@article{perry_1998, title={Basics of frost and freeze protection for horticultural crops}, volume={8}, DOI={10.21273/horttech.8.1.10}, abstractNote={Basic meteorology as it applies to frost-freeze events and a discussion of the methods of frost protection are included in this article. The presentation of basic meteorology includes descriptions of heat transfer, energy exchange, inversion, frost, freeze, microclimate, air versus crop temperature, and forecasts and warnings in the context of how each of these in involved in frost-freeze events. The second part of the paper describes the major methods of frost protection for commercial crops. The methods included are site selection, irrigation (overhead, undercanopy, man-made fog, flooding), wind machines, heaters, covers, and sprayable materials.}, number={1}, journal={HortTechnology}, author={Perry, K. B.}, year={1998}, pages={10} }
 @inproceedings{ristaino_perry_1997, title={Advances in temperature predictive models for soil solarization}, number={1997}, booktitle={Soil solarization and integrated management of soilborne pests: Proceedings of the Second International Conference on Soil Solarization and Integrated Management of Soilborne Pests, Aleppo, Syrian Arab Republic, 16-21 March 1997}, publisher={Rome: Food and Agriculture Organization of the United}, author={Ristaino, J. B. and Perry, K.}, editor={J. J. Stapleton, J. E. DeVay and Elmore, C. L.Editors}, year={1997} }
 @article{perry_wu_sanders_garrett_decoteau_nagata_dufault_batal_granberry_mclaurin_1997, title={Heat units to predict tomato harvest in the southeast USA}, volume={84}, ISSN={["0168-1923"]}, DOI={10.1016/S0168-1923(96)02361-1}, abstractNote={Abstract Planting and first harvest dates of tomato ( Lycopersicon esculentum Mill.) from 2 seasons in 3 years at eight locations in Georgia, North Carolina and South Carolina formed 38 environments which were used to determine the most reliable method to predict fast harvest date of tomato based on daily maximum and minimum air temperature. Eleven methods of calculating heat units were chosen for comparison based on their performance as described in the literature. The most reliable method was defined as the one with the smallest coefficient of variation (CV). CVs were calculated for each method over both seasons and locations, for each season over all locations, each location over all seasons, and for each season at each location. All heat unit summation methods had smaller coefficients of variation (CV) than the standard method of counting days from planting to first harvest. Heat unit summation methods improved harvest date prediction accuracy compared with the counting day method for tomatoes in the South Atlantic Coast (SAC) region. Prediction using location/season specific models were less variable than the models over all seasons and locations. Incorporating daylength improved model prediction accuracy when applied over all locations and seasons, all locations by season, and all seasons by location. Based on the results of this study, the heat unit summation technique recommended for this region (where the location and season specific models are not available) is the reduced ceiling method multiplied by daylength.}, number={3-4}, journal={AGRICULTURAL AND FOREST METEOROLOGY}, author={Perry, KB and Wu, YH and Sanders, DC and Garrett, JT and Decoteau, DR and Nagata, RT and Dufault, RJ and Batal, KD and Granberry, DM and Mclaurin, WJ}, year={1997}, month={Apr}, pages={249–254} }
 @article{perry_wehner_1996, title={A Heat Unit Accumulation Method for Predicting Cucumber Harvest Date}, volume={1}, ISSN={1063-0198 1943-7714}, url={http://dx.doi.org/10.21273/horttech.6.1.27}, DOI={10.21273/horttech.6.1.27}, abstractNote={The use of a previously developed model for predicting harvest date in cucumber production systems is described. In previous research we developed a new method using daily maximum temperatures in heat units to predict cucumber harvest dates. This method sums, from planting to harvest, the daily maximum minus a base temperature of 60F (15.5 C), but if the maximum is >90F (32C) it is replaced by 90F minus the difference between the maximum and 90F. This method was more accurate than counting days to harvest in predicting cucumber harvest in North Carolina, even when harvest was predicted using 5 years of experience for a particular location and planting date.}, number={1}, journal={HortTechnology}, publisher={American Society for Horticultural Science}, author={Perry, Katharine B. and Wehner, Todd C.}, year={1996}, month={Jan}, pages={27–30} }
 @article{perry_1994, title={CURRENT AND FUTURE AGRICULTURAL METEOROLOGY AND CLIMATOLOGY EDUCATION NEEDS OF THE UNITED-STATES EXTENSION SERVICE}, volume={69}, ISSN={["0168-1923"]}, DOI={10.1016/0168-1923(94)90078-7}, abstractNote={A national system of extension programming that meets the basic meteorology needs of all agriculture with additional regional programming for particular crops is needed. Such a national system could be developed to optimize the capabilities of Federal and State agencies, and private sector entities. The United States Department of Agriculture (USDA) and State Cooperative Extension Services should be lead agencies in this system by designating agricultural meteorology as a programming area and providing leadership for state programs. The agricultural industry needs educational programs to improve the use of existing meteorological information and to prepare to use new information and technologies as they become available. Many agricultural producers and related agribusiness managers lack a complete understanding of the data analyses and forecast products that are now available. They do not know how to access these products or how to apply them in their management systems. Agricultural producers need to learn how to use weather-driven models as a component in their daily decision making. Extension personnel should work cooperatively with research counterparts and private sector agricultural meteorologists to improve linkages that bring agricultural weather information to the agribusiness community.}, number={1-2}, journal={AGRICULTURAL AND FOREST METEOROLOGY}, author={PERRY, KB}, year={1994}, month={Jun}, pages={33–38} }
 @article{perry_sanders_granberry_garrett_decoteau_nagata_dufault_batal_mclaurin_1993, title={HEAT UNITS, SOLAR-RADIATION AND DAYLENGTH AS PEPPER HARVEST PREDICTORS}, volume={65}, ISSN={["0168-1923"]}, DOI={10.1016/0168-1923(93)90004-2}, abstractNote={Daily maximum and minimum air temperature, total solar radiation and daylength data from seven locations during three seasons of 3 years were used to compare 52 heat unit accumulation models with counting days as a harvest prediction method for pepper. The best model was defined as the one with the least variation, i.e. smallest coefficient of variation (CV). CV's were calculated for each method over all seasons and locations, for each method over all locations for each season, and for each method in each season at each location. In all cases heat unit accumulation methods were better than counting days. The location and season specific model was the most accurate, but the analysis over all seasons and locations did result in smaller CV's than counting days, so improved harvest prediction can be achieved by using regionally developed models.}, number={3-4}, journal={AGRICULTURAL AND FOREST METEOROLOGY}, author={PERRY, KB and SANDERS, DC and GRANBERRY, DM and GARRETT, JT and DECOTEAU, DR and NAGATA, RT and DUFAULT, RJ and BATAL, KD and MCLAURIN, WJ}, year={1993}, month={Aug}, pages={197–205} }
 @article{perry_bonanno_monks_1992, title={2 PUTATIVE CRYOPROTECTANTS DO NOT PROVIDE FROST AND FREEZE PROTECTION IN TOMATO AND PEPPER}, volume={27}, ISSN={["0018-5345"]}, DOI={10.21273/hortsci.27.1.26}, abstractNote={A commercially available cryoprotectant (50% propylene block copolymer of polyoxyethylene, 50% propylene glycol; trade name FrostFree) and an antitranspirant (96% di-1-p-menthene, i.e., pinolene, a terpenic polymer, 4% inert; trade name Vapor Gard) were evaluated for their ability to protect `Pik Red' tomato (Lycopersicon esculentum Mill.) and `Keystone Resistant Giant #3' pepper (Capsicum annuum L.) plants during frost and freeze occurrences in the field. Tests were conducted during four spring and two fall seasons. Protection from these products was not observed under field conditions when minimum air temperature reached -3.5C and -l.0C on separate occasions. Yields for treated and untreated plants were similar. Neither cryoprotectant injured the foliage in the absence of cold events.}, number={1}, journal={HORTSCIENCE}, author={PERRY, KB and BONANNO, AR and MONKS, DW}, year={1992}, month={Jan}, pages={26–27} }
 @article{perry_wehner_1990, title={Prediction of cucumber harvest date using a heat unit model}, volume={25}, number={4}, journal={HortScience}, author={Perry, K. B. and Wehner, T. C.}, year={1990}, pages={405} }
 @article{perry_blankenship_unrath_1987, title={PREDICTING HARVEST DATE OF DELICIOUS AND GOLDEN DELICIOUS APPLES USING HEAT UNIT ACCUMULATIONS}, volume={39}, ISSN={["0168-1923"]}, DOI={10.1016/0168-1923(87)90018-9}, abstractNote={Ten methods of calculating heat units for 30-, 40-, 50- and 60-day postbloom periods were applied to air temperatures observed for four years (1980–1984) in ‘Golden Delicious’ and ‘Delicious’ apple orchards in four production areas of the southeast U.S.A. The heat unit sums were correlated with the number of days from full bloom to objectively determined harvest dates to determine the method which provided the greatest significance probability for the correlation coefficient. No one method emerged superior. The resulting regression equations were then applied to data from the 1985 season not used in the development of the prediction equations. Heat unit accumulation equations predicted harvest within 1.0 day for ‘Delicious’ and 8.25 days for ‘Golden Delicious’.}, number={1}, journal={AGRICULTURAL AND FOREST METEOROLOGY}, author={PERRY, KB and BLANKENSHIP, SM and UNRATH, CR}, year={1987}, month={Jan}, pages={81–88} }
 @article{perry_wehner_johnson_1986, title={Comparison of 14 methods to determine heat unit requirements for cucumber harvest}, volume={21}, number={3}, journal={HortScience}, author={Perry, K. B. and Wehner, T. C. and Johnson, G. L.}, year={1986}, pages={419} }
 @article{perry_1986, title={FROSTPRO, a model of overhead irrigation rates for frost/freeze protection of apple orchards}, volume={21}, number={4}, journal={HortScience}, author={Perry, K. B.}, year={1986}, pages={1060} }
 @article{perry_poling_1986, title={Field observation of frost injury in strawberry buds and blossoms}, volume={5}, journal={Advances in Strawberry Production}, author={Perry, K. B. and Poling, E. B.}, year={1986}, pages={31} }
 @article{perry_sanders_1986, title={Tomato yield as influenced by plant protection systems}, volume={21}, number={2}, journal={HortScience}, author={Perry, K. B. and Sanders, D. C.}, year={1986}, pages={238} }
 @article{perry_morrow_jarrett_martsolf_1982, title={Evaluation of sprinkler application rate models used in frost protection}, volume={17}, number={6}, journal={HortScience}, author={Perry, K. B. and Morrow, C. T. and Jarrett, A. R. and Martsolf, J. D.}, year={1982}, pages={884} }