应用人工智能技术进行作物形态诊断初探

作物形态诊断是农业生产管理中一个十分重要的环节，本文将图像分析技术和专家系统技术结合起来应用于作物的形态诊断，实现了作物特征的自动提取和形态的智能诊断，为进一步研究作物形态诊断的计算机技术打下基础。     

Recognition of a hidden mineral deposit by an artificial intelligence program

A computer program that uses artificial intelligence techniques has successfully identified the location of a porphyry molybdenum deposit. Given geological maps of readily available predrilling exploration data for Mount Tolman in Washington State and using rules obtained from a porphyry molybdenum exploration specialist, the program (called PROSPECTOR) identified the location of previously unknown ore-grade mineralization. This appears to be the first reported determination of the location of mineralization by such a computer-based approach.     

农业人工智能技术:现代农业科技的翅膀

加快推进人工智能等现代信息技术在农业中的应用,是现代农业发展的迫切需求,也有利于推进国家乡村振兴战略、数字乡村建设和智慧农业的发展。为深入剖析人工智能技术驱动智慧农业发展的潜力与方向,本文综述了农业人工智能的几个关键技术以及人工智能在种植业、禽畜牧业和农产品溯源与分级等应用研究领域的现状;分析了国内外农业人工智能技术的差距以及我国农业人工智能技术面临的国际态势和挑战;提出了我国发展农业人工智能的对策与建议。     

人工智能技术在种植业应用场景分析与挑战

【目的】 文章旨在介绍人工智能技术在种植业领域的应用现状和发展方向,分析当前面临的挑战,并提出相应的建议。【方法】 首先,将人工智能技术在种植业中的应用分为农情智能感知技术、农情信息通信技术、农情信息处理技术、农情智能装备和农情智能管理。其次,针对应用中存在的问题进行分析,并指出当前中国人工智能技术在种植业领域发展所面临的挑战。最后,提出相关建议以应对这些挑战。【结果】 人工智能技术在种植业领域的应用已经取得了显著成效,可以优化种植策略,提高效率,降低成本,减少浪费和损失。然而,在应用中仍面临一些挑战,主要集中在数据资源掌握与应用、技术开发与核心技术以及认知理念与管理方式三方面。【结论】 为了进一步推动人工智能技术在种植业中的应用,实现农业高质量发展,该文提出以下建议：一是重视数据管理与保护,确保数据的质量和安全;二是强化关键技术研发能力,加强人工智能在种植业中的核心技术研究;三是完善监管与复合人才的培养机制,建立健全的政策法规和培训体系。     

Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence

Precision Agriculture - Identifying and quantifying the number and size of stomata on leaf surfaces is useful for a wide range of plant ecophysiological studies, specifically those related to...     

Perspectives on supercomputing

This article provides a brief look at the current status of supercomputers and supercomputing in the United States. It addresses a variety of applications of supercomputers and the characteristics of a large modern supercomputing facility, the radical changes in the design of supercomputers that are impending, and the conditions that are necessary for a conducive climate for the further development and application of supercomputers.     

Perspectives on cognitive neuroscience

How is it that we can perceive, learn and be aware of the world? The development of new techniques for studying large-scale brain activity, together with insights from computational modeling and a better understanding of cognitive processes, have opened the door for collaborative research that could lead to major advances in our understanding of ourselves.     

饲料配方模糊规划和随机规划原理

本介绍了用模糊规划法和随机规划法设计饲料配方的基本原理。     

食品加工业全要素生产率及其影响因素研究——基于人工智能和农业效率的视角

基于2009—2019年省级面板数据,运用DEA-Malmquist指数法测算中国食品加工业全要素生产率及分解项,进一步在固定效应模型下检验人工智能和农业效率对全要素生产率的影响机制和影响程度。结果表明,研究期间食品加工业全要素生产率整体呈上升趋势,主要由技术进步拉动,但增长率呈波动式下降;分经济区考察,南部沿海地区增长率最高,东北地区最低;人工智能促进技术进步,却抑制了全要素生产率增长,中国食品加工业存在“生产率悖论”;农业效率通过正向影响技术效率,促进全要素生产率提高。据此提出以赋能食品加工业转型升级、发展人工智能互补技术和建设现代农业为主要任务的对策建议。     

Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior

Precision Agriculture - The use of Artificial Intelligence (AI) in agriculture is expected to yield advantages such as savings in production resources, labor costs, and working hours as well as a...