Mobile phone unlocking, face payment, nowadays, face recognition technology has been widely used, but have you heard of "insect face recognition"? In Anhui, there is such a group of young doctors, who hold "selfie sticks" and take "photos" of insects in the field for "insect face recognition". What kind of technology is this, and how can it help agricultural production?
A long "selfie stick" pokes into the wheat, deep or shallow, and moves quickly, like a "minesweeper". In Xuanzhou District, Xuancheng City, Anhui Province, Du Jianming, a doctor at the Hefei Institute of Intelligent Machinery of the Chinese Academy of Sciences, is busy taking photos of pests on the wheat with his colleagues in the wheat field.
Dr. Du Jianming, Hefei Institute of Intelligent Machinery, Chinese Academy of Sciences: Generally, the gathering of aphids is a gathering in this position, and now it looks quite good, and then you look at the whole pole, if we stretch it out, there are no pests in this sweep, there seems to be no wheat under the root, and the whole stem is quite clean under it.
How does the "selfie stick" achieve "insect face recognition"? Du Jianming's "selfie stick" is equipped with a high-definition camera and a smart terminal, just extend the device probe into the wheat field and gently click the shooting button of the mobile phone to complete the picture collection.
Dr. Du Jianming, Hefei Institute of Intelligent Machinery, Chinese Academy of Sciences: The role of mobile phones is not only to collect photos, but also to upload the photos we take anytime, anywhere to the server for storage.
On the dedicated mobile phone software, the bugs taken by Du Jianming were automatically framed by the intelligent system. At the same time, the system analyzes the type and number of pests in the background, as well as the occurrence level of pests. The impact of these pests and diseases on agricultural production is enormous, and regular monitoring of crop pests and diseases is required in order to "take food from the pests". However, the traditional calculation method is to count the land one by one, which is time-consuming and laborious, and cannot guarantee the accuracy of the data.
How to combine artificial intelligence and agriculture to make agriculture smarter? It is a question that Du Jianming and his scientific research team have been thinking about. However, insect face recognition can be different from face recognition. Some pests are so similar that it is difficult to distinguish and classify them using ordinary artificial intelligence technology.
Du Jianming, Ph.D., Hefei Institute of Intelligent Machinery, Chinese Academy of Sciences: Bugs are generally very small, and what we really do is not only to identify whether it is an aphid, but also to know how many of these aphids there are. In order for us to determine the average number of pests and diseases in this field, we can use it to assess the severity of disease in this area. On the whole, it is more difficult than face recognition Zhang San or Li Si.
In order to gradually break through the difficulty of "insect face identification", Du Jianming and his team traveled to almost every county and city in the province to collect data from field pests, continuously accumulate samples, and optimize databases. At present, the "insect face" database has collected more than 700 million pictures, more than 500 kinds of pest and disease "appearances", covering 29 kinds of crops and cash crops such as wheat, rice, rape, etc., with an identification accuracy of more than 80%. Huge database allows pests to nowhere to hide.
Hu Haiying, senior experimentalist at the Hefei Institute of Intelligent Machinery, Chinese Academy of Sciences: We have various pests here, including some common and uncommon, and we can also provide some assistance to experts. And give him a reference advice, that is, how to prevent and treat, what kind of medicine or what compound fertilizer to use, etc., from production to the final harvest of a series of management. (CCTV News Client)