Challenges of agricultural monitoring: integration of the Open Farm Management Information System into GEOSS and Digital Earth

Řezník, Tomáš; Kepka, Michal; Charvát, Karel; Horáková, Šárka; Lukas, Vojtěch

doi:10.1088/1755-1315/34/1/012031

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…Secondly, there seems to be no system so far that combines the interests of governments and individual farmers. There are various information systems that are not universal and are designed to support specific functions and activities [27,[38][39][40]. A comprehensive information system with the special composition of databases we propose is dedicated to serving both sustainable agricultural policy and smart farming directly, including food supply chains, arable farming, greenhouse horticulture, and livestock farming, and open-air horticulture including orchards.…”

Section: Fig 2 Idea Of Agricultural Information and Innovation Systemmentioning

confidence: 99%

Small Farms as “Data Producers” for the Needs of Agricultural Management Information System

Zysk

Mroczkowski

Dawidowicz

2022

GaEE

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In the face of current global threats, including the COVID-19 Pandemic, new technological solutions are needed. Globalization, progressing urbanization, the decreasing availability of cultivable land for food production, water contamination, flood risk and climate change, can all be viewed as potential threats to food safety. According to forecasts and trends, the future of both agricultural policy and agricultural innovation will be based on big data, data analytics and machine learning. Therefore, it is and will continue to be important to develop information systems dedicated to agricultural innovation and the management of food security challenges. The main aim of the study is a classification of data for a uniform AMIS from data from IREIS, GC and AIIS based on survey and expert interview data obtained. We propose to expand the range of data produced by small farmers while keeping in mind the protection of farmers and their rights and the possible benefits of the data provided. The literature recognizes the value of such data but it has not yet been legally regulated, protected, managed and, above all, properly used for agricultural and food security policy purposes. Therefore, we develop the idea of extended farmers’ participation in the production of agricultural activity data. The research used a survey questionnaire and expert interviews. A viable AIIS needs current data that farmers already produce as well as additional data needs which we identify in our research. We propose an architecture of databases and describe their flow in the Agriculture Management Information System (AMIS).

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Section: Fig 2 Idea Of Agricultural Information and Innovation Systemmentioning

confidence: 99%

Small Farms as “Data Producers” for the Needs of Agricultural Management Information System

Zysk

Mroczkowski

Dawidowicz

2022

GaEE

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“…Menurut Ali dan Beg, manusia akan mencari informasi yang dia butuhkan melalui web [9]. Pada masa mendatang, sistem informasi manajemen pertanian harus mendukung kelompok -kelompok dan individu [10].…”

Section: Kajian Literatur 21 Sistem Informasi Manajemenunclassified

Perancangan Sistem Informasi Manajemen Bertanam Sayur Berbasis Web

Setiyadi¹

2019

CBIS

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Tujuan dari penelitian ini adalah untuk merancang sistem informasi manajemen bertanam sayur berbasis web. Pada penelitian ini, penulis menggunakan metode penelitian dalam bentuk metode deskriptif yang menggambarkan masalah yang terjadi di lapangan sebagaimana adanya. Dalam pengumpulan data, penulis melakukan penelitian lapangan dengan observasi dan wawancara, sedangkan dalam pengembangan sistem penulis menggunakan metode life cycle. Hasil dari penelitian ini menunjukan bahwa perlunya sebuah sistem informasi yang menyajikan cara-cara yang baik dan benar untuk menanam sayuran. Kemudian penulis merancang sistem informasi manajemen menanam sayuran berbasis web, sistem ini setiap hari akan memberikan informasi tentang apa yang harus dilakukan dengan tanaman sayuran dari bibit hingga panen. Tidak berguna bagi petani sayuran saja, sistem ini juga berguna bagi orang yang tidak tahu cara menanam sayuran yang baik dan benar. Dengan demikian, produk sayuran di Indonesia bisa meningkat.

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“…For instance, the application of a pesticide in an inappropriate amount and/or at an inappropriate location (typically beyond the plot) generates an automatic alert to registered users of the MapLogAgri system. More information on agricultural machinery fleet monitoring is provided by [21]. In this research, a total of 9 tractors and 23 machines have been monitored continuously since March 2015.…”

Section: Farm Machinery Telemetrymentioning

confidence: 99%

Disaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing

Řezník

Lukas

Charvát

et al. 2017

IJGI

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Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals. Precision farming can reduce the environmental burden by employing site specific crop management practices which implement advanced geospatial technologies for respecting soil heterogeneity. The objectives of this paper are to present the frontier approaches of geospatial (Big) data processing based on satellite and sensor data which both aim at the prevention and mitigation phases of disaster risk reduction in agriculture. Three techniques are presented in order to demonstrate the possibilities of geospatial (Big) data collection in agriculture: (1) farm machinery telemetry for providing data about machinery operations on fields through the developed MapLogAgri application; (2) agrometeorological observation in the form of a wireless sensor network together with the SensLog solution for storing, analysing, and publishing sensor data; and (3) remote sensing for monitoring field spatial variability and crop status by means of freely-available high resolution satellite imagery. The benefits of re-using the techniques in disaster risk reduction processes are discussed. The conducted tests demonstrated the transferability of agricultural techniques to crisis/emergency management domains.

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Challenges of agricultural monitoring: integration of the Open Farm Management Information System into GEOSS and Digital Earth

Cited by 4 publications

References 5 publications

Small Farms as “Data Producers” for the Needs of Agricultural Management Information System

Small Farms as “Data Producers” for the Needs of Agricultural Management Information System

Perancangan Sistem Informasi Manajemen Bertanam Sayur Berbasis Web

Disaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing

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