Open AccessMethod study for implantation positioning of corn seeds
Author(s) -
Bin Yan,
Yuejin Xiao,
Nana Gao,
Hebo Mei,
Tianxing Liu,
Meng Zhang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/512/1/012091
Subject(s) - seeder , position (finance) , standard deviation , precision agriculture , process (computing) , seeding , compensation (psychology) , simulation , computer science , environmental science , agricultural engineering , engineering , mathematics , statistics , agriculture , psychology , finance , psychoanalysis , economics , aerospace engineering , operating system , ecology , biology
To meet the needs of precision agriculture for crop location information, to achieve accurate plant position of crops, and to solve the problem of low resource utilization rate and high operation cost caused by repeated identification and positioning of plants in each part of field management, a seed positioning method was proposed by using maize planting as research object. A 4-row precision planter was used, all seed tubes were replaced with optoelectronic sensor (OE-sensor) equipped tubes to monitor seeds dropping. An RTK satellite receiver mounted on seeder frame girder provided global position. Furthermore, time and distance compensation model of seed from OE-sensor to implantation process was established based on EDEM numerical simulation. Seeds implantation location prediction and actual position measurement data acquisition programs were developed. Field test results showed that the mean, range and standard deviations (SD) of the longitudinal deviation between prediction location and actual position in operation direction were greater than vertical deviation which is perpendicular to operation direction. 87.7% of corn seeds dropped within 50mm from prediction location at operating speed of 3.2 km/h. This method can provide theoretical reference for synchronous generation of seed map in seeding process.