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

20221
Reset filters
Subject: Agricultural Engineering × Author: Authors : KOSLE, ABHA ANIE. × End date: 2023 × Start date: 2020 × Type: Thesis ×
Reset filters

Search Results

Now showing 1 - 1 of 1
  • 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