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information. Because retail stores that sell pesticides are an important source of information for the homeowner, many store employees are asked to make pest management recommendations. A previous survey in Illinois found that only 34% of retail stores

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environment in southern Florida averages ≈63 inches. A relatively recent groundwater quality survey of six public supply wells in the agricultural area of Miami–Dade County found few samples with elevated nitrate levels but detected 15 different pesticides at

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available in September (listed above) helped to further reduce the number to 13 total. Cultural recommendations were set for field production so challenges here included mix composition, fertilizer requirements, pesticides vs. biological controls vs

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agricultural acres, respectively. These watersheds are considered impaired by agricultural contaminants such as nutrients, salts, and pesticides ( U.S. Environmental Protection Agency, 2013 ). In 1967, California formed the State Water Resources Control Board

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maintenance practices of mowing, irrigating, fertilizing, and applying pesticides must be completed to determine net C sequestration rates ( Bandaranayake et al., 2003 ; Pickett et al., 2008 ; Pouyat et al., 2006 ). In general, fertilizer and irrigation

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Abstract

Most pesticide recommendations for apple orchards have been based on a specified rate per hectare. These recommendations are based on dilute applications of materials in 3740 liters·ha−1 (400 gallons/acre) to trees in a “standard” orchard, which are about 6.1 m (20 ft) high, 7.0 m (23 ft) wide, and 10.7 m (35 ft) between rows (3, 6). Most orchards today do not conform to this standard, and many pesticides are applied at concentrations other than dilute.

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vigor, flower production, and longevity on roses grown in Florida’s soils ( Manners, 1999 ). However, own-root plants were used in this study so that cultivars that proved worthy of recommendation could be easily propagated by the nursery industry. Roses

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Many pesticide labels contain rate recommendations in units that are not readily pertinent to container nursery production situations.

A program is presented, in the RPN programming language, for the conversion of pesticide rate terms from lb per ft2 to grams per container: f LBL A, RCL 2, ENTER, 1, 4, 4, X, STO 5, RCL 3, ENTER, 2, ENTER, g X2, f, X, STO 4, RCL 1, 4, 5, 3, ·, 9, X, STO 9, RCL 9, ENTER, RCL 9, ENTER, RCL 4, X, RCL 5,, g RTN.

Use of this program allows precise conversions of agricultural chemical application rates for container grown horticultural crops.

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Cranberry Crop Manager is a predictive software package for commercial cranberry growers. The package consists of linked modules. Predictive models for insect, disease, and weed development are the most important features. With appropriate weather and scouting information the models will make control or no control recommendations. To support the predictive models the program will maintain weather records of air temperatures, evapotranspiration, irrigation, and rainfall. Data can be imported or entered by hand. The program will maintain bed records including pesticide applicators, pesticide and fertilizer applications, and scouting reports. Output options include screen or printed reports or data export. An electronic encyclopedia of cranberry disease, insect and weed pests on CD will accompany the package. Minimum computer requirements are 486 CPU, 6 MB RAM, 6 MB hard drive space.

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Apple orchards are highly diversified and complex ecological and economic systems. Production is affected by a wide range of insects, diseases, weeds, and mammalian pests. The incidence of these pests is often dependant upon climatological effects; and the microclimate within orchards. An expert system, a form of artificial intelligence, has been developed and commercially released to apple growers that utilizes weather data to make recommendations regarding production decisions. Users of the system are instructed on how to establish a weather station, and to collect, and input weather data from the farm. The information is utilized to calculate disease infection periods and pesticide residues to arrive at a control recommendation. Other weather dependant modules include the scheduling of trickle irrigation as well as water application rates during a frost. An interactive demonstration of the system will be presented to the group.

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