CCTV News: At present, wheat in many places has been harvested one after another. According to the latest agricultural situation dispatch of the Ministry of Agriculture and Rural Affairs, 7.9% of the country's winter wheat has been harvested. In order to ensure that the pellets are returned to the warehouse, a batch of scientific and technological equipment has appeared. So, how do they help with the summer harvest? Let's go around and take a look.
Jiangsu Suzhou whole mechanized harvesting mobile phone remote control operation harvester
Yang Ying: In Tongli Town, Wujiang District, Suzhou City, Jiangsu Province, according to the law of wheat harvesting from south to north, this is also one of the earliest harvesting areas in Jiangsu, with a wheat planting area of nearly 10,000 mu. The harvester is slowly driving through the wheat field for the entire mechanized harvest.
In this park, there is also an "unmanned farm". What the future of agriculture will look like, here you can get a sneak peek. The big database of farm IoT realizes the whole process monitoring of crop production process and all-weather monitoring of crop growth information. Through the mobile app, the operator can operate the driverless harvester and remotely control the steps of harvesting, threshing, and loading into the grain silo. On the mobile phone, information such as engine speed and grain silo status will also be clearly displayed.
Henan Zhumadian copes with rainfall Crawler harvesters help grab the harvest
According to meteorological forecasts, in recent days, this round of rainfall has affected Henan, Anhui, Jiangsu, Chongqing and Hubei. In Zhumadian City, Henan Province, where wheat is fully ripe in many plots, the city's 52 emergency harvesting service teams have stepped up to help farmers grab the harvest while the rain stops.
CCTV reporter Liu Cheng: In the wheat field in Sanqiao Town, Runan County, Henan Province, a rain that has just fallen has made the wheat field particularly soft. Taking advantage of the lack of rain, the emergency service team urgently transferred four crawler harvesters to help rush the harvest.
Anhui Shou County "Beidou Night Eye" makes night harvesting more efficient
In Qingfeng Village, Shou County, Anhui Province, the wheat field roared at night, and the agricultural mechanics continued to work in order to complete the harvest before the rain.
Lu Bingbing, agricultural mechanic in Shou County, Anhui Province: Now because of Beidou, we have planned the route, it is like a sweeper at home, and it will definitely not miss the harvest.
"Running" of the three summers, cost reduction and efficiency increase
In order to ensure that the grains are returned to the warehouse, in addition to the wheat harvest, there are still many details that need to be paid attention to in all aspects of storage, transportation, processing, and even field management before harvest. In these areas, technology also plays an important role.
In Hebei, wheat is now entering the filling period. In Xiaobi Village, Luquan District, Shijiazhuang City, Hebei Province, farmers are rushing to grasp farming, using automatic translational sprinklers to irrigate nearly 400 mu of high-standard farmland wheat, greatly saving water consumption and reducing manual input.
Li Yonghe, a farmer in Xiaobi Village, Luquan District, Shijiazhuang City, Hebei Province: In the past, when watering these 300 mu, it took about 10 jobs, but now it takes two people to complete it. This year's wheat is a new variety, Zhongwheat 6032. The varieties are also chosen correctly, and the water is saved, so this year's wheat is growing well.
Hubei Zhongxiang makes up for the drying shortboard, grain uses "hair dryer"
Production saves costs and increases efficiency, and in the storage and transportation link, through scientific and technological means, it can also achieve the reduction of loss and consumption of stored grain. In Zhongxiang, Hubei, the wheat here will usher in the opening of the sickle. In previous years, the problem of grain drying has always been a shortcoming affecting grain collection and storage, but this year, the same wheat field has a new change.
Manager of Hubei Jingmen Zhongxiang Tianhe Agricultural Machinery Service Cooperative Zeng Zhaozhou: The 6 pieces of equipment next to me are a new set of fully automatic drying tower equipment, with a daily drying capacity of about 360 tons, which is the first drying time after our equipment is put into use.
At present, the major grain-producing areas in Hubei Province are increasing the guarantee of the indicators of the construction land plan of grain drying centers (points) by optimizing the land environmental assessment approval process. Up to now, 301 new grain drying centers have been added in the province, reducing the annual loss of grain mildew by 100 million jin.
"Running" Sanxia looks at technology and insect face recognition
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? 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, Dr. Du Jianming of the Hefei Institute of Intelligent Machinery of the Chinese Academy of Sciences is busy taking pictures of pests on the wheat with his colleagues in the wheat field.
Dr. Du Jianming, Hefei Institute of Intelligent Machinery, Chinese Academy of Sciences: The gathering of aphids, generally not in this position there is a cluster, now it looks quite good, you look at the whole stalk, if we stretch down, so sweeping, there are no (pests), (wheat) under the root does not seem to be there, the whole stem is quite clean.
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 tap the shooting button of the mobile phone to complete the picture acquisition.
Du Jianming, Ph.D., Hefei Institute of Intelligent Machinery, Chinese Academy of Sciences: The role of mobile phones is not only to collect photos, but also to upload photos taken anytime and anywhere to the server for storage.
On the dedicated mobile phone software, the bugs taken by Du Jianming are 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, and some pests are extremely similar, and it is difficult to distinguish and classify them with ordinary artificial intelligence technology.
Dr. Du Jianming, 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, so that we can determine the average number of pests and diseases in this field to assess the disaster level here. On the whole, it is more difficult to go up a level 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 7 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, Hefei Institute of Intelligent Machinery, Chinese Academy of Sciences: We have a variety of pests, including some common and uncommon, and we can also provide some assistance to experts and give him a reference advice, how to control and control, what kind of medicine or what compound fertilizer to use, etc., from production to final harvest a series of management.
Source: CCTV