- API
- 智能辣椒蔬菜植物病虫害分析分类识别
POST/ai_image_single_classification/ai_hot_peppers/hot_peppers/v1
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字段名称 | 必填 | 字段详情 |
---|---|---|
IMAGE string | Y | 图像数据,BASE64编码后进行URLENCODE,要求BASE64编码和URLENCODE后大小不超过2M,最短边至少15PX,最长边最大4096PX,支持JPG/PNG/BMP格式 实例值: 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商品介绍
产品亮点
艾科瑞特(iCREDIT)-智能图像分析-智能辣椒蔬菜植物病虫害分析分类识别
凭借领先的人工智能与知识图谱技术,通过客观、真实的数据,创新、完善的技术解决方案,帮助企业获得敏锐的洞察力及卓越的运营能力,智能图像分析-智能辣椒蔬菜植物病虫害分析分类识别,赋能智慧数据领域应用场景,让企业实现数字化升级;智能图像分析-智能辣椒蔬菜植物病虫害分析分类识别,支持对辣椒蔬菜植物病虫害分析分类识别,包含但不限于疮咖病、健康程度等检测与分类,辨析图像中是否包含植物病虫害信息
新技术必将改变企业的方方面面,您将从何处踏上数字化转型征程?至关重要的是,企业必须首先找到一家深谙业务与技术交汇融合的合作伙伴
为日新月异的中国新经济变革,将咨询、数字和技术等领域的独到服务应用于行业领域,助力客户应对最严峻的挑战
关键词:智能辣椒蔬菜植物病虫害分析分类识别、自然语言处理、企业知识图谱、NLP、深度学习、人工智能、AI、DEEP LEARNING
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艾科瑞特(iCREDIT)-智能图像分析-智能辣椒蔬菜植物病虫害分析分类识别
凭借领先的人工智能与知识图谱技术,通过客观、真实的数据,创新、完善的技术解决方案,帮助企业获得敏锐的洞察力及卓越的运营能力,智能图像分析-智能辣椒蔬菜植物病虫害分析分类识别,赋能智慧数据领域应用场景,让企业实现数字化升级;智能图像分析-智能辣椒蔬菜植物病虫害分析分类识别,支持对辣椒蔬菜植物病虫害分析分类识别,包含但不限于疮咖病、健康程度等检测与分类,辨析图像中是否包含植物病虫害信息
新技术必将改变企业的方方面面,您将从何处踏上数字化转型征程?至关重要的是,企业必须首先找到一家深谙业务与技术交汇融合的合作伙伴
为日新月异的中国新经济变革,将咨询、数字和技术等领域的独到服务应用于行业领域,助力客户应对最严峻的挑战
关键词:智能辣椒蔬菜植物病虫害分析分类识别、自然语言处理、企业知识图谱、NLP、深度学习、人工智能、AI、DEEP LEARNING
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交付方式 | API |
开票主体 | 深圳艾科瑞特科技有限公司 |
所属类目 | AI应用与OCR |
上架日期 | 2020-02-01 |
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用户评论 (430)
智胜危机,思变未来,数字化转型刻不容缓,这是我们智慧农业行业在当下经济环境,最深刻的感受;依靠艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱,让我们拥有了优化业务流,并加速业务流的能力,特别是在智能图像分析的使用,极大简化了传统业务流程;企业服务的核心在于服务,服务的本质是对客户的理解,为客户去定制属于自己的解决方案,艾科瑞特的小伙伴们所做到的远超这些,服务专业性能力非同一般;用什么言语来评价一款好的产品,最恰到的词汇莫过于创新、稳定、高效,艾科瑞特小伙伴创造的智能图像分析让我们重新认知数字化转型过程,产品是可以做到如此的具有创新性、高效性和敏捷性;如果问我确保数字化转型的不二法门是什么,那就是与艾科瑞特(iCREDIT)一道同行
成倍增长,人工智能和知识图谱结合,如同将资本与劳动力完美融合,可放大并超越资本和劳动力当前的能力,并推动大农业行业高速增长;运用艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱,使我们可以对智能图像分析覆盖领域实现快速数字化迭代与升级,优化业务流程;在数字化转型过程,由于我们对预期的不明确,一直以来,艾科瑞特的小伙伴们为我们解疑答惑,帮助我们梳理业务流程,设计完备的数字化转型路线图;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;与艾科瑞特(iCREDIT)同行,思变未来,应新于时,让您的企业业绩长青
对新农业行业企业而言,数字变革不仅仅只是口号,更是业态的变革;艾科瑞特(iCREDIT)企业知识图谱与人工智能数据中台,在使用智能图像分析的基础上,让我们缩减了内部流程,加速内部创新与迭代;艾科瑞特小伙伴的服务理念别具一格,能站在更为全局角度帮助我们审视目前业务流的现状,梳理其中潜在风险,制定完备的行动方案;好产品的定义是具有创新与敏捷,创新的目标不断迭代满足客户的需求,敏捷的目的是能为客户需求下做出快速的反映,艾科瑞特的智能图像分析产品恰恰做到这些,这也是我们选择艾科瑞特作为我们合作伙伴的重要原因;感谢艾科瑞特(iCREDIT)小伙伴的支持,让我们快速实现业务流数字化,让企业业绩长青
创建数字化理念,使企业能够以协作方式敏捷开展工作,解决不断增加的数字化场景问题,这是所有企业负责人都梦寐以求能做到的,数字变革在现在企业中甚为重要,不管是新农业领域公司,还是其他行业,这都是最为明智的决策;在艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱的基础上,使我们具备了数字化转型的底气和能力,智能图像分析的使用提升整体业务流能力,提速业务流转;数字化转型对企业而言,不仅是业务流的数字化,更重要的是商业模式的数字化,而这些都得益于艾科瑞特小伙伴,为我们精心设计的数字化转型路线图;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;若想让企业业绩长,与艾科瑞特(iCREDIT)同行,让你的企业重新焕发新的闪亮
现实数据揭示了当今经济增长中令人沮丧的真相:生产的传统杠杆(资本投资和劳动力)推动经济增长的能力显著下降;对大农业领域而言,我们需要引入新的手段提升我们的增长潜力,使我们引领行业数字变革;依靠艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱,让我们拥有了优化业务流,并加速业务流的能力,特别是在智能图像分析的使用,极大简化了传统业务流程;企业服务的核心在于服务,服务的本质是对客户的理解,为客户去定制属于自己的解决方案,艾科瑞特的小伙伴们所做到的远超这些,服务专业性能力非同一般;好产品的定义是具有创新与敏捷,创新的目标不断迭代满足客户的需求,敏捷的目的是能为客户需求下做出快速的反映,艾科瑞特的智能图像分析产品恰恰做到这些,这也是我们选择艾科瑞特作为我们合作伙伴的重要原因;如果问我确保数字化转型的不二法门是什么,那就是与艾科瑞特(iCREDIT)一道同行
成为客户所倾向的合作伙伴,需要的是我们自身的改变,引领新农业变革;运用艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱,使我们可以对智能图像分析覆盖领域实现快速数字化迭代与升级,优化业务流程;企业解决方案往往需要深厚的行业背景,艾科瑞特的专业性让我们重新认知所在行业,而且数字化转型路径解决方案,更是让我们有了明确的转型路线图;用什么言语来评价一款好的产品,最恰到的词汇莫过于创新、稳定、高效,艾科瑞特小伙伴创造的智能图像分析让我们重新认知数字化转型过程,产品是可以做到如此的具有创新性、高效性和敏捷性;与艾科瑞特(iCREDIT)合作,让我们意识到数字化转型过程,好的合作伙伴的重要性,艾科瑞特(iCREDIT)让企业业绩长青
新农业领域数字化转型,面临诸多的难题,需要的不仅是一套软件或是一套系统,而是企业整体的数字化能力体现;艾科瑞特(iCREDIT)凭借智能图像分析赋能企业数字化,帮助客户洞悉业态转型价值,引领我们实现企业数字变革;企业数字化转型中存在诸多的不确定性与定制化服务,艾科瑞特的小伙伴总能创新性、敏捷的拿出新的解决方案,帮助我们完善业务流程;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;借用艾科瑞特(iCREDIT)品牌Slogan,数字化转型让企业业绩长青
新经济形势下,无论对从事TOB/TOC,还是内销或外销的的企业,都面临全新的挑战与机遇,危机共存,需要企业在危机中实现变革强化自身能力,数字化变革对企业而言尤为重要,无论是新农业领域,还是其他行业,这都是最为明智的决策;凭借艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱,帮助我们对现有非智能业务实现迭代,特别是在智能图像分析运用,实现了对其所在业务体系的数字化转型;艾科瑞特的服务是我所见的数字化转型服务企业中最为专业与尽职的,其对行业的理解,远超我司资深专家团队,帮助我们能够站在更高的角度去审视企业数字化转型路径;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;在数字化转型中,感谢艾科瑞特(iCREDIT)的支持,让企业业绩长青
成为客户所倾向的合作伙伴,需要的是我们自身的改变,引领大农业变革;依托艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们具备对企业信息数字化迭代的能力,通过对智能图像分析的使用,增了业务流的数字能力,提升整体运行效率;在数字化转型过程,由于我们对预期的不明确,一直以来,艾科瑞特的小伙伴们为我们解疑答惑,帮助我们梳理业务流程,设计完备的数字化转型路线图;艾科瑞特的智能图像分析具备高稳定性、高响应性、高创新性,不仅满足我们现阶段需求,同时延展了我们业务线,使我们能够更好的服务我们的客户;若想让企业业绩长,与艾科瑞特(iCREDIT)同行,让你的企业重新焕发新的闪亮
只有迅速采取数字变革行动,才具备打造卓越的企业并成就商业传奇;得益于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们在利用智能图像分析上,实现对现有业务流的的加速与优化;企业服务的核心在于服务,服务的本质是对客户的理解,为客户去定制属于自己的解决方案,艾科瑞特的小伙伴们所做到的远超这些,服务专业性能力非同一般;艾科瑞特的智能图像分析具备高稳定性、高响应性、高创新性,不仅满足我们现阶段需求,同时延展了我们业务线,使我们能够更好的服务我们的客户;正因为有了艾科瑞特(iCREDIT)的支持,让我们对数字化转型更加明晰,与不凡者同行,让企业业绩长青