Thumbnail Image

Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola

Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola was established on 20th October, 1969 with its head-quarter at Akola. This Agricultural University was named after the illustrious son of Vidarbha Dr. Panjabrao (alias Bhausaheb) Deshmukh, who was the Minister for Agriculture,Govt. of India. The jurisdiction of this university is spread over the eleven districts of Vidarbha. According to the University Act 1983 (of the Government of Maharashtra), the University is entrusted with the responsibility of agricultural education, research and extension education alongwith breeder and foundation seed programme. The University has its main campus at Akola. The instructional programmes at main campus are spread over in 5 Colleges namely, College of Agriculture, College of Agricultural Engineering & Technology, College of Forestry, College of Horticulture and Post Graduate Institute. At this campus 4 degree programmes namely B.Sc.(Agri.) B.Sc. (Hort.), B.Sc. (Forestry) and B.Tech. (Ag. Engg.) , two Master’s Degree Programmes viz. M.Sc.(Agri.) and M.Tech. (Agri.Engg.) and Doctoral Degree Programmes in the faculties of Agriculture and Agril. Engineering are offered. The University has its sub-campus at Nagpur with constituent College, College of Agriculture which offers B.Sc.(Agri.) and M.Sc.(Agri.) degree programmes. The Nagpur Campus is accomplished with a garden, surrounded by its natural beauty and a well established Zoo which attract the general public and visitors to the city. A separate botanic Garden is being maintained on 22 hectares with a green house for the benefit of research workers. In addition there are 2 affiliated grant-in-aid colleges and 14 private non-grant-in-aid colleges under the umbrella of this University A Central Research Station is situated at the main Campus which caters to the need of research projects undertaken by Crop Scientists of the principle crops of the region are Cotton, Sorghum, Oilseeds and Pulses.

Browse

2020 - 20225
Reset filters
Subject: Agricultural Engineering × End date: 2023 × Start date: 2020 × Type: Thesis × Thesis Type: M.Tech. ×
Reset filters

Search Results

Now showing 1 - 5 of 5
  • Thumbnail Image
    ThesisItemOpen Access
    Description : The present investigation was conducted at Department of Irrigation and Drainage Engineering, College of Agriculture Engineering and Technology, Akola, Dr. PDKV, Akola during the year 2020-2021 for calibration and validation of AquaCrop model for irrigated okra crop.
    (Publisher : Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2022-10-04) Authors : SIRSAT, LAXMAN GOVINDRAO.; Advisor : Wadatkar, S. B.
    Abstract : The present study entitled “calibration and validation of AquaCrop model for irrigated okra crop” was conducted at Department of Irrigation and Drainage Engineering, Dr. PDKV, Akola. Predicting attainable yield under water limiting condition is an important goal in rainfed agriculture. Proper irrigation planning is not only essential for water saving, but also for yield enhancement and it is only possible when an accurate and reliable decision-making tool has been adopted. AquaCrop is one of the model extensively used for irrigation plaining purposes. To evaluate the performance of the model, entitled study “Calibration and Validation of AquaCrop model for irrigated okra crop” was undertaken, with objective to calibrate and validate this AquaCrop model. AquaCrop model was calibrated using okra production data for the period 3rd December 2016 to 14th March 2017. The harvest index was observed as 86% for the okra. Thus, validation was carried out without any further adjustment to the calibrated parameters. The model validated for the period 20th November 2017 to 1st March 2018. Using irrigation treatment T1 and T2. Two statistical parameters i.e. root mean square error (RMSE) and Nash Sutcliffe coefficient of efficiency (R2Ns) were used as performance indicator. Results indicated that both statical parameters were in acceptable limit for both calibration and validation period. Testing of two formulated Irrigation Schedules was carried out for period of 3rd November 2018 to 12th February 2019. AquaCrop model was tested for two different irrigation schedules formulated during 2018-19 and it was observed that Iirrigation schedule S0 (80 % ETc with PM) was best fitted in terms of water saving and yield obtained as compared to S1 (60 % ETc with PM) irrigation schedules.
  • Thumbnail Image
    ThesisItemOpen Access
    Title : VEGETATION INDICES BASED CROP COEFFICIENTS TO ESTIMATE EVAPOTRANSPIRATION OF WHEAT.
    (Publisher : Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2022-10-12) Authors : KOSLE, ABHA ANIE.; Advisor : Pimpale, A. R.
    Abstract : Water is regarded as "Blue Gold," and is considered to be the most critical issue of the current century. Water scarcity is continuously becoming the most prominent environmental constraint limiting plant growth in many arid and semi-arid regions and can adversely affect food security worldwide Precise irrigation water management is needed in order to utilize scare water resources effectively. The water requirements of crops are generally estimated by guidelines provided in FAO-56 bulletin in which tabulated values of crop coefficients (Kc) are used. These crop coefficients are point based and actual crop evapotranspiration (ETc) is crucially dependent on crop coefficient curves. Remote Sensing derived multispectral vegetation indices (VIs) have similar pattern as that of crop coefficients (Kc). Therefore, VIs can be used to model crop coefficients and utilized as proxy Kc. The use of VI can give spatial dimension to Kc and thus spatial variability of water requirement can be well captured. Therefore, the present investigation entitled ‘Multispectral Vegetation Indices-based Crop coefficients for Irrigation Water Management’ was undertaken with major objective of finding the most appropriate VI showing close relationship with crop coefficients of rabi sorghum and wheat crops. The study was carried out in Pratapgarh district situated in Uttar Pradesh. Images of Sentinel 2 A, MSI sensor were used to generate multi temporal commonly used vegetation indices RVI, NDVI, NDWI and SAVI. Spectral behavior of wheat crop indicated that the VIs follows the similar pattern as that of crop coefficients. The crop acreages were computed by utilizing two stage hybrid classification of remote sensing. These estimates showed deviation of 4.43 % from the estimates of Department of Agriculture, for wheat crop. The values of multi-date vegetation indices RVI, NDVI, NDWI and SAVI were arranged according to the age in terms of weeks. The week-wise crop coefficients (Kc) recommended by MPKV Rahuri were used to form the relationship with VIs. Linear regression analysis was applied and the relationships were established in the form of prediction models. It was found that all the vegetation indices (VIs) have reasonably good correlation with crop coefficients (Kc) with higher R² values. However, NDWI-Kc model and showed best performance in case of wheat crop. For wheat crop, NDWI-Kc model showed highest R² and D values of 0.9485 and 0.991, respectively with lowest values of SE, RMSE and PD of 0.0841, 0.079 and 2.08, respectively. Therefore, NDWI was found most preferred remote sensing indicators for estimation of wheat crop coefficients. These best performing models were utilized to estimate week-wise crop coefficients. The crop water requirements were estimated and found 405.74 mm for wheat crop. Water demands for wheat crop were estimated. For wheat crop Water demand of Pratapgarh district was found 63.21 Mm3. Results of this study demonstrate the potential of multispectral vegetation indices for estimating spatial crop coefficients leading to correct site-specific crop water demand resulting in precise irrigation water
  • Thumbnail Image
    ThesisItemOpen Access
    Title : PROTECTIVE IRRIGATION PLANNING FOR RAINFED CROPPING AT AKOLA STATION FOR CLIMATE RESILIENT AGRICULTURE
    (Publisher : Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2022-10-04) Authors : TALOLE, RUSHIKESH SURESH; Advisor : Kale, M. U.
    Abstract : The present study entitled “Protective Irrigation Planning for Rainfed Cropping at Akola Station for Climate Resilient Agriculture” was conducted at Department of Irrigation and Drainage Engineering, Dr. PDKV, Akola. Annual and weekly climate variability in terms of rainfall, minimum and maximum temperature were analysed for the period from 1998 to 2019. The increase in average annual maximum and minimum temperature for all stations in Akola was found as 0.8% and 1.5%, respectively. The average reduction in annual rainfall for Akola district was 99.02 mm (11.76%). The variation in average weekly rainfall, average weekly maximum temperature and average weekly minimum temperature was accessed for SMW 23 to SMW 39 in Akola district. The maximum and minimum weekly reference evapotranspiration during monsoon season was observed in SMW-23 (June) and SMW-31 (August), respectively. The high values were may be due to high and low temperature during June and August. The reference evapotranspiration varies from 6.39 mm day-1 to 3.75 mm day-1. The maximum monthly rainfall and effective rainfall was observed during the month of July, followed by August, June and September. The highest effective rainfall was found in Patur taluka followed by Barshitakali, Murtizapur, Akola, Akot, Telhara and Balapur. Crop water requirement for Cotton, Pigeon Pea and Soybean was estimated using CropWat 8.0 using crop coefficient approach for all stations of Akola. The Cotton and Pigeon pea crop requires at least 37.3 mm/month, 120.9 mm/month, 121.4 mm/month, 114.7 mm/month, and 18.9 mm/month irrigation water during September, October, November, December and January respectively. Peak irrigation requirement of cotton and pigeon pea was found in the month of November. The protective irrigation schedule was generated using CropWat 8.0 for Cotton, Pigeon Pea and Soybean for all stations of Akola. There is no need of protective irrigation for soybean crop due to low irrigation requirement during Kharif season. The amount of protective irrigation for Cotton and pigeon pea requires protective irrigation in the month of October (>130mm) followed by December (>128mm), November (>65mm). The protective irrigation planned for the study area will help to increase the crop production.
  • Thumbnail Image
    ThesisItemOpen Access
    Title : MODIFICATION AND PERFORMANCE EVALUATION OF MANUALLY OPERATED PADDY TRANSPLANTER.
    (Publisher : Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2022-10-08) Authors : DANESHWAR KUMAR.; Advisor : THAKARE, Dr. S. K.
    Abstract : Rice (Oryza sativa L.) is the most widely consumed staple food in the world. India is the world's second largest rice producer and the world's largest rice exporter. Transplanting of rice is the most common method in India. In most of the region transplanting is done manually. Manual rice transplanting is a tedious, labour intensive and very times consuming job requiring (250-300 man-h ha-1). Nowadays lot of efforts are made to introduce the mechanical transplanter in the country, but they are not popularized in Indian conditions due to small farm size, undulating topography of soil and climatic conditions, cost of the machine etc. In order to develop new transplanter, initially the study of existing CRRI paddy transplanter was done. The limitations and drawbacks have been highlighted. It was found that the existing transplanter needed some modification in order to reduce draft or drudgery, proper movement of tray index, increase field capacity, planting efficiency and reduce the unproductive hills. Therefore, a project on “modification and performance evaluation of manually operated paddy transplanter” was undertaken. Results of machine performance tests showed the sedimentation period of 36 hours was found to be most suitable for transplanting as float sinkage was minimum of 1.9 cm and required depth of planting of 4.5 cm was observed. The missing hills, floating hills, buried hills and damaged hills were found to be 10.34, 4.5, 2.29 and 1.13 per cent respectively. The total unproductive hills 18.37 per cent which was 10.72 per cent lower than the existing transplanter. The planting efficiency were found to be 81.61 per cent. The planting efficiency of the modified transplanter was increased by 11.52 per cent and found to be more effective than the existing transplanter. The actual field capacity and field efficiency were found to be 0.040 ha/h and 71.32 per cent respectively and increased by 37.5 % and 0.30 % as compared to existing manually operated paddy transplanter.
  • Thumbnail Image
    ThesisItemOpen Access
    DEVELOPMENT AND PERFORMANCE EVALUATION OF TRACTOR OPERATED COTTON STALK UPROOTER ATTACHMENT FOR SHREDDER
    (Dr. Punjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2020-11-07) JAGATAP, ANIKET RAMAKANT; Kamble, Dr. A. K.
    Cotton (Gossypium) being a fluffy staple fiber that grows in a boll is one of the major crop produced in India accounting 22 percent of world total production. In India 500 million tons of crop residue are prouduced annually out of which 90-150 million (Bhuneshwari et al ., 2019) are burned in the field and after harvesting of cotton, the leftover cotton stalk (crop residue) are generally burned in the field causing pollution or slashed to certain depth without uprooting which require considerable amount of labour and drudgery. Therefore, a cotton stalk up-rooter attachment for shredder was developed to solve the issue of cotton crop residue management problem in the field. The field evaluation of the machine was conducted at stalk uprooting depth of 150 mm, 200 mm and 250 mm and forward speed of tractor of 1.5 km/h, 2.5 km/h and 3.5 km/h as independent parameter and were evaluated for field capacity, field efficiency, power requirement, draft requirement, wheel slippage, fuel consumption, stalk uprooting width and uprooting efficiency as dependent parameters. The depth of operation of 200 mm and forward speed of 2.5 km/h was found suitable for uprooting cotton stalk. The field efficiency, power requirement, draft requirement, wheel slippage, fuel consumption, stalk uprooting width and uprooting efficiency were found to be 0.22 ha/h, 76.58 per cent, 4.514 kW, 653.5 kgf, 12.81 per cent, 6.49 lit/h, 360 mm and 98.08 per cent, respectively. Cost of operation per hectare of cotton stalk shredder without stalk up-rooter attachment was found to be Rs. 1867.5 and for cotton stalk shredder with stalk up-rooter attachment was found to be Rs. 2670.26. The cotton stalk up-rooter attachment machine uprooted the cotton stalks from the soil and worked satisfactorily in the field.