ALGORITHM TO SELECT MACHINERY TO PERFORM TECHNOLOGICAL PRACTICES IN CROP PRODUCTION

When selecting machinery to perform technological operations in crop production, it is necessary to take many factors into account. With the aim in mind, the algorithm «AGROTECH» is developed to accompany machine agrotechnologies for the production of crop stuffs (by the example of spring wheat cultivation) on the level of argicultural enterprise. The algorithm «AGROTECH-1» provides for the following: inlet initial data (information about field – type of predecessor; area of the field; type of technological operation; agrotechnical dates; fuel and lubrication stock (FLS) costs; social demographic factor – demand for high qualified farm machine operators; class and payment rate for the operator (number of working hours per shift). Formation of the optimal machine and tractor fleet under individual production and farming conditions of farm commodity producers is carried out by selecting machinery on the basis of information analysis for three parameters; number of working days required for the job (in rational agrotechnical dates); minimal fuel and lubrication stock consumption; economic costs including depreciation, repairing costs, technical service expenses; FLS costs; job payment fund. Recommendations to set up the optimal machine and tractor fleet (MTF) for a separate operation are designed based on considering individual production and farming conditions of a farm commodity producer; machinery available on the farm, new generation machinery employed on the farm, and social demographic factor (high qualified personnel supply). The «Algorithm-1» adaptation to a certain farm is resolved by using the database that has the information about machinery, operations performed and about economic indexes, such as balance cost for machinery, depreciation percentage, and payment rate for farm workers and farm machine operators for the farm concerned. To set up and edit attributive data bases the algorithm «Editor» is designed. The algorithms have block structure, which makes it easier to develop software aimed at its updating and unifying as well as at introducing additional functions.

information technologies, algorithm, data base, crop stuffs production farm commodity producer

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