Farm management information systems: A case study on a German multifunctional farm

Husemann, Christoph; Novković, Nebojša

doi:10.5937/ekopolj1402441h

Cited by 23 publications

(10 citation statements)

References 19 publications

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“…There is a need for a full-fledged Management Information System (MIS) exclusively for Crop management similar to FMIS (Farm Management Information Systems) [21], [22]. This includes monitoring from the primary stage to the final consumable stage and external factors like weather forecasting.…”

Section: Unified Architecturementioning

confidence: 99%

Closed loop process control for precision farming: An Agriculture 4.0 perspective

Katamreddy

Walsh

Ward

et al. 2019

2019 30th Irish Signals and Systems Conference (ISSC)

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The emergence of advanced technologies has helped in solving specific problems in agriculture. In many sectors, interoperability of new technologies has helped in solving much bigger problems on a large scale and has eventually led to widespread automation, but this automation wouldn't have been possible without openness in communication protocols. These standard protocols have evolved over time to cater to industry needs, from partial to fully automated manufacturing processes. The overall system obtained by the integration of these technologies for automated process control and management is commonly referred to as Industry 4.0. This paper discusses the protocols and technologies used in precision farming analogous to Industry 4.0. This paper also addresses the gaps to fill by exploring the technologies and standards and by proposing a unified architecture. It is hoped that addressing these gaps will help to create a solution for fully automated process control in an Agriculture 4.0 perspective and race towards more advanced Agriculture 5.0.

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Section: Unified Architecturementioning

confidence: 99%

Closed loop process control for precision farming: An Agriculture 4.0 perspective

Katamreddy

Walsh

Ward

et al. 2019

2019 30th Irish Signals and Systems Conference (ISSC)

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“…Manajemen informasi pertanian dibedakan menjadi tiga ragam, yaitu lingkungan yang kompleks, struktur pertanian yang kompleks dan penerapan teknologi (Husemann & Novković, 2014). Pemisahan infrastruktur (termasuk atributnya) dipadukan dengan GIS sebagai manajemen aset yang dipergunakan untuk mengidentifikasi struktur kritis dan menentukan prioritas perbaikan (Belt & Smith, 2014).…”

Section: Pendahuluanunclassified

Desain Sistem Manajemen Aset untuk Jaringan Irigasi Tersier

Ernanda

Andriyani

Indarto

2019

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Penelitian ini memaparkan tahap pengembangan sistem informasi untuk manajemen aset irigasi, yang diberi nama Sistem Informasi Management Asset Irigasi-Jaringan Tersier (SIMAI-JT). SIMAI-JT dirancang secara khusus untuk dapat digunakan sebagai alat manajemen pada tingkat jaringan irigasi tersier. Tahap pengembangan SIMAI-JT mencakup desain sistem, pemrograman, dan implementasi. Tahap desain mencakup struktural dan fungsional. Program aplikasi ini didesain dan dikembangkan menggunakan aplikasi VBA di atas platform GIS. Input data ke dalam sistem adalah data spasial dalam format point, poliline dan poligon yang menggambarkan karakteristik komponen dari jaringan irigasi. Data diperoleh dari survey lapangan (menggunakan GPS dan kamera) dan digitalisasi dari peta konvensional yang ada. Selanjutnya, semua data spasial yang diperoleh dikonversi ke layer GIS. Sistem mengintegrasikan dan menampilkan semua layer dalam bentuk foto, citra satelit, dan informasi tabel. Pengujian sistem dilakukan pada HIPPA Sidomulyo, Desa Karangsono, Kecamatan Bangsalsari, di wilayah Kabupaten Jember. Hasil desain dikalibrasi berdasarkan berdasarkan kemampuan dan kebutuhan HIPPA. Hasil menunjukkan bahwa sistem informasi harus dirancang dengan (i) menampilkan peta berbasis citra satelit daerah irigasi, identifikasi dan potensi kerusakan pada jaringan irigasi tersier yang disertai dengan foto bangunan; (ii) kecerdasan buatan (artificial intelligence) dalam penentuan prioritas kerusakan; dan (iii) kinerja kelembagaan. Keluaran program dipergunakan dalam rapat anggota untuk perencanaan strategi kelembagaan dalam penanganan kerusakan jaringan irigasi tersier.

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“…Authors aim to develop an architecture for system that can be considered as decision making tool with easy and fast data entry (manual or automatic) powered by flexible and detailed reporting. There are multiple researches aimed to differentiate requirements for pig farm FMIS (Zoranović and Novković, 2013;Husemann and Novković, 2014), including functions, modules and hardware. FMIS architecture as well has it's requirements stated in multiple researches (Murakami et al, 2007;Nikkilä, Seilonen and Koskinen, 2010), that point to the need for one main centralized system, used as a hub or gateway that processes data coming from monitoring hardware.…”

Section: Introductionmentioning

confidence: 99%

Development of the Data Warehouse Architecture for Processing and Analysis of the Raw Pig Production Data

Komašilovs¹,

Kviesis²,

Zacepins³

et al. 2019

AGR

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Precision Livestock Farming (PLF) approach requires immense amount of datacollection, aggregation and processing, using various hardware and softwaresolutions, and is applied in many farms trying to achieve the most efficient andeffective way of production. Hardware and software compatible systems capable ofachieving this goal are called Farm Management Information Systems (FMIS), andare a necessity for a complete and successful implementation for PrecisionAgriculture (PA) branch approaches. However, most of commercially availableFMIS do not only focus on crop management, but also have limited availability tosmall and average sized farms, in terms of price, supported language and specificfeatures. Simpler FMIS, on the other hand, do not have necessary capabilities tofully support PLF. There are currently very small amount of high grade pig farmoriented FMIS, especially for farms with less than a hundred of sows. Therefore,there exists the need for solutions for managing farms with limited number ofsows. To help address this need, authors proposed and developed architecture forunified data warehouse (DW), which was scalable and extendable cloud based datastorage and processing system with support of individual data analysis. DW hascapabilities to data interexchange and/or be integrated in existing FMIS throughoutvariety of data-in/data-out interfaces, like UIs, unmanned data supplier orconsumer systems. The core of the DW is designed to provide data processingflexibility and versatility, whereas data flow within the core is organized betweendata vaults in a controllable and reliable way.

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Farm management information systems: A case study on a German multifunctional farm

Abstract: Accurate and easy to use Farm Management Information Systems (FMIS)

Cited by 23 publications

References 19 publications

Closed loop process control for precision farming: An Agriculture 4.0 perspective

Closed loop process control for precision farming: An Agriculture 4.0 perspective

Desain Sistem Manajemen Aset untuk Jaringan Irigasi Tersier

Development of the Data Warehouse Architecture for Processing and Analysis of the Raw Pig Production Data

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