Towards smarter agriculture: automatic identification of crop heads with artificial intelligence

• 全文链接

迈向智慧农业：利用人工智能的作物自动识别

关键词：

来源：

EurekAlert

全文链接：

//agri.nais.net.cn/topic/downloadFile/90c80784-3c57-4041-9b02-2839971f74fd

来源地址：

https://www.eurekalert.org/news-releases/986813

资源所属：

农业与资源环境信息工程专题

类型：

前沿资讯

语种：

英语

原文发布日期：

2023-04-20

摘要：

Recent advances in artificial intelligence (AI), alongside drones and digital cameras, have greatly extended the frontiers of smart agriculture. One attractive use case for these technologies is precision agriculture. In this modern approach to farming, the idea is to optimize crop production by gathering precise data about plants and the state of the field, and then act accordingly. For example, by analyzing aerial images of crops, AI models can determine what parts of a field need more attention, as well as the current stage of development of the plants. Among all the crop monitoring functions that AI can do, crop head counting remains as one of the most challenging to implement. Images of crops contain densely packed, repeating patterns that are usually irregular and overlapped, making it difficult for deep learning models to automatically detect specific plant organs. Ideally, one would train such models using thousands of manually annotated images, in which pixels belonging to crop heads are pre-specified. In practice, however, annotating crop images is extremely tedious and time-consuming.