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Scheduling Of Plant Protection UAVs For Fusarium Head Blight Control

Posted on:2022-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:X Y XuFull Text:PDF
GTID:2543307133987999Subject:Engineering
Abstract/Summary:PDF Full Text Request
Wheat is one of the important food crops in China,Fusarium head blight(FHB)is a common disease that affects wheat yield.The outbreak of FHB will not only affect wheat yield,but also produce a variety of mycotoxins in wheat grains infected by pathogenic bacteria.These toxins will pollute flour and produce carcinogens,which will bring great hidden danger to human and livestock food safety.Therefore,FHB has become a disease of high concern in the world.With the development of science and technology,UAV(unmanned aerial vehicle)technology has been widely used in pesticide spraying,precision seeding and other different types of aviation operations.With the development of UAV technology for plant protection,the use of UAV for precision spraying has become an important business in agricultural plant protection.Due to the complex agricultural operation environment in China and the weak management ability of agricultural machinery authorities,unmanned aerial vehicles(UAVs)cannot achieve scientific and effective scheduling,which greatly reduces the efficiency of UAV plant protection work.At the same time for the heavy strong timeliness,of wheat,plant protection,UAV and its personnel to the scarcity of operation etc.,to establish scientific and reasonable scheduling scheme to improve prevention and control of wheat farmers should miss 3 best time lead to wheat production or rejection and effectively reduce the cost of plant protection fly against the team has the vital significance.In this paper,a solution of multi-machine operation scheduling was proposed for the prevention and control of wheat scab by using plant protection UAV.According to the characteristics of FHB pathogenesis and prevention and control of FHB prevention and control of process can be divided into two phases,the first stage,according to a 2000-2020 in Jiangsu province,the occurrence of the heavy wheat area of forecast area 3 in Jiangsu province in 2021,the second according to the climate factors such as temperature,humidity,and rainfall occurrence degree of FHB more accurate short-term prediction,the optimum control period.In the second stage,the collaborative scheduling model with mixed time window is designed and the corresponding improved algorithm is designed to solve the model.The main research results of this paper are as follows:First of all,the time series analysis method is used to predict the occurrence of FHB in Jiangsu province in 2021 area and 3 to study the clinical characteristic and its influencing factors,and then through the establishment of two items are polynomial stepwise regression model in mid to late April 2021 Nanjing Luhe area FHB incidence degree for short-term prediction,the optimum control period.Secondly,through the study of the characteristics of scab control and the scheduling of plant protection UAV,according to the information of the field operational time window and the pathogen infection of wheat in the field,a multi-UAV operation scheduling model with mixed time window was established.Using the improved genetic algorithm,according to the farmers the farmland homework submitted information such as time window,location,area,arrange the best route,reasonable allocation for unmanned aerial vehicle,complete plant protection work,timely,efficiently solve UAV high operation cost,low efficiency,plant protection number as well as such problems as shortage of machinist.Finally,according to the result of forecast and scheduling model,analyze the specific case,considering some practical constraints in the process of scheduling,and then use Matlab to solve,and get an UAV group of specific scheduling scheme,this scheme can not only effectively improve farmers caused by missing the optimal control time of FHB of wheat production to fail situation can also effectively reduce the cost of plant protection fly against the team,improve the efficiency of plant protection.
Keywords/Search Tags:UAV dispatching, Short-term prediction, Fusarium head blight(FHB), NSGA-Ⅱ algorithm
PDF Full Text Request
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