural universities, located at Hisar in the Indian state of Haryana. It is named after India's seventh Prime Minister, Chaudhary Charan Singh. It is a leader in agricultural research in India and contributed significantly to Green Revolution and White Revolution in India in the 1960s and 70s. It has a very large campus and has several research centres throughout the state. It won the Indian Council of Agricultural Research's Award for the Best Institute in 1997. HAU was initially a campus of Punjab Agricultural University, Ludhiana. After the formation of Haryana in 1966, it became an autonomous institution on February 2, 1970 through a Presidential Ordinance, later ratified as Haryana and Punjab Agricultural Universities Act, 1970, passed by the Lok Sabha on March 29, 1970. A. L. Fletcher, the first Vice-Chancellor of the university, was instrumental in its initial growth.

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Subject: Farm Machinery and Power Engineering × End date: 2014 × Start date: 2014 × Type: Thesis × Thesis Type: M.Tech ×
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    ThesisItemOpen Access
    Performance evaluation of weeders in cotton
    (CCSHAU, 2014) Mor, Aman; Bansal, N.K.
    The performance of different types of weeder was evaluated so that the farmers can make a decision while purchasing the weeder of good quality. The present study was carried out to predict the performance of tractor operated and engine operated inter row rotary weeder and it was compared with traditionally used tractor drawn high clearance cultivator and manual hand hoe (Kasola). The crop and machine performance parameter were recorded at three stages of cotton crop i.e. pre-square, square and flowering. The soil resistance was recorded before, just after weeding (3rd stage) and at the time of harvest. The plant height, canopy of plant & weeding efficiency were recorded at three stages i.e. pre-square, square and flowering. Yield data (g/plant) was recorded under all the treatments taken in both varieties. The weeding efficiency with the use of tractor operated weeders was obtained up to the level of 74 to 76 per cent whereas it was 85.5 to 89.59 per cent with manual hand hoe. There was a significant difference in plant height at square and flowering stage whereas the canopy of plant was significant only at flowering stage. There was no significant effect on bolls per plant and lint yield per plant with the use of mechanical weeder. The field capacity of tractor operated inter row rotary weeder was in the range of 0.54 to 0.59 ha/h whereas it was 0.8 ha/h in tractor operated high clearance cultivator, 0.16 ha/h with engine operated power weeder and 0.05 ha/h with manual hand hoe. The per cent saving in cost of operation with mechanical weeder over manual hand hoe was in the range of 80 to 93. The B:C ratio of mechanical weeder selected for study was in the range of 1.57 to 4.4 and payback period was in the range of 0.44 to 1.7 years. Time saving over manual hand hoe in weeding operation with the use of tractor operated weeder was 90 to 93 per cent whereas in engine operated weeder it was 68.7 per cent over manual hand hoe. The per cent saving in labour requirement with the use of mechanical weeder was in the range of 96 to 99 per cent over manual hand hoe. The pulse rate after weeding operation in all the treatment were in the range of 104 to122 beats/min whereas the blood pressure was slightly higher with the use of engine operated power weeder (142/90) and manual hand hoe (135/88). Based on study the tractor operated inter row rotary weeder (Make, M2) is recommended.
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    ThesisItemOpen Access
    Performance evaluation of water application attachment in seed drill for dryland farming
    (CCSHAU, 2014) Verma, Kanishk; Vijaya Rani
    In India around 75% of area i.e. 108 million hectares is rainfed of total 143 million hectares of arable land. Whereas, in Haryana out of 44.02 lac ha geographical area, 35.65 lac ha is a cultivable land with 8.25 lac ha is rainfed which is about 19 % of the total area. Dry lands contribute 42% of the total food grain production of the country. These areas produce 75% of pulses and more than 90% of sorghum, millet, groundnut from arid and semi-arid regions. Due to dependency on rains the sowing is often delayed in dryland area which substantially reduces the yield of crop upto 35 %. A water application attachment seed drill was designed at COAE&T CCS Haryana Agricultural University, Hisar which provides water to seeds at time of sowing and help farmer to sow seed timely. The machine was tested and evaluated at CCS Haryana Agricultural University Farm. The performance was compared with ridger seeder, seed drill and hand plough. The effective field capacity of water application attachment on seed drill was observed 0.47 ha h-1 at average operating speed of 3.6 km hr-1. The field efficiency calculated was 73%. The water application rate of water application attachment on seed drill was fixed at 3000 l ha-1. Seed emergence per cent in water application attachment on seed drill was 8% higher than ridger seeder, 27% higher than hand plough and 16 % higher than seed drill. Number of plants per meter row length by water application attachment on seed drill was 13 %, 22 % and 18 % higher than ridger seeder, hand plough and seed drill, respectively. Number of pods per plant in water application attachment on seed drill was 8%, 11 % and 12.5% higher than ridger seeder, hand plough and seed drill, respectively. 1000 seed weight by water application attachment on seed drill was 2% higher than ridger seeder, hand plough and seed drill, respectively. Yield in water application attachment on seed drill was 15%, 24% and 27% higher than ridger seeder, hand plough and seed drill, respectively. Thus the water application attachment seed drill may be used by farmer of dryland for timely sowing of crop and increase in production may be achieved.
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    ThesisItemOpen Access
    Application of artificial neural network in prediction of tractor performance
    (CCSHAU, 2014) Karwasra, Nitin; Anil Kumar
    Prediction of tractor performance can lead to simulation and optimization of tractor performance, allowing optimum setting of different parameters as well as enhancing decisionmaking of manufacturer in design of new tractor. In the present study was carried out to predict tractor drawbar and PTO performance. 20 input different parameters selected for both drawbar and PTO performance prediction. The data used as input to train the network is collected from 141 tractor test reports tested between 1997-2013 at Central Farm Machinery Training & Testing Institute, Budni (M.P.). A Back propagation artificial neural network was developed using Neural Network Toolbox in Matlab software. Matrix of 1140x20 and 1140x1 was made as input and target values for drawbar prediction and 1704x20 and 1704x1 for PTO prediction in ANN. The optimum structure of neural network was determined by a trial and error method and 30 different structures were tried. For prediction of tractor drawbar performance the highest performance was obtained for the network with two hidden layer each having 35 neurons which employed Levenberg-Marquardt training algorithm. Regression coefficient and mse for this model is 0.994 and 1.284 respectively. For prediction of tractor PTO performance ANN model with 2 hidden layers having 40 and 35 neurons in first and second layer respectively gives highest performance. Regression coefficient and mse for this model is 0.996 and 1.080. Both the models are now ready to predict the tractor performance based on 20 input parameters.