Future Research Opportunities Agricultural Sector Using Weighted sum method (WSM)

Abstract

Agricultural sector Introduction: Crop and animal production, agricultural machinery, fertilizers, fertilizers, and agriculture agricultural machinery to support other types of products including manufacturing a branch of economics. Learn more: rural areas recreation and tourism to demonstrate ability as an innovative approach clustering. World's staple food staples as wheat and india is the second largest producer of rice big india is now the world the second largest fruit, based on agriculture textile raw materials, roots, and tuber crops, pulses varieties, farmed fish, eggs, coconut, sugarcane and more produces vegetables. Research significance: Primarily agricultural sectors growing crops and animals raising, and a farm, on the farm or theirs from natural habitats fish and other animals engaged in harvesting. The agriculture sector today has many challenges faced, i.e. Climate the change is dramatic in statistics for changes and feeding enormous increase in demands. Agriculture 4.0, industry 4.0 was created in light of name, cross-industry technologies, and connecting applications by addressing these challenges aims to crop to improve products with the ultimate goal of agriculture 4.0 information and communication using technologies. For measuring related data it defines methods, analyzing measurements near real-time, if necessary. Define actions accordingly using, for example, the weather and soil conditions data through special sensors collect and then each individual the right amount of water for the plant, pesticides, and fertilizers machine learning to determine can be analyzed by methods. Methodology: the weighted sum method is a multi-criteria decision-making systematic, with many alternatives there are many more criteria basically what is the best alternative we have to decide. Weighted average or weighted a group of sums is a group a machine learning approach, it makes predictions from multiple models integrates, where each a contribution of the model is its capacity or in proportion to skill is weighed. Weighted with the mean ensemble voting ensemble related to this method advantages of using it ease of use, esp working with convergent problems including when disadvantages an all in non-convex solution space unable to find solutions being and goals a straightforward way to assign weights there is no way. Alternative: 2015, 2018, 2020, 2021. Evaluation preference: agriculture marketing, milk-fed financial institute and social forestry, dairy farming, soil and water conservation, animal husbandry. Results: the result is seen that agriculture marketing got the first rank whereas is dairy farming is having the lowest rank. Conclusion: it can be seen that agricultural marketing gets the top rank, whereas dairy farming has the lowest rank.