The Application of AI in Delicate Agricultural Management

Abstract

At present, from 2023, Taiwan and the whole world will start a wave of AI exquisite smart agriculture. The introduction of high-tech assisted farming decision-making has become a trend and a trend of the times. Most young farmers and agricultural enterprises have begun to use drones in various ways. AI improves the farming process, fruit picking and livestock raising, and is used in various major technological applications for the full transformation and digitization of Taiwan's agriculture. As a result, taking the most common rice planting in Taiwan as an example, the high-resolution lens of the drone is equipped with multiple sensors or multi-functional sensors, and the growth environment and parameters, such as temperature changes, can be collected in real time at high altitude. Information such as chlorophyll content, soil nitrogen content and active ingredient content can also be monitored from the air for stunted crops, signs of pest or weed damage, drying and many other changes. Combined with back-end software for AI big data analysis, farmers can instantly confirm the growth of delicate agricultural crops, monitor whether rice fever or various pests and diseases occur, and AI big data data will also give farmers such as replanting seedlings, applying any fertilizer, etc. Farming helps solve problems, and timely adopts the most appropriate farming method based on AI big data parameters. In terms of method, AI is to accurately sow seeds and make good use of high-tech agricultural technology equipment to grow crops. Farmers use the planting technology of variation rate technology to effectively use the differences of each farmland, so that chemical fertilizers and seeds can be used accurately and appropriately on the farmland. So far, some high-tech companies have launched harvesting robots to help farmers. These robots are quite innovative in harvesting technology. They can use machine vision and other functions to avoid unripe fruits and pick ripe fruits. They are quite AI intelligent. The final conclusion is that the reduction of labor resources meets the needs of agriculture. On the other hand, command AI artificial intelligence to guide the planting of delicate agricultural products. Before harvesting, farmers must first obtain big data to prescribe the right medicine. To reduce risk and solve problems faster. AI artificial intelligence management and computer vision mobile technology allows farmers to find weeds, pests and eradicate them instead of spraying the entire crop. The food is cleaner, and farmers also save a lot of cost of spraying pesticides. The harvest affected by AI's precise and delicate management of agriculture is another good example. These latest technologies combined with artificial intelligence not only help farmers to produce efficiently but also reduce their burden, and further enable traditional agriculture to develop into "precision agriculture".