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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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2021 - 20233
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Subject: Processing and Food Engineering × End date: 2023 × Start date: 2020 × Type: Thesis × Thesis Type: Ph.D ×
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Now showing 1 - 3 of 3
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    ThesisItemOpen Access
    Development of cold plasma system for shelf life enhancement of strawberry (Fragaria× anannasa)
    (CCSHAU, Hisar, 2023-03) Sapna; Attkan, Arun Kumar
    The study was conducted to develop lab scale cold plasma system for the surface treatment of strawberries. To evaluate the developed cold plasma system, experiments were conducted on strawberries by varying applied voltage (10, 20, and 30kV), electrode gap (60, 65, and 70mm), and exposure time (60, 90, and 120 s). The strawberry was exposed to the cold plasma in-package as well as without the package. The effects of cold plasma process parameters on the microbial, physical, and antioxidant properties of the treated strawberry were analyzed using the response surface method (RSM). The treated as well as untreated control samples were stored at 4⁰C and the effect of the storage period on the different microbial, physical, and antioxidant properties was examined. There was a significant effect of cold plasma process parameters on the microbial count of the strawberry. Total bacterial count and mold and yeast count, for treated strawberries, had decreased with an increase in applied voltage from 10 to 30 kV. The total bacterial count and mold and yeast count decreased with the decrease in electrode gap and increase in exposure time. There was no significant effect of cold plasma process parameters on the color change values (ΔE), firmness, TPC, and TFC of the strawberries. There was a significant effect of storage time on all the parameters of the strawberry. The cost economics of the developed lab scale cold plasma system was evaluated based on economic indicators viz. breakeven point (92.33kg), payback period (0.68yr/ 8months), and benefit-cost ratio (1.48) of treated strawberry at selling price of Rs.250/kg. Overall, the developed lab-scale cold plasma system was found quite efficient for surface treatment and shelf life enhancement of strawberries.
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    ThesisItemOpen Access
    Development of image processing based automated grader for kinnow mandarin (Citrus reticulata L.)
    (CCSHAU, Hisar, 2023) Sachin; Nitin Kumar
    The investigation entitled “Development of image processing based automated grader for kinnow mandarin (Citrus reticulata L.)” was carried out to study the maturity indices of kinnow mandarin based on physical properties for quality evaluation. Relationships between physical, quality, image processing parameters and the maturity stages were evaluated via different statistical tools i.e. MATLAB curve fitting, SPSS (Duncan’s Multiple Range Test), OriginPro software statistical tools etc. The maturity indices from first January to first February was found and corresponding maturity standards of the kinnow based on the analysis of the physical parameters and chemical parameters were concluded i.e. fruit color (L: 76.85±3.29 to 86.23±3.30, a: 38.76±1.50 to 61.56±2.00, b: 75.91±3.33 to 81.22±4.13), fruit weight: 181.34±1.42 to 185.67±2.03 g, peel thickness 4.44±0.07 to 4.69±0.08 mm, peel weight: 26.51±0.12 to 27.54±0.44 %, fruit firmness: 5.78±0.73 to 6.22±1.12 kgf, fruit volume: 172.45±1.70 to 183.87±0.58 ml, sphericity: 0.89±0.04 to 0.91±0.05, TSS: 11.11±0.81 to 12.01±0.93 °Brix, TA: 0.83±0.02 to 0.86±0.07 g/100 ml, Juice %: 46.32±2.11 to 47.78±0.80 %, MI: 12.92±0.21 to 14.41±0.48; AA: 22.66±0.97 to 24.97±1.19 mg/100 ml; pH: 4.29±0.04 to 4.42±0.10. The study was also taken to develop image processing based grader for kinnow mandarin fruit, performance evaluation and cost economics of the grader. The best combination was found at 96 m/min conveyor speed and with 300 lux light intensity of the chamber for maximum output of the kinnow grader and it was resulted in term of system capacity, grading efficiency and performance index which was found as 430 kg/h, 92.12 % and 19.63. The independent parameter was found having a significant effect on the performance of the grader and the cost economics was also found i.e. payback period 68 days, break-even point after grading of 20505 kg kinnow fruits, benefit cost ratio was 5.38. The grader was also compared with manual grading and benefit ratio was found 3.1 which was around three times more beneficial than manual grading. The grader was found helpful for effective grading of kinnow fruits and can be used by the farmers as well as the entrepreneurs.
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    ThesisItemOpen Access
    Modelling of modified atmosphere packaging of vegetables for shelf life enhancement
    (CCSHAU, Hisar, 2021-08) Kargwal, Raveena; Garg, M.K.
    The present study was undertaken the modelling of modified atmosphere packaging (MAP) of vegetables for shelf life enhancement. Determination of shelf life, model development and its validation using SPSS and MATLAB software was carried out to predict the shelf life of cucumber (Cucumis sativus L.) and tomato (Lycopersicum esculentum) on the basis of physicochemical parameters and sensory evaluation under passive and active MAP. The model was developed by using temperature, film thickness, perforations and O2 absorber to predict the physico-chemical parameters of cucumber and tomato. R2 is statistically measure how close the data to fitted regression line. Validation process examined the best fitting of model. Z-test between predicted and actual value, P< 0.05 is significant. P-value of all parameters are non significant which indicates that model is best fit. The results were optimized so as to find the levels of independent variables which would provide the maximum possible shelf life evaluated in terms of various quality parameters. During passive MAP of cucumber and tomato were packed in low density polyethylene and stored under different conditions such as film thickness: 25, 37.5 and 50 micron; level of perforation 0, 3, 6; storage temperature: 5, 10, 15°C (cucumber) and 10, 15 and 20°C (tomato). While in case of active MAP of cucumber and tomato were packed in LDPE and stored under different conditions such as film thickness: 25 and 50 micron; level of perforation 0, 3, 6; oxygen absorber sachet: 1 g, 2g and without sachet; storage temperature: 10°C. Analysis of physicochemical properties (physiological loss in weight (%), total colour difference, total soluble solids, ascorbic acid, chlorophyll content, lycopene, total phenolic content, flavonoid content, antioxidant activity and firmness) of cucumber and tomato was found in throughout the storage study. Sensory evaluation was done on the basis of visual appearance and odour rating. The study also examined that the 10°C for cucumber and tomato retained better quality up to 27 days and 21 days under passive MAP whereas 24 days for cucumber and tomato under active MAP. The optimized conditions obtained for shelf life enhancement of cucumber and tomato under passive MAP by SPSS software were temperature: 10°C, film thickness: 25 micron and non-perforations. Whereas optimum storage conditions for active packaging of cucumber was found 1g O2 absorber sachet and 25 micron thickness with non-perforated. Optimum storage condition for active packaging of tomato was found 1g O2 absorber sachet and 25 micron thickness with 3 perforations.