Special Topic Guide - Smart Agricultural Technology and Machinery in Hilly and Mountainous Areas
Yang Fuzeng1, Yu Gaohong2
1. School of Mechanical and Electronic Engineering, Northwest A & F University, Yangling 712100, Shaanxi, China; 2. School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, 310018 China
The hilly and mountainous areas are important production bases for fruits, vegetables, tea, grains and oils in the mainland, but due to the complex terrain, small plots and narrow slopes, the traditional agricultural production methods are inefficient and the labor costs are high. Mechanization and intellectualization in hilly and mountainous areas are one of the hot spots in the research and development of the agricultural machinery industry in the future. In order to promote the mechanization, intelligence and intellectualization of characteristic agriculture in hilly and mountainous areas, and improve the agricultural production efficiency in hilly and mountainous areas, this issue of "Smart Agricultural Technology and Machinery in Hilly and Mountainous Areas" includes 9 relevant excellent paper results, and reports the research progress of new technologies for the development of modern agriculture in hilly and mountainous areas.
The team of Professor Yang Fuzeng of Northwest A&F University summarized the research status of hilly and mountainous tractor leveling and anti-rollover system, and pointed out the development direction of hilly and mountainous tractor leveling, anti-rollover early warning, unmanned and automated technology in the future.
Soil is the most basic means of production in agriculture, and its quality is closely related to the efficient production and sustainable development of agriculture. The team of researcher Zhang Ruirui from the Intelligent Equipment Technology Research Center of Beijing Academy of Agriculture and Forestry Sciences summarized the main technologies used to obtain information on physical and chemical parameters of farmland soil, and put forward development suggestions based on the operational needs of farmland environment according to the focus direction of future research. Remote sensing technology provides technical support for the real-time acquisition of cultivated land information in hilly and mountainous areas and the mechanization of farmland. Based on the high-resolution GF-6 remote sensing image, Dr. Li Hao's team from Sichuan Agricultural University used four new deep learning models to realize the information recognition of hilly cultivated land, and compared it with the recognition accuracy of SinoLC-1, a land cover product. In order to solve the problem that it is difficult to carry out automatic extraction of terraced fields due to complex terrain conditions and planting environment, the team of associate researcher Zhang Jun of Yunnan University constructed a semantic segmentation dataset based on the GF-6 image of the fallow terraces, and proposed a DeepLab v3+ model using the lightweight network MobileNet v2 as the backbone network improvement to accurately extract the terraced area in the high-resolution remote sensing image. In order to explore the relationship between ecological risk and cultivated land slope in hilly and mountainous areas, the team of associate professor Wang Tianyi of China Agricultural University evaluated the ecological risk of cultivated land before and after mechanization in Tongnan District of Chongqing by using landscape pattern index based on land use data in 2010 and 2020, and analyzed the correlation between ecological risk and cultivated land slope, which was used as an important basis for accurately guiding the mechanization of farmland in hilly and mountainous areas.
In order to solve the problem of communication delay and its compensation strategy in multi-vehicle formation cooperative control, the team of Professor Gong Liang of Shanghai Jiao Tong University studied a trajectory tracking method for multi-machine formation driving of agricultural machinery based on model prediction controller (MPC) delay compensator. The team of associate professor Ji Jie of Southwest University designed an adaptive time-domain MPC controller to meet the requirements of complex operations such as autonomous mowing, so as to solve the problem of poor tracking effect and adaptability of traditional path-tracking MPC robots in the process of curve path operation. The navigation and positioning of intelligent agricultural robots are easily affected by factors such as tree occlusion and electromagnetic interference in the agricultural environment, and the team of engineers from China Automotive Engineering Research Institute Co., Ltd. Pan Deng proposed a positioning method for agricultural robots based on three-dimensional lidar (LiDAR) and inertial measurement unit (IMU) information fusion to meet the positioning requirements of agricultural robots operating autonomously in the environment of weak satellite navigation signals. In view of the problems such as the dust affecting the detection performance of seed flow during the operation of the air-delivered rapeseed seeding machine and the difficulty of the monitoring system to adapt to the number of sowing rows with different widths, the team of Professor Ding Youchun of Huazhong Agricultural University designed a dust-removing seeding monitoring system for rapeseed seeder composed of flow detection device and sowing monitoring terminal.
Northwest A&F University "Hilly and Mountain Machine-Soil-Crop Integrated Experimental Platform"
Smart agriculture WeChat exchange service group
In order to facilitate the academic exchange of readers, authors and reviewers in the field of agricultural science, promote the development of smart agriculture, and better serve the readers, authors and reviewers, the editorial department has established a WeChat communication service group, where questions related to issues in the professional field and submissions can be consulted. How to join the group: Add the editor's WeChat 331760296, note: name, unit, research direction, the editor pulls you into the group, and the institutional marketing and advertising personnel do not disturb.
Post a call for submissions
Welcome to publish information such as the introduction of the scientific research team, innovative scientific research achievements and related activities on our official account.