yield prediction

简明释义

产量预测

英英释义

例句

1.Using advanced algorithms, the software provides accurate yield prediction for various crops.

通过使用先进的算法，该软件为各种作物提供准确的产量预测。

2.The farmers relied on yield prediction to determine the best time for planting their crops.

农民依靠产量预测来确定种植作物的最佳时间。

3.The yield prediction report indicated a potential increase in corn production this year.

该产量预测报告显示今年玉米生产可能会增加。

4.The yield prediction models helped the agricultural company maximize its profits.

该产量预测模型帮助农业公司最大化其利润。

5.Farmers attended a workshop on yield prediction techniques to improve their harvests.

农民参加了关于产量预测技术的研讨会，以改善他们的收成。

作文

In recent years, the agricultural sector has witnessed significant advancements in technology and data analysis. One of the most critical aspects of modern agriculture is yield prediction, which refers to the process of estimating the amount of crop that will be harvested from a particular field or region. This prediction is essential for farmers, agronomists, and policymakers as it helps them make informed decisions regarding resource allocation, market strategies, and food security. Yield prediction plays a vital role in sustainable farming practices by allowing farmers to optimize their inputs and maximize their outputs.To understand the importance of yield prediction, we must first consider the various factors that influence crop production. Weather conditions, soil quality, pest infestations, and farming techniques all contribute to the final yield. By analyzing historical data and current environmental conditions, scientists and agricultural experts can develop models that accurately forecast crop yields. These models often utilize machine learning algorithms and satellite imagery to enhance their accuracy.Farmers benefit immensely from yield prediction as it enables them to plan their planting schedules more effectively. For instance, if a farmer knows that a specific crop is likely to yield well due to favorable weather conditions, they may choose to plant more of that crop. Conversely, if predictions indicate a low yield, a farmer might decide to diversify their crops or invest in additional resources to mitigate potential losses.Moreover, yield prediction assists in addressing global food security challenges. As the world’s population continues to grow, the demand for food increases correspondingly. Accurate yield predictions allow for better planning and distribution of food resources, ensuring that supply meets demand. This is particularly crucial in regions prone to droughts or other adverse weather conditions, where predicting yields can mean the difference between famine and food sufficiency.In addition to benefiting individual farmers, yield prediction also has broader implications for agricultural policy and economic stability. Governments can use yield forecasts to inform their agricultural policies, subsidies, and support programs. By understanding potential crop yields, policymakers can better address issues related to food prices, trade, and rural development.Furthermore, the integration of technology in yield prediction has opened up new avenues for research and innovation. With the advent of precision agriculture, farmers can now utilize drones and IoT devices to gather real-time data about their fields. This data can feed into predictive models, enhancing their reliability and providing farmers with actionable insights.Despite its advantages, yield prediction is not without its challenges. Unpredictable weather patterns due to climate change, for example, can significantly impact the accuracy of yield forecasts. Additionally, the reliance on data and technology may create disparities between large-scale farms and smallholder farmers who may not have access to the same resources.In conclusion, yield prediction is a fundamental component of modern agriculture, enabling farmers to make informed decisions and contributing to global food security. As technology continues to evolve, the methods and tools used for yield prediction will likely become even more sophisticated, helping to ensure that we can meet the growing demands of our population while promoting sustainable farming practices. Understanding and embracing these advancements in yield prediction will be essential for the future of agriculture and food supply worldwide.

近年来，农业部门在技术和数据分析方面取得了显著进展。现代农业中最关键的一个方面是产量预测，即估计特定田地或地区将收获的作物数量的过程。这一预测对于农民、农艺师和政策制定者至关重要，因为它帮助他们做出关于资源分配、市场策略和粮食安全的明智决策。产量预测在可持续农业实践中发挥着重要作用，使农民能够优化投入并最大化产出。要理解产量预测的重要性，我们首先必须考虑影响作物生产的各种因素。天气条件、土壤质量、害虫侵扰和耕作技术都对最终产量产生影响。通过分析历史数据和当前环境条件，科学家和农业专家可以开发出准确预测作物产量的模型。这些模型通常利用机器学习算法和卫星图像来提高其准确性。农民从产量预测中受益匪浅，因为它使他们能够更有效地规划种植时间。例如，如果农民知道某种作物由于有利的天气条件可能会有良好的产量，他们可能会选择种植更多这种作物。相反，如果预测显示低产量，农民可能会决定多样化作物或投资额外资源以减轻潜在损失。此外，产量预测有助于应对全球粮食安全挑战。随着世界人口的不断增长，对食物的需求也相应增加。准确的产量预测允许更好地规划和分配食品资源，确保供需平衡。这在易受干旱或其他不利天气条件影响的地区尤其重要，预测产量可能意味着饥荒和食物充足之间的差异。除了惠及个体农民外，产量预测还对农业政策和经济稳定具有更广泛的影响。政府可以利用产量预测来告知其农业政策、补贴和支持计划。通过了解潜在的作物产量，政策制定者可以更好地解决与食品价格、贸易和农村发展相关的问题。此外，将技术融入到产量预测中为研究和创新开辟了新途径。随着精准农业的出现，农民现在可以利用无人机和物联网设备收集关于田地的实时数据。这些数据可以输入预测模型，提高其可靠性，并为农民提供可操作的见解。尽管有其优势，产量预测也面临一些挑战。例如，由于气候变化导致的不可预测的天气模式可能会显著影响产量预测的准确性。此外，对数据和技术的依赖可能会造成大规模农场和小农户之间的差距，小农户可能无法获得相同的资源。总之，产量预测是现代农业的基本组成部分，使农民能够做出明智的决策，并促进全球粮食安全。随着技术的不断发展，用于产量预测的方法和工具可能会变得更加复杂，帮助确保我们能够满足不断增长的人口需求，同时促进可持续农业实践。理解和接受这些在产量预测方面的进步将对农业和全球食品供应的未来至关重要。