Data analytics plays an important role in the improvement of business operations. An organization implements the technology of data analytics for better decision-making, analyzing customer trends, tracking customer satisfaction, and exploring the opportunities for the new product that can meet the requirement of the market. With the help of data and advanced Artificial Intelligence technology, users can gain real-time insights into the market, the demand for the product, sales, and finances.
It is expected that by the year 2050, the world population will be about Nine billion and the FAO (The Food and Agriculture Organization) predicts that there should be a growth of 70 percent in the production of agricultural output to meet the needs of the people. After understanding the need for agriculture and the strength of data analytics people have begun to implement the technology of data analytics and AI.
Data analytics and AI have limitless opportunities in the agricultural business. This technology can help the farmer in Nepal to understand the market demand which will ease the farmer in the crop selection process and can help the farmer in Nepal to understand what types of crops or agricultural products will be profitable for them. In many cases, farmers grow the product that has maximum supply and minimum demand as a result the farmer bears losses. But with the help of data analytics and AI the market can analyze the market demand and select the crops or products accordingly. Similarly, the farmers can use forecasting and predictive analytics which can help the Nepalese farmer reduce the error that was made in the agricultural processes, and which could help the farmers minimize the risk of crop failure. This will help the Nepalese farmers to earn more profit and upscale the business.
Data analytics and AI can assist the Nepalese farmer to monitor the real-time health of the crop which can help the farmer to estimate the missing nutrients in the soil and act accordingly. Many farmers don’t understand the real-time situation of soil and as a result, face a lack of production from the harvest. If the farmer could understand the real-time situation of the soil and act accordingly then the soil can produce more quantity of agricultural products which will benefit the Nepalese farmers. In addition, AI can help the Nepalese farmer to supervise the state of the plant and predict diseases, identify, and removes weeds that affect the plant’s overall growth. This technology can help the farmers to figure out the effective treatment of pests as many farmers don’t know which pest should be used in a certain situation as a result the pest won’t be effective for the farmer to solve the problem. If the farmer knows which pest should be used in the current situation, then it will help the farmer deal with the problems and improve the harvest.
Data analytics and AI can transform the traditional way of agriculture in Nepal and can benefit farmers in multiple ways. Data analytics and AI can help the Nepalese farmer to supervise the real-time health of the crops, develop predictive analytics related to future yields and assist the farmers to make resources management decisions as per the proven trends. As many farmers of Nepal face challenges regarding understanding the market demand, risk management, monitoring of the soil health, and protection of the crop. This technology will provide access to smart farming tools and a vertical farming system that can perform small, repetitive, and time-consuming tasks so that the farmer can invest their time which requires human intelligence. The data analytics and Ai can help the Nepalese farmers solve this problem which will be reliable for the farmer as well. This technology can solve the current problem faced by the farmer and help the Nepalese farmer improve their harvest.