Information System on Germplasm of Sweet Cherry

PaprÅ¡tein, F.; Zrzavý, L.

doi:10.17660/actahortic.1998.484.16

Cited by 1 publication

(1 citation statement)

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“…In the current era of open data and source code, to encourage further R&D and adoption, it is recommended that researchers make the software of such tools available through repositories such as GitHub or via a commercial release. [64] citrus CAS Disease management Gouk et al [110] apple Firework Disease management Gouk [111] apple, pear HortPlus MetWatch Disease management Lightner [112] orchard Maryblyt Disease management Ghaemi et al [113] peach, orange FrostPro Environment monitoring García et al [114] fruit PRAPPIS Financial analysis Toldam-Andersen et al [115] apple Apple Key Germplasm/cultivar/breeding Paprštein et al [116] cherry [9] orchard Irriman Irrigation management Boshuizen et al [119] orchard Irry Irrigation management Capraro et al [73] olive PISys Irrigation management Zapata et al [8] orchard Rideco Irrigation management Maul et al [120] apple, peach FruitSim Orchard (spray//fruit size/ thinning/etc.) Lakso et al [13] apple MaluSim Orchard (spray//fruit size/ thinning/etc.)…”

Section: Commercial Orchard Mismentioning

confidence: 99%

Management Information Systems for Tree Fruit—1: A Review

Dhonju,

Walsh,

Bhattarai

2024

Horticulturae

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A farm management information system (MIS) entails record keeping based on a database management system, typically using a client-server architecture, i.e., an information system, IS, coupled with a variety of tools/methods/models for the support of operational management. The current review adopts a multivocal approach to consider academic and commercial developments in MISs for orchard management, based primarily on the refereed literature but extending to grey literature and interviews of Australian mango orchard managers. Drivers for orchard MIS development include increasing the orchard size and management complexity, including regulatory requirements around labour, chemical spray use and fertilisation. The enablers include improvements in within-orchard communications, distributed (web) delivery systems using desktop and mobile devices, and sensor systems and predictive models, e.g., for pest management. Most orchard MIS-related publications target the commodities of apple, grape, mango and olive in the context of management of plant health (pest and disease), plant development, irrigation and labour management. Harvest forecast and MIS modules are only now beginning to emerge, in contrast to a long history of use in grain production. The commercial systems trend towards an incorporation of financial information, an integration of data from multiple sources and a provision of dashboards that are tailored to the user. Requirements for industry adoption of a MIS are discussed in terms of technical and design features, with a focus on usability and scalability.

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