Evaluation of the profitability of a new precision fungicide application system for strawberry production

Vorotnikova, Ekaterina; Borisova, Tatiana; VanSickle, John J.

doi:10.1016/j.agsy.2014.06.006

Cited by 13 publications

(6 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Growers commonly utilize fungicides with protectant activity to manage late blight (Song et al, 2003), applying these fungicides on a calendar-based, weekly schedule. However, calendar-based scheduling strategies have drawbacks (Vorotnikova et al, 2014). First, if weather conditions are unfavorable for disease development, unnecessary applications are at best inefficient, wasting both chemicals and labor and entailing extra costs (Fohner et al, 1984;Fry, 1982).…”

Section: Methodsmentioning

confidence: 99%

“…Precision agriculture technology has been on the market since the 1990s, but questions remain about its profi tability and future (Griffi n and Lowenberg-DeBoer, 2005). Economic studies that assess the impacts of precision farming technologies can reveal the advantages and potential barriers to adoption, and can signifi cantly increase the adoption rate of precision farming technology (Vorotnikova et al, 2014).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Risk Management Strategies using Precision Agriculture Technology to Manage Potato Late Blight

et al. 2017

View full text Add to dashboard Cite

Precision agriculture has emerged as a revolutionary technology, which transforms farming related data into useful information for agricultural decision-making. Th is paper compares precision farming technology with calendar-based approach in scheduling fungicide applications to manage potato (Solanum tuberosum L.) late blight disease. Th ree fungicide scheduling strategies were evaluated: calendar-based strategy, BlightPro decision support system based strategy (DSS-based strategy), and unsprayed control. Using results from 14 yr of computer simulation experiments for 59 locations in the United States, we constructed distributions of net return to all costs excluding fungicide cost and application cost per 0.41 ha (net return per 0.41 ha) for the calendar-based and DSS-based strategies at each location. Th ese distributions were then compared using three risk management methods: stochastic dominance, stochastic dominance with respect to a function, and stochastic effi ciency with respect to a function. Th e DSS-based strategy was identifi ed as the most eff ective approach to manage late blight in terms of disease suppression, net return per 0.41 ha, and risk-adjusted net return. Results indicate that the DSS-based strategy is the preferred method to schedule fungicide applications. Under high disease pressure circumstances, the economic benefi ts to potato growers of adopting the precision agriculture technology ranged from US$30 to $573 per 0.41 ha. For risk neutral individuals, who are concerned about the diff erence between average net return per 0.41 ha, the benefi ts ranged from $30 to $305 per 0.41 ha. Except for growers raising the moderately resistant potato cultivars, more risk averse individuals tended to benefi t more from adopting the precision agriculture technology, with benefi ts ranging from $38 to $573 per 0.41 ha. Abbreviations: AUDPC, area under disease progress curve; CE, certainty equivalent; DSS, decision support system; FSD, fi rst-degree stochastic dominance; RP, risk premium; net return per 0.41 ha, net return to all costs excluding fungicide cost and application cost per 0.41 ha; SERF, stochastic effi ciency with respect to a function; SSD, second-degree stochastic dominance; SDRF, stochastic dominance with respect to a function. Core ideas• Th e benefi ts of adopting precision farming technology was investivated in scheduling fungicide applications to manage potato late blight.• Th e precision farming technology is the preferred method to schedule fungicide applications in terms of disease suppression, net return per 0.41 ha, and risk-adjusted net return.• Th e increased adoption of the precision farming technology would help manage late blight, limit potential crop losses, and improve net returns.

show abstract

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Risk Management Strategies using Precision Agriculture Technology to Manage Potato Late Blight

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The stochastic dominance and stochastic efficiency methods can be adapted to a wide range of individual decision making processes [19,33]. These approaches have been applied to evaluate various alternative decisions, such as beef farm insurance policies [27], contract options [34], tillage options [35], irrigation strategies [23], growing-finishing swine diets [36], cotton planting acreage [37], crop rotation and weed control methods [38], farming machinery selection [39], postharvest marketing strategies [40], policy impacts [41], and integrated pest and disease management strategies [3,14,[42][43][44][45].…”

Section: Stochastic Dominance and Stochastic Efficiencymentioning

confidence: 99%

“…This research evaluates the economic benefits of a weather-related precision agriculture technology designed for managing late blight disease in tomato and potato production. Economic studies of precision agriculture technology can reveal the advantages and potential barriers for adoption [3].…”

Section: Introductionmentioning

confidence: 99%

A Risk Analysis of Precision Agriculture Technology to Manage Tomato Late Blight

et al. 2018

View full text Add to dashboard Cite

Precision agriculture technology can transform farming related data into useful information, which may lead to more efficient usage of agricultural resources and increase sustainability. This paper compares precision agriculture technology with traditional practices in scheduling fungicide application so as to manage late blight disease in tomato production. The following three fungicide scheduling strategies were evaluated: a calendar-based strategy, the BlightPro Decision Support System based strategy (DSS-based strategy), and a strategy that does not involve fungicide application. The data from field trials and computer simulation experiments were used to construct distributions of the net return per acre for the calendar-based and the DSS-based strategies. These distributions were then compared using three standard approaches to ranking risky alternatives, namely: stochastic dominance, stochastic dominance with respect to a function, and stochastic efficiency with respect to a function. Assuming no yield differences between the calendar-based and the DSS-based strategies, the calendar-based strategy was preferred for highly late blight susceptible cultivars, and the DSS-based strategy was preferred for moderately susceptible and moderately resistant cultivars. Assuming no yield differences, the value of the BlightPro Decision Support System ranged from −$28 to $48 per acre. With the yield improvement for the DSS-based strategy included, the DSS-based strategy was preferred for the cultivars in all of the disease-resistance categories with the value ranging from $496 to $1714 per acre.

show abstract

“…Florida's humid and warm climate is favorable for fungal diseases such as Botrytis fruit rot (BFR) and anthracnose, which pose serious threats to strawberry production. SAS predicts conditions conducive for disease by using information on leaf wetness duration and average temperature during the wetness period (Vorotnikova et al, 2014). When conditions for disease development are optimal, SAS alerts producers of the need to apply fungicides.The webbased nature of the system allows strawberry farmers to subscribe to location-specific alerts (via text or e-mail messages) related to the timing and type of fungicide recommended.…”

mentioning

confidence: 99%

Economic performance and comparative riskiness of different management practices for control of botrytis fruit rot in florida strawberry

2016

View full text Add to dashboard Cite

Florida strawberry farmers usually rely on weekly calendarfungicide applications to prevent yield lossfromBotrytis fruit rot (BFR). The Strawberry Advisory System (SAS), which helps optimizethe timing of fungicide applications, is an additional tool in the farmers' arsenal of disease control options.This study uses data from two-year production trials in Floridacombined with historical strawberry prices to measure the economic performance of the Calendar and SASbased BFR management practices under output price risk and producers' risk preferences.We use Monte Carlo simulation to model the effect of the variability in weekly output prices on farm returns. Results reveal that the traditional calendar-based system is not the least riskyBFRmanagement option as growers expected to be. SAS-based options such as SAS-Switch and SAS-Luna would be preferred by both risk-neutral and risk-averse producers and are recommended under high disease pressure conditions.

show abstract

Evaluation of the profitability of a new precision fungicide application system for strawberry production

Cited by 13 publications

References 33 publications

Risk Management Strategies using Precision Agriculture Technology to Manage Potato Late Blight

Risk Management Strategies using Precision Agriculture Technology to Manage Potato Late Blight

A Risk Analysis of Precision Agriculture Technology to Manage Tomato Late Blight

Economic performance and comparative riskiness of different management practices for control of botrytis fruit rot in florida strawberry

Contact Info

Product

Resources

About