SU MMARYAgricultural crop management decisions often require data on hydraulic properties of soils. Little information is available on hydraulic properties of clay soils that are impounded by rainwater (known as 'Haveli ' lands) every year during the monsoon season in large tracts of Madhya Pradesh in India. Estimating hydraulic properties using global pedotransfer functions (PTFs) is one possible way to collect such information. Rules in the widely used global PTF Rosetta were executed to obtain estimates of two important hydraulic properties, namely soil water retention characteristics (SWRC) and saturated hydraulic conductivity (K s ). SWRC estimates obtained with maximum input (particle size distribution, bulk density, field capacity and permanent wilting point) in Rosetta were relatively closer to the laboratory-measured data as compared with the estimates obtained with lower levels of input. Root mean square error (RMSE) of estimates ranged from 0 . 01 to 0 . 05 m 3 /m 3 . Hierarchical PTFs to predict K s from basic soil properties were derived using statistical regression and artificial neural networks. Evaluation of these indicated that neural PTFs were acceptable and hence could be used without loss of accuracy.
In this paper we are introducing new method of software cost estimation for Agile based software projects (Web based agile projects) and also like to introduce how this method is improving performance and efficiency of Agile based Software cost estimation. Rapid application development model CORADMO provided cost estimation in the form of rapid person productivity count by using person-month (Effort) and month (Schedule), but CORADMO followed waterfall model, so in agile case we do not require waterfall model fully and in agile software development all the stage of development having rapidly change with customer requirements, and COCOMO-II have no longer support for this, we needed a new method to improve rapid cost estimation performances, and also relate with agile methodology and provide more matching relation with agile methods: DSDM, ASD, AUP and SCRUM.
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