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Showing 3 results for Kaushal
Volume 6, Issue 3 (9-2017)
Abstract
Trichoderma is one of the efficient biocontrol agents due to its high reproductive capacity, ability to survive under unfavorable conditions, efficiency in nutrient utilization, capacity to modify the rhizosphere, strong aggregativeness against the pathogenic fungi and efficiency in promoting plant growth and defense mechanisms. Therefore, the present investigation is carried out as an alternative practical and safe approach for mass multiplication of Trichoderma on different agro based media. Among them wheat straw and farmyard manure were found to be the best solid media supplemented with 10% wheat flour.The highest population count of Trichoderma species was observed in wheat straw. Antioxidant producing crops were also added to this carrier medium at a rate of 5g/kg in order to enhance the shelf life of propagules of Trichoderma species. Maximum population count wasobserved in soybean, maize and brown rice.
Volume 12, Issue 2 (Spring 2024)
Abstract
Aim: Due to increasing flaws in digital satellite images, the classification of land use and land cover (LU/LC) must be done accurately. It is important to assess the accuracy of Cartosat-1 and LISS-IV data, concentrating on how well-suited these data sets were for mapping and tracking land use and cover. The purpose of the study was to evaluate how well these datasets distinguished between various land cover categories.
Method: Supervised classification is crucial for accurate mapping and monitoring land cover and land use dynamics. It uses known samples to train classification algorithms, enabling detailed analysis and decision-making, and distinguishing subtle spectral variations. A total of 200 points were randomly selected in the study area using stratified random selection methodology for accuracy assessment which was verified using Google earth.
Findings: The results of study show that the overall accuracy for LU/LC classification of Cartosat-1 and LISS-IV for the year 2021 was obtained as 92% and 88.50% respectively with corresponding kappa coefficient values as 0.90 and 0.86 respectively which proves that data from Cartosat-1 is more accurate as compared to LISS-IV for LU/LC classification. It was also found that LU/LC classes belongs to both classified data of Cartosat-1 and LISS-IV data showed variability in their areas. Due to the high spatial resolution of Cartosat-1 data LULC classes edge to edge classification results have been obtained. Different feature have been purely identified and classified.
Conclusion: Cartosat-1 dataset is better than LISS-IV dataset for deailed LU/LC classification due to its high spatial resolution.
Volume 24, Issue 5 (9-2022)
Abstract
This research work on structural stability analysis of naturally ventilated polyhouses was carried out at the Department of Soil and Water Engineering, Punjab Agricultural University, Ludhiana. There were 12 treatments which were combination of four different sizes of polyhouses i.e. 560 (T1-T3); 1,008 (T4-T6); 2,080 (T7-T9); 4,000 m2 (T10-T12), with three design wind speeds of 100, 150, and 200 km h-1, respectively. Stability analysis of truss members, columns, and foundation was carried out by considering dead loads, live loads and wind loads. Support reactions were computed on truss and column joints. Member forces were computed by using force method. For every 17 set of truss members, four members [two in compression (small arc) and two in tension (truss bracings)] failed in treatments with 150 and 200 km h-1 wind speed, while in treatments with 100 km h-1 wind speed, two members [in compression, (small arc)] failed. Minimum structural GI pipe material requirement for structurally stable polyhouses was under treatment T1 (2,407 kg) and the maximum was under treatment T12 (19,550 kg).
