Retraction Note: Evaluation of English translation accuracy of green plant surface irrigation and food words based on image processing

Abstract

China’s agricultural planting area is large, irrigation water consumption is large, and water resources are relatively small. Agricultural irrigation water management can have a huge positive impact on water saving and improvement of water use efficiency. The content of water in the soil is a key focus of irrigation water management. Before irrigating crops, it can not only monitor the current climate conditions but also assess the water demand of crops. After the crops are irrigated with water, the change index of the water content in the soil can help people evaluate the effect of irrigation. Therefore, timely and accurate acquisition of temporal and spatial soil water content information plays an important role in the scientific management of agricultural irrigation water. According to one of the three major irrigation areas in China, as an irrigation area in the experimental area, the 2020 thermal infrared method is used to measure the soil moisture content, and at the same time, the crop water demand estimation model is built, and the remote irrigation area sensor monitoring model and remote sensing irrigation are established. The model estimates crop water demand, area of irrigated area, and irrigation water volume. In addition, in recent years, English has gradually improved its status as the most important language tool in the international communication environment. In this case, more and more attention will be paid to the correctness of English translation. The correctness of English translation is affected by various cultural factors. Therefore, in order to further improve the accuracy of English translation, this article comprehensively analyzes the accuracy of English translation from the cultural background, cognition and thinking habits, and the influence of different cultural factors and proposes corresponding improvement plans for it.