Progress 07/01/02 to 07/01/07
Outputs
Progress Report Objectives (from AD-416) To interface an insect monitoring device with risk analysis software for managing insect pests in stored grain. The Insector electronic insect trap will be interfaced with existing risk analysis software, SGA Pro. SGA Pro will continuously store trap catch data, interpret the data, and provide grain management recommendations. Approach (from AD-416) The existing risk analysis software SGA Pro, will be modified to access data that is automatically collected by the Insector electronic insect probe traps. The system will consist of an array of Insector traps inserted into the grain, and a data cable that connects the traps to a computer running the SGA Pro program. A new subroutine in SGA Pro will be written to allow it to access data received from the Insector traps. Code will also be written to predict estimated insect density in the grain, based on Insector data. Significant Activities that Support Special Target Populations This report documents research conducted under a specific cooperative agreement between ARS and Kansas State University. Additional details of research can be found in the report for the in-house associated project 5430-43000-027-00D, Ecology, sampling, and modeling of insect pests of stored grain, processing facilities, and warehouses. This project complements related in-house research by developing decision support systems for insect management in farm and elevator grain storage systems. We worked with a stored-grain temperature monitoring company (OPI systems) to utilize a new electronic probe trap (Insector) that automatically counts insects in stored grain as they fall into the Insector probe trap. We adapted Stored Grain Advisor Pro (SGA Pro) so that it automatically collects data from the Insector database, determines which insect species have been trapped (based on size estimates from Insector), and converts the insect trap catch data into insect density (insects/kg grain). SGA Pro then makes management recommendations for each bin. We field tested OPI Insector electronic grain probes in two 1000-bushel bins for a second year, over a 6-month period. We compared estimates of insect density (insects/kg wheat) to the Insector counts. The average Insector manual tip counts and electronic counts were similar for most trapping dates. Management decisions using Insector trap-catch estimates were similar to those made using actual insect density for most of the sampling dates. For farm-stored grain, the Insector probes allowed SGA Pro to automatically monitor insects in grain bins and make accurate management recommendations. The ADODR monitored progress during the year by email correspondence with the cooperator, and by observing actual computer work conducted by the cooperator at the ARS facility.
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Progress 10/01/05 to 09/30/06
Outputs
Progress Report 4d Progress report. This report documents research conducted under a specific cooperative agreement between ARS and Kansas State University. Additional details of research can be found in the report for the in-house associated project 5430-43000-027-00D, Ecology, sampling, and modeling of insect pests of stored grain, processing facilities, and warehouses. This project complements related in-house research by developing decision support systems for insect management in farm and elevator grain storage systems. We worked with a stored-grain temperature monitoring company (OPI systems) to utilize a new electronic probe trap (Insector) that automatically counts insects in stored grain. We adapted Stored Grain Advisor Pro (SGA Pro) so that it automatically collects data from the Insector database, determines which insect species have been trapped, and converts the insect trap catch data to insect density (insects/kg grain). SGA Pro then makes management
recommendations for each bin. We field tested OPI Insector electronic grain probes in two 1000-bushel bins for a 10-month period. We compared estimates of insect density (insects/kg wheat) to the Insector counts. The average Insector manual tip counts and electronic counts were similar for most trapping dates. Management decisions using Insector trap-catch estimates were similar to those made using actual insect density for most of the sampling dates. For farm-stored grain, the Insector probes allowed SGA Pro to automatically monitor insects in grain bins and make accurate management recommendations.
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Progress 10/01/04 to 09/30/05
Outputs
4d Progress report. This report documents research conducted under a specific cooperative agreement between ARS and Kansas State University. Additional details of research can be found in the report for the in-house associated project 5430-43000-027-00D, Ecology, sampling, and modeling of insect pests of stored grain, processing facilities, and warehouses. This project complements related in-house research by developing decision support systems for insect management in farm and elevator grain storage systems. We worked with a stored-grain temperature monitoring company (OPI systems) to utilize a new electronic probe trap (Insector) that automatically counts insects in stored grain. We adapted Stored Grain Advisor (SGA) so that it automatically collects data from the OPIGMAC database, determines which insect species have been trapped, and converts the insect trap catch data to an approximate insect density (insects/kg grain). SGA then uses this data to predict future
insect population growth in the bin based on current grain temperature and moisture. Management recommendations for each bin are presented by SGA.
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Progress 10/01/03 to 09/30/04
Outputs
4. What were the most significant accomplishments this past year? This project is a specific cooperative agreement with Kansas State University. Additional details of research can be found in the report for the parent project 5430-43000-022-00D, Decision-Making Tools for Integrated Management of Stored-Product Insects. This project complements related in-house research by developing decision support systems for insect management in farm and elevator grain storage systems. The decision support software, Stored Grain Advisor Pro (SGA Pro), used in conjunction with grain sampling for insects in commercial grain elevators reduces unnecessary fumigations in bins with zero or very low insect populations. It also ensures that grain that needs to be fumigated is treated promptly. In collaboration with OPI systems (a company that makes environmental monitoring equipment for farm and elevator grain storage), we have completed work on SGA Pro that enables it to process data from
OPI electronic grain probes. These probes are placed in the grain and automatically count insects as they fall into the trap; this data is automatically transferred into a PC that is running SGA Pro. The data is interpreted by SGA Pro so that insect counts are translated into specific insect species, which are then transformed from insects per day into insects per kg of grain. SGA Pro then makes insect pest management recommendations to the grain manager based on insect species, insect density, and current grain temperature and moisture.
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