Agricultural Water Productivity Using Weighted Aggregated Sum Product Assessment Method

Abstract

Water productivity is a unit of agricultural production for water decrease in the size, of crops, and trees, for livestock and fish can be evaluated. Agriculture water productivity per hectare tons of water or kg consumed kg of water the yield is consumed following) yields on the unit size of the water physical productivity disclosure of crop yields total or net present the yield period will change by value water losses or economic productivity incomplete or excluded water consumption with reference volume ( a bank water ) per unit block. Water productivity ‘ per unit crop production ’ will be used and defined as a water's number. Agricultural production systems with water the idea that productivity is ‘ the same more food with water bodies focusing on manufacturing ’ or with ‘ low water bodies production of the same amount of food does. Initially, irrigation performance of methods irrigation ability to describe or water use capacity was used. In terms of agriculture, ‘ water use capacity ’ will produce a plant as the quantity of organic matter is defined. This is, however, the terms used ‘ water use capacity ’ and ‘ performance ’ will not follow the classical concept of it, this is for input and output uses the same units. Therefore, the international water management company ( iwmi ) ‘ water use capacity ’ to ‘ water productivity ’ until the change of nomenclature is proposed. Analysis purpose, size, and domain step water productivity are many you can define more ways. one unit of water revenue equals one unit of water productivity (wp). More food, more money, a better standard of living, and improved ecosystem services result from increased water productivity. One unit of water revenue equals one unit of water productivity (wp). More food, more money, a better standard of living, and improved ecosystem services result from increased water productivity. It aims to produce contains. Crop, livestock, and water of fisheries in the domains of productivity to improve the size of the basin there is considerable opportunity. This will be used to achieve water harvesting in procedures, sub-watering, lack irrigation, precision techniques for irrigation, and practices for protecting soil and water are included. Soil fertility, pest, and disease management, and improved crop selection getting into markets from improvements like such by the interactive effects obtained water management impacts water directly with productivity related procedures. Benefits of using the Waspas technique weighted sum model (WSM) and weighted product model (WPM). Accuracy of ranking waspas alternatives is increased by integrating wsm and wpm. Wasps are an optimal at this point in the calculation of the additive parameter, which will be discussed in more depth later. The finest solution is the waspas method of analysis, which is outstanding. The long-range solution identifies a better answer than the short distance and negative-best, but a comparison of these distances is not thought to be important. Alternative is Kilograms per cubic meter, Dollars per cubic meter, Protein grams per cubic meter, Calories per cubic meter. Evaluation preference is Cereal Wheat ($0.2 per kilogram), Rice ($0.31 per kilogram), Maize ($0.11 per kilogram), Legumes Lentils ($0.3 per kilogram), Fava beans ($0.3 per kilogram). From the result it is seen that Rice ($0.31 per kilogram) is got the first rank where as is the Fava beans ($0.3 per kilogram) is having the lowest rank. .Rice ($0.31 per kilogram) is ranked first and Fava beans ($0.3 per kilogram) are ranked lowest.