New PV Metrology for performance appraisal of PolySilicon PV Modules in Eastern Indian climatic Zone

An appropriate number of series-connected supercapacitors (SC) forming an SC bank has been used for the first time as the load to PV generators in course of their electrical characterization. Exhaustive estimates of standard PV parameters along with figures of merits like Fill-factor(FF) and performance ratio(PR) have yielded consistent results under naturally varying levels of insolation and ambient temperature prevalent in West Bengal of India. Regression analysis of selected PV parameters has indicated values above 0.997 for poly-Si PV modules which currently constitute the only essential building blocks for PV arrays in the Indian subcontinent. Work is in progress for the adoption of this simple, user-friendly, and easily scalable I-V plotter in PV Indian industries and field trials.

Improving the Classification Accuracy of Fragmented Cropland by using an Advanced Classification Algorithm

<p>Fragmented crop land and marginal landholdings play an important role to classify the landuse and adopt different cropping and management practices. Here the implementation crop classification algorithms are very much difficult and produce results with lower accuracy. Static imagery captured in the optical bands are often contaminated with cloud cover and fail to detect the phenological as well as the structural changes happening during the crop growth. This is very common and most typical in Indian climatic condition. Here, during monsoon period capturing temporal satellite images of the crop periods is a very challenging task. Therefore, the present study aims at application of a novel crop classification algorithm that utilizes the temporal patterns of synthetic aperture radar (SAR) datasets from Sentinel-1 in mapping of landuse of an agriculture system, that is fragmented, small and heterogeneous in nature. Here we used different polarization of Sentinel-1 datasets and developed the temporal crop patterns of different crops grown in semi-arid region of India. Further, an advanced classification algorithm such as time weighted dynamic time wrapping (TWDTW) is employed to classify the cropland with a higher accuracy. Pixel based image analysis was carried out and tested their applicability for cropland mapping. In-situ data sets are collected from the study site to validate the exhibited results from classification outputs. The overall accuracy of the pixel based TWDTW method performed very good results with accuracy of 63 %. The Kappa coefficient is found to be 0.58. The findings confirmed that the pixel based TWDTW algorithm has the potential to delineate the croplands, which were subjected to varying irrigation treatments and management practices, using sentinel-1 datasets.</p><p><strong>Keywords:</strong> crop classification, landuse, image analysis, Sentinel-1, TWDTW</p>

Performance Analysis of Solar Stills with Different Absorbing Materials

Water is the fundamental need of humanity. The consumption of water is rising with each day. The major parts of the available water, i.e. 97%, are saline seawater and 2% is ice and glaze. Just 1% of the water is pure drinking water. Therefore in order to satisfy the demand for fresh water, it is important to turn the impurity of salty sea water or brackish water into pure water. The Solar Single Slope Single Basin (SSSB) is not being experimentally investigated. The experimentation was performed during the months of May and June 2020 under Indian climatic conditions. The efficiency of still cotton cloth with marbles and jute cloth with marbles is 50.00 per cent and 46.15 per cent respectively, higher than average.