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比孙猴子眼睛还尖 “桃脸识别”挑出最大最红的鲜桃

2017-09-08 10:32:52   中国经济网

机器学会识别桃子了,剩下的机械部分就相对容易了。周忠祥和同学一起,用纸盒子糊暗盒,用塑料袋剪挡帘,用饮料瓶盖做推手,再加上学校里提供的材料,做出了一个简陋的样机,搬到了刘连全的桃林里测试。

“比我雇的人选得快,不过比我嘛,还差一点。”刘连全评价说。他已经种了40年桃子。家里的30多亩桃园,种了20多个品种的大桃。他看一眼就知道是什么品种,手一掂就知道斤两。因为年纪大了,身体吃不消,近些年刘连全每年都要雇4、5个人摘桃,工钱近3万元,但经验不足的新手桃子分得并不理想。

现在有了这台分桃器,刘连全觉得省事多了,“把桃子倒进去,机器就给分好了。以后有没有机器人摘桃啊,让我们农民更方便?”围观的桃农们也很兴奋,“苹果能分不?”“西瓜能分不?”“李子呢?”

“理论上来说,只要有足够的训练图像,大到一个瓜,小到一粒米,机器都能识别分类。”周忠祥解释说,“只是要根据不同品种,建立不同的识别,模型,进行训练。”西蒙还期待这次的研究成果能够引入自己的家乡非洲,实现牛油果、芒果等更多品类果蔬的智能分拣。

“这项技术只是一个引子,帮助农业实现人工智能。”刘雪峰说,为了更好地帮助农民,几个学生“码农”已将大桃分拣机的所有方案和源代码分享到了GitHub开源社区,“我们希望有更多人去迭代这些代码,不断提升方案品质,也希望有更专业的农机厂家介入,批量生产出效率更高、更好用的蔬果分拣机。”(经济日报-中国经济网 佘颖)

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