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In between the Rabi and the Kharif seasons, there is a short season during the summer months known as the Zaid season. Some of the crops produced during Zaid season are watermelon, muskmelon, cucumber, vegetables and fodder crops. Sugarcane(doesn’t require the need to fall into any season like rabi,etc. to be sown) takes almost a year to grow.
Kharif crops are usually sown at the beginning of the first rains during the advent of the south-west monsoon season, and they are harvested at the end of monsoon season (October–November). Monsoon sowing dates vary, occurring toward the end of May in the southern state of Kerala and reaching July in some north Indian states.
Good rain in winter spoils rabi crops but is good for kharif crops. The major rabi crop in India is wheat, followed by barley, mustard, sesame and peas. Peas are harvested early, as they are ready early: Indian markets are flooded with green peas from January to March, peaking in February. Many crops are cultivated in both kharif and rabi seasons.
In computer programming, a characterization test (also known as Golden Master Testing [1]) is a means to describe (characterize) the actual behavior of an existing piece of software, and therefore protect existing behavior of legacy code against unintended changes via automated testing. This term was coined by Michael Feathers.
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.
Non functional test (performance, stress test) The aim of software dynamic verification is to find the errors introduced by an activity (for example, having a medical software to analyze bio-chemical data); or by the repetitive performance of one or more activities (such as a stress test for a web server, i.e. check if the current product of ...
A test data set is a data set that is independent of the training data set, but that follows the same probability distribution as the training data set. If a model fit to the training data set also fits the test data set well, minimal overfitting has taken place (see figure below). A better fitting of the training data set as opposed to the ...
Black-box testing, sometimes referred to as specification-based testing, [1] is a method of software testing that examines the functionality of an application without peering into its internal structures or workings. This method of test can be applied virtually to every level of software testing: unit, integration, system and acceptance.