AI News 09月30日 20:53
人工智能助力农业,优化蔬菜种子选择
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人工智能正深刻改变各行各业,农业领域也不例外。蔬菜种子公司正利用AI技术,从海量选项中识别最佳蔬菜品种,以满足不同市场和生长条件下的需求。传统种子选择方法耗时耗力,而AI的应用能够分析大量数据,预测特定地区最适合的种子品种,甚至精确到10米x10米的范围。Syngenta Vegetable Seeds与Heritable Agriculture的合作便是典范,他们共同开发软件系统,为不同地区和种植者推荐最合适的种子。AI不仅能提高产量,更能帮助种植者应对气候变化带来的不确定性,最终目标是提升全球粮食安全,确保食物的经济性、韧性和可靠性。

💡 AI赋能农业精细化管理:AI技术通过分析海量数据,能够精准预测不同地区、不同气候条件下的最佳蔬菜种子品种,从而提高种植效率和成功率。这标志着农业正在从经验驱动转向数据驱动的精细化管理。

🌱 优化种子选择流程:传统的种子选择过程涉及大量的实地试验、数据收集和反馈,耗时且成本高昂。AI的应用大大缩短了这一周期,通过算法分析历史数据和地理信息,能够快速推荐最适合的品种,为种子公司的商业化决策提供有力支持。

🌍 应对气候变化与保障粮食安全:在全球气候变化日益严峻的背景下,AI在预测和适应极端天气条件方面展现出巨大潜力。通过选择最能适应当地环境的种子品种,AI有助于提高农作物的韧性,保障全球粮食供应的稳定性和可持续性。

🤝 跨界合作推动技术创新:Syngenta Vegetable Seeds与Heritable Agriculture(源自Alphabet)的合作,展示了传统农业企业与高科技公司联手推动行业变革的趋势。这种跨界合作能够将前沿AI技术与深厚的行业知识相结合,加速创新成果的应用落地。

AI is the cream of the crop in today’s tech field, with industries relying on generative AI to improve operations and boost productivity. One sector that using AI with measurable results is agriculture, with vegetable seed companies harnessing the technology to identify the best vegetable varieties out of thousands of options. This facility can help growers in diverse markets who work in very different conditions from one another.

Finding the best vegetable seeds is not just down to yield – growers look for varieties that address unique local climate patterns and growing conditions. The traditional route of variety selection involves several manual processes, including testing and comparing different seed varieties, running field trials, mass data collection, and gathering feedback from growers. Now, seed companies are now turning to AI technology that run alongside traditional selection methods, to analyse such information. This saves time and resources between selection and first crop.

Syngenta Vegetable Seeds and Heritable Agriculture are at the forefront of AI adoption in this sector, and are collaborating to enhance commercial crop portfolios. Heritable is a new company spun out of the innovation lab at Alphabet (Google’s parent company) that develops AI tools to analyse agricultural data. The two companies combine to create software systems that can recommend which vegetable seed varieties should be offered to which growers and where.

Using AI tools with Syngenta’s global product portfolio, Heritable relies on crop trialling and existing data on localised geographical conditions to predict the best-performing commercial seed varieties for different regions. The aim is to forecast how well vegetable seed varieties will perform for growers worldwide yet on a micro-level, accurately predicting the best choices down to an accuracy of around 10 metres x 10 metres.

Matthew Johnston, Global Head of Vegetable Seeds and Flowers at Syngenta, said AI has considerable potential in agriculture. “Planting the right seed is important to a grower’s success. New technologies like AI can help us bring the best innovation to the field or greenhouse.”

Syngenta has already been using AI in its business, in areas like bio-stimulant and fertiliser development. Recently, the company added an AI chatbot called ‘Cropwise AI‘ to its Cropwise digital platform to help growers make informed decisions about crop choices by analysing data.

Ultimately, the goal is to improve food security and ensure growers around the world can produce food that is affordable, resilient, and reliable. That’s particularly important as climate conditions change and become more unpredictable.

(Image source: “Harvesting crops” by World Bank Photo Collection is licensed under CC BY-NC-ND 2.0.)

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相关标签

人工智能 农业 蔬菜种子 AI Agriculture Vegetable Seeds Syngenta Heritable Agriculture 粮食安全 Climate Change Food Security
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