Evaluation of a WSM system for a smart system in agricultural systems

On the earth, there will likely be over 9 billion people, and food demand will rise by 50%. In addition, a 10% decrease in agricultural productivity may result from climate change. Because arable land is stable, multi-layered farms are a feasible approach to produce additional food from small regions. Utilizing intelligent technologies to boost production in these farms that mimic factories makes sense. Smart farming (SF) is the application of information and communication technology on equipment; it includes sensors and equipment used in agricultural production systems. Internet of things and cloud computing are recent innovations. This, together with the use of robots and artificial intelligence in agriculture, ought to spur growth. Wheat, barley, fruits, vegetables, and fodder are the most widely consumed agricultural goods. Agriculture's socioeconomic viability is weather-dependent. By choosing the right crops, a farmer can increase productivity and do it at a lower cost. based on the cost and natural resources available A multi-criteria decision-making model (MCDM) can be used to sort crop options, promote sustainable agriculture practises, and identify the optimal crop for the situation. When evaluating the quantity of food produced in a season, a vertical farm's indoor hectare can provide the same yield as 30 hectares of land using 70% less water and no pesticides. One of the key factors impacting the evolution of SF among the numerous systems available was demonstrated to be cohesion. Additional limitations include the education, skills, and ability of farmers to understand and operate SF instruments. Businesses were able to research and address these problems because to these limits, and science can help. India's use of basic for sustainable farming methods The model's development is the main focus of the study. Using MCDM methods, the best crop was identified, followed by soybean, apple, rice, corn, and cucumber. Fruits also become a crop with a high yield. Such a method is applicable to other places and can be expanded to include different crops for sustainable agricultural operations. The Ministry of Environment and Agriculture in India expects help from the study to build an acceptable agricultural policy. Soybean is in 1st rank and Rice is last rank.