Agricultural Information System Research Articles

Studi Kelayakan Usaha dan Sistem Informasi Agribisnis Desa Arca Kecamatan Sukamakmur

The purpose of this study is to understand how business viability and agricultural businessinformation systems can optimize business operations in the flower industry. This researchinvolves descriptive analysis and discusses the appropriate steps in managing farmers' financialmanagement to improve well-being. This review also describes the relationship betweenbusiness viability, agricultural business information systems, and other factors influencing thesuccess of the flower business. By comprehending their roles comprehensively, stakeholderscan implement more effective strategies to optimize the flower business

Social network analysis approach to identify agricultural key communicators

Aim: This paper employed Social Network Analysis approach to visualize and calculate different social network metrics. It identifies key communicators who play pivotal roles in information flow. Methodology: Research was conducted at Jammulapalem and Perali villages of Bapatla district, Andhra Pradesh, India, during 2022-23 using an exploratory research design. A total of 120 farmers Eigen vector were selected using simple random technique, and data was collected using a well-developed interview schedule. Network metrics such as Degree centrality, betweenness centrality, and eigen vector centrality were computed to evaluate the network structure using R software (version 4.3.1). R packages, namely igraph, statnet and network D3, were used for network creation, analysis and visualization to identify the influential nodes. Results: The study revealed a complex web of relationships among various stakeholders within the agricultural network through a network graph, identifying key communicators with the highest Degree centrality. Interpretation: The focal points identified through Social Network Analysis represent a specific demographic and socio-economic group, typically aged between 35 and 55, primarily medium-scale farmers,with landholdings spanning 10 to 25 acres and high annual income, with educational backgrounds ranging from high school to pre-university college, and wield significant influence within their local communities. They require sensitization, training, practical demonstrations, and personalized support to effectively disseminate agricultural information. Key words: Agricultural Information System Network, Centrality measures, Information Sources, Key Communicators, Network visualization, Social Network Analysis

WITHDRAWN: A smart agriculture information system delivering research data for adoption by the Australian grains industry

Online Farm Trials (OFT) is a bespoke online information system providing current and historical grains trials research data and information in Australia. It represents a technology that supports smart agriculture by enabling discoveries in the data. Its impact on users has been established, supporting industry knowledge and decision making and leading to improved work practices. The aim of this research is to identify the contribution of OFT, as a tool that supports smart agriculture, and to explore current adoption, barriers and the opportunities for expansion of the system in the Australian grains industry, as perceived by industry experts. In-depth, semi-structured interviews were conducted with leaders and innovators from the agriculture industry (N = 16). Thematic analysis of the qualitative data reveals widespread value of OFT as an important resource for accessing industry-dedicated, current and historical research trials data. Barriers to adoption were identified which included incomplete data, and a lack of industry-wide awareness. Opportunities to consolidate and expand the data, together with improved industry awareness, are essential to improving industry-wide adoption. Key learnings were identified in the research that has benefit for the industry, and consideration for the adoption of technology in smart agriculture. This includes functionality, audience, completeness of information/data, consideration of new technologies and the promotion of the system supported by real world examples to encourage industry adoption. Recommendations to support the design and development of digital platforms in agriculture, in the future, are also offered.

A Study on Profile Characteristics of Stakeholders of Rythu Bharosa Kendras (RBKs)

In this modern era, farmers encounter difficulties in receiving timely services from extension agents. So, technological advancement in quality of services, speed in deliverables and precision actions are possible by creating proper interface between farmers, scientists, extension officers, service providers etc. and by bringing innovation/sustainable interventions in agriculture and allied sector. With this context as a new extension reform, Government of Andhra Pradesh has launched Rythu Bharosa Kendras. The study was carried out in Srikakulam, Prakasam and Chittoor districts of Andhra Pradesh. A total of 409 stakeholders were selected, among them 361 were farmers and 12 were scientis, 24 MAOs/DAOs, 12VAAs were selected for the study. The objective of the study was to know the profile of stakeholders of RBKs. The results of the study showed that majority of the farmers had medium extension contact (41.83%), medium mass media exposure (39.33%), medium innovativeness (42.66%), medium training undergone (38.23%), medium digital literacy (45.43%), medium possession of digital tools (44.88%), medium frequency of use of digital tools (44.32%), medium perception on RBKs(43.77% ), medium information sharing behaviour (45.16%). In case of stakeholders most of them had high mass media exposure (45.63%), medium innovatveness (64.58%), medium training undergone (72.92%),high digital literacy (50.00%),medium possession of digital tools (45.83%),high frequency of use of digital tools (50.00%), medium perception on RBKs (52.08%) and medium information sharing behaviour (56.25%) and the chi-square were done to know the siginificance difference. From the above results it is clear that most of the farmers were belonged to medium to high level so there is a need to enhance their knowledge and use of digital technologies which helps to provide better connections and communication among these farmers to get up-to-date information with the latest agricultural practices and innovations. Regarding stakeholders most of them belonged to medium to high level because it enables them to access and disseminate information more effectively by using digital tools and also helps in bridging the information gap. This dual approach will facilitate a more integrated and efficient agricultural information system, ultimately benefiting the entire agricultural community.

Forming of the system of primary documents services in agriculture in Soviet Lithuania

The article is devoted to the results of the analysis of expert evaluation of the databases that are received in our republic. These databases differ according to their value for the specialists of agriculture. The general contents of these databases do not coincide with the requirements of those specialists, but it is possible to use special themes in the agricultural information systems. The article shows the main list of referred publications. The publications that are received by libraries are identified as well. Some of them are working with the aid of IBM. It is possible to show the percentage of the publications received in our republic that are included in the databases of VNIITEISM.

The analysis of information needs in agriculture

The article is devoted to the groups of information users in agriculture and to the structure of their information needs. The methods of their analysis are discussed. The data and the results of a questionnaire survey conducted at different levels of the agricultural information system in Lithuania are presented. The aim of this survey was to find out how data from mechanical information carriers are used. Statistical material is analyzed according to the main groups of agricultural specialists: scientists and producers. The received results enable the following statement: agricultural specialists are not satisfied with traditional information methods; however, they do not fully utilize new types of information due to unsatisfactory promotion, a shortage of technical devices, and a lack of knowledge in the information field.

Knowledge and access to agriculture information systems (AIS) in modern society: Bridging the gap for sustainable development

Knowledge and access to agriculture information systems (AIS) in modern society: Bridging the gap for sustainable development

Perbandingan Ekspor Kopi Indonesia Pada Tahun 2021 Dan 2022

This study aims to gain a deeper understanding of the comparison of the amount of capacity (kg) of Indonesian coffee exports between 2021 and Indonesian coffee exports in 2022. The data used in this study were gathered through library research, which allowed us to collect data from literature related to the object of our research, such as documents or archives containing data on coffee production, coffee plantation area, total capacity (kg) of Indonesian coffee exports, and the behavior of Indonesian coffee prices. The data sources were kindly provided by the Central Bureau of Statistics (BPS) and the Center for Agricultural Data and Information Systems of the Secretariat General, Ministry of Agriculture. In this research, we employed two data analysis techniques: the Shapiro-Wilk normality test and the Wilcoxon test. The results of these tests indicate a comparison between Indonesian coffee exports in 2021 and 2022. This comparison is characterized by a decrease and also an increase in mean rank and sum of rank.

Metadata of articles in the field of agriculture: complications in translating from Russian into English

The international information exchange opportunities including those in the field of agriculture have expanded due to the computer technology development. The metadata of domestic articles on agricultural themes are beginning to be translated into English. The Central Scientific Agricultural Library (CSAL) is directly related to the dissemination of agricultural information, including in English, as it prepares metadata of articles published in some Russian agricultural journals for indexation in the international agricultural information system AGRIS. Quality of these metadata translations from Russian into English has been analyzed. Data available in printed and / or electronic versions of some scientific agricultural publications collected by the Central Scientific Agricultural Library were involved. Typical shortcomings made by Russian-writing translators have been identified. This is excessive adherence to the original sentences; translation of individual words but not the total meaning; insufficient consideration of sectoral specifics during vocabulary choosing. The reasons for the appearance of these shortcomings are analyzed. Based on the generalization of the experience accumulated at the Central Scientific Agricultural Library in creating and editing such metadata, recommendations have been composed to improve the translation quality of titles and abstracts referring to agricultural articles. The nuances of using some terms, as well as working with abbreviations, names of organizations, and article titles are described. Editors are recommended to pay more attention to the compilation of English metadata and build the system of work in this direction.

Digital Agriculture using advanced ICT and Agricultural Information Systems- The general and financial aspects in Indian Context

"Agricultural Informatics is a modern and interdisciplinary field of practice and study. It has incorporated from the information technologies, basic technologies and various aspects of agriculture, and horticulture. Agricultural Informatics sometimes refereed as ICT in Agriculture, Agricultural Information Systems, Agro Information Technology, etc, It is dedicated in transforming agriculture sector supported by information driven systems which are supported by ICT). Agro Informatics is responsible in delivering as well as accessing information. The applications in Agro Informatics in agriculture enhancing agriculture production, nationally and internationally and as a result new practicing concepts been developed called Digital Agriculture and Smart Agriculture. In addition to basic Information Technologies Agricultural Informatics is also supported by different other emerging sub components such as Big Data, Data Analytics, Cloud and Virtualization, Internet of Things, Wireless network with Converged Network, Usability and HCI, UXD, Sensor and Multimedia Systems. Different economical and financial issues are alarming and growing internationally in respect of Agriculture and environment. A proper Agro Informatics practices can lead the development a healthy and sophisticated agricultural systems, and proper applications helps in reaching the status of Digital Agriculture and Smart Farming supported by government, administration, universities, agricultural institutes and associations. This paper highlights the basics of Agro Informatics and Financial aspects related to the Smart Agriculture in Indian context. As a review based work existing works complied and reported here."

Kurdistan Rural Information System Platform, as a New Rural Innovation Paradigm: Local Decision-Makers Perspective

Background: This study aimed to achieve objectives through SWOT analysis and focus group discussion, identifying internal and external factors through the local decision-makers in Kurdistan Region, to explore the way to describe and analyze Kurdistan Rural information System Platform (KRISP). Problems with information in rural areas still exist in the Kurdistan region administration. The aim of this study is an attempt to develop a digital platform that will help rural communities realize their full potential and contribute to a resilient and successful digital future. The primary objectives of this project are how to design and implement an agricultural information system to collect rural data from various areas by various farmers and make it available online so that future users may eventually search for and obtain the essential data. The first category is concerned with knowledge sharing, information exchange, self-improvement, and self-improvement for grassroots extension practitioners. The study made use of qualitative data, with fixed questions. for the analysis. The achievement of primary data was also collected using a FGD’s implemented in Sulaimani governorates. The period of data collection from different study areas starting from June 2023 to September 2023 and were used in this study to collect qualitative data from a variety of government sectors (decision-makers) from various organizations were included in group discussions and gatherings to address the issues highlighted in this study.

Rancang Bangun Sistem Informasi Penyewaan dan Rekomendasi Lahan Pertanian Menggunakan Metode KNN

Agriculture plays a crucial role in the economy of Indonesia, particularly in Kampar Regency, Riau Province. The agricultural, forestry, and fisheries sectors serve as the backbone in forming the Gross Regional Domestic Product (GRDP), making a significant contribution to the national economy. However, farmers in Karya Indah Village face challenges in finding and renting agricultural land that meets their needs. To address this challenge, the development of a web-based agricultural land rental information system is essential. This research aims to design a web-based information system using the K-Nearest Neighbor (KNN) algorithm to provide recommendations for agricultural land suitable for farmers' needs. This system facilitates farmers in finding and renting suitable agricultural land, while landowners can efficiently offer their land for rent. The research not only aims to improve efficiency in the process of renting agricultural land but also to enhance agricultural productivity and farmers' income. The research findings indicate that the KNN method can provide accurate recommendations for agricultural land, thus helping to improve farmers' welfare and the overall sustainability of the agricultural sector. The research findings show that the KNN method can recommend agricultural land with an accuracy rate of 80%.

Farmers’ adoption and effects of three aspects of agricultural information systems in emerging economies: microanalysis of household surveys

Agricultural information systems have the potential to provide various benefits to users, especially farmers. However, it remains uncertain whether the three dimensions of agricultural information systems—system quality, information quality, and service quality—can contribute to farmers’ perceived usefulness and perceived ease of use, thus influencing their intention to adopt these systems. We have developed a research framework that combines the Technology Acceptance Model and the Delone and McLean IS Success Model to elucidate the factors shaping farmers’ adoption of agricultural information systems in Vietnam. Field survey data were collected from a sample of 570 farmers in four midlands and mountainous provinces of northern Vietnam. Structural equation modelling was employed for the analysis. The results indicate that the three aspects of agricultural information systems directly enhance farmers’ adoption intentions, or they have a positive correlation with perceived usefulness and perceived ease of use, indirectly promoting such adoption intentions. The findings of this study underscore the importance for system developers and policymakers to prioritize the creation of reliable and user-friendly agricultural information systems that can address emerging issues during farmers’ use, thereby supporting their adoption.

Food security, the agriculture value chain, and digital transformation: The case of Jamaica's agricultural business information system (ABIS)

Digital transformation has potential for improving food security through agriculture development. While these transformations are welcomed and while societies are generally moving towards modernization and digitalization, farmers in the Global South have not been transitioning into the age of digitalization, and so are unable to take full advantage in ways that can enhance the agro value chain. Considering this, what may account for the sub-optimal take up from digital transformation deployment in agriculture sector in a small island developing state? Has there been any successes to the agriculture value-chain? What are the lessons to be learned? While the systems are available and farmers may have an interest in using them, their lack of ability to maneuver these new technologies leads to non-take up/use of the new beneficial technologies. A general distrust in government further compounded by a general distrust in the use of the internet has polarized farmers from digital technologies. The sluggish operations of governments of the South have inhibited the innovation that is required to enhance take up of digital technologies in agriculture. Privatization of digitalization in agriculture is therefore proffered as an alternative to a state-owned and state-operated digital transformation of agriculture. A policy options framework is proposed as a starting point to mitigating some of the challenges faced and improving digital transformation efforts in agriculture.

Dynamics of cereal product price transmission between markets in Burkina Faso

PurposeEffective agricultural product price regulation policies depend on market integration and the degree of symmetry in the transmission of agricultural product price signals. This study analyzes the transmission and asymmetry of the price series between the Ouagadougou consumer market and assembly markets considering three primary cereal products in Burkina Faso.Design/methodology/approachThis study applies the nonlinear autoregressive distributed lag (NARDL) econometric model, which is an asymmetric extension of the ARDL cointegration model. The price series examined covers the period extending from January 2005 to December 2020.FindingsOur analysis provides novel insights regarding short- and long-term asymmetric effects in the transmission of price signals between assembly markets and the consumer market. We also determine that the effects of negative shocks are more persistent than those of positive shocks in several markets.Research limitations/implicationsFor markets that exhibit symmetrical responses of assembly market prices to consumer market prices, the results could reflect the continuous efforts of market players, particularly the government, to eliminate market failures and ensure the long-term efficiency of cereal markets. To this end, an agricultural market information system can have a crucial role in easing information access for all market players.Originality/valueThis study provides new evidence regarding the nature of the transmission and asymmetry of price information on primary cereal products in the largest markets in Burkina Faso. Applying the NARDL model makes it possible to simultaneously estimate short- and long-term asymmetry.

An Integrated IoT Sensor-Camera System toward Leveraging Edge Computing for Smart Greenhouse Mushroom Cultivation

Industrial greenhouse mushroom cultivation is currently promising, due to the nutritious and commercial mushroom benefits and its convenience in adapting smart agriculture technologies. Traditional Device-Cloud protocol in smart agriculture wastes network resources when big data from Internet of Things (IoT) devices are directly transmitted to the cloud server without processing, delaying network connection and increasing costs. Edge computing has emerged to bridge these gaps by shifting partial data storage and computation capability from the cloud server to edge devices. However, selecting which tasks can be applied in edge computing depends on user-specific demands, suggesting the necessity to design a suitable Smart Agriculture Information System (SAIS) architecture for single-crop requirements. This study aims to design and implement a cost-saving multilayered SAIS architecture customized for smart greenhouse mushroom cultivation toward leveraging edge computing. A three-layer SAIS adopting the Device-Edge-Cloud protocol, which enables the integration of key environmental parameter data collected from the IoT sensor and RGB images collected from the camera, was tested in this research. Implementation of this designed SAIS architecture with typical examples of mushroom cultivation indicated that low-cost data pre-processing procedures including small-data storage, temporal resampling-based data reduction, and lightweight artificial intelligence (AI)-based data quality control (for anomalous environmental conditions detection) together with real-time AI model deployment (for mushroom detection) are compatible with edge computing. Integrating the Edge Layer as the center of the traditional protocol can significantly save network resources and operational costs by reducing unnecessary data sent from the device to the cloud, while keeping sufficient information.

Mitigating land fire disasters: Implementation of agricultural land fire risk management information system in Aunupe Village, South Konawe Regency

Climate change, which causes increased temperatures, prolonged droughts, and dry conditions, heightens the risk of land fires. A similar scenario unfolded in Aunupe Village, where several fires occurred on agricultural land over the past three years, resulting in crop failure and degraded soil quality, leading to financial losses for land-owning farmers. To mitigate the risk of land fire disasters, an agricultural land fire disaster risk management information system is necessary in Aunupe Village, South Konawe Regency. The objective of this community-based empowerment program is to mitigate the risk of land fire disasters. To achieve the desired outcomes, initial coordination with farmer group partners is conducted, followed by the design and installation of fire sensor equipment sets in collaboration with farmer groups. Furthermore, focus group discussions (FGD) are conducted with farmer group partners to ensure their understanding and cooperation. The activities result in the development of an agricultural land fire risk management information system, facilitating the prompt detection, monitoring, and response to fire incidents in the agricultural land of the Lembah Harapan Farmers Group. Additionally, farmer group partners acquire knowledge regarding the utilization of fire mitigation systems.

Information Communication and Computation Technologies (ICCT) for Agricultural and Environmental Information Systems for Society 5.0

Purpose: This paper aims to discover the dynamic landscape of Information Communication and Computation Technologies (ICCT) within agriculture and environmental information management, elucidating their evolutionary trajectory and the resonance of Society 5.0 principles in fostering innovative solutions. By scrutinizing the core technologies constituting ICCT in these sectors, it endeavours to shed light on the potential for integration within the framework of Society 5.0, contemplating both the possibilities and challenges inherent in this convergence. Methodology: This exploratory chapter delves into the evolving landscape of Society 5.0 and its pivotal emphasis on the integration of Information Communication and Computation Technologies (ICCT) to address the complex challenges in agriculture and environmental information management. Analysis/Results: The paper provides a background on the evolution of Society 5.0 and establishes the rationale for exploring the role of ICCT in advancing Agricultural and Environmental Information Systems within this transformative societal framework. The core technologies in ICCT are explored through IoT applications in precision agriculture, the transformative impact of blockchain in agricultural supply chains, and the utilization of remote sensing and Earth observation systems along with data analytics for environmental insights. The paper further investigates the integration of ICCT in Society 5.0 agricultural and environmental systems, unveiling how these technologies support smart farming practices, citizen engagement in agricultural decision-making, and sustainable resource management. Case studies highlight successful ICCT implementations in agriculture and environmental management, underscoring best practices and lessons learned. Emerging trends in ICCT for agriculture and environmental science are explored, providing insights into future developments. Originality/Value: Through the lens of case studies showcasing successful ICCT implementations, it seeks to distill key insights, while also conducting a forward-looking assessment of emerging trends and applications, thus contributing to a deeper understanding of the evolving role of ICCT in shaping sustainable agricultural and environmental information paradigms within the societal context of the future. Type of Paper: Exploratory analysis.

Remote Sensing and Geographic Information Systems for Precision Agriculture: A Review

Precision agriculture aims to optimize crop production and minimise environmental impacts by using information technology, remote sensing, satellite positioning systems, and proximal data gathering. This review paper examines current applications and future directions of remote sensing and geographic information systems (GIS) for precision agriculture. Remote sensing provides data on crop health, soil conditions, water status, and yield which can guide variable rate applications within fields. Satellite and aerial platforms allow multispectral and hyperspectral imaging for vegetation indices analysis, crop classification, and stress detection. GIS technology integrates these data layers to model and map variations, develop prescription maps, and analyse spatial relationships. Key research frontiers include high-resolution satellite and drone data for within-field analysis, better integration of proximal and remote sensing, online nutrient and yield monitors, real-time prescription modelling, and predictive analytics using machine learning. Adoption continues to increase with better data analytics tools and greater economic returns realized. Remote sensing and GIS provide an integral platform for variable rate technologies, predictive modelling, and data-driven decision-making for precision agriculture.

DEVELOPMENT OF WEB GIS APPLICATIONS FOR MONITORING AGRICULTURAL ACTIVITIES IN SUNGAI KAKAP DISTRICT, KUBU RAYA REGENCY

<p>Good agricultural development planning requires an accurate and real-time database. This is very important to see the development and level of welfare of farmers as the spearhead of food security. Sungai Kakap Sub-district, Kubu Raya Regency is one of the sub-districts with the number of Gapoktan (23), Poktan (284), the number of members (6305) with Field Agricultural Extension Workers (PPL) since 2019 totalling 9 civil servants and 14 people helping themselves. The number of PPLs is not proportional to the number of farmer group members, making supervision of agricultural activities difficult. The presentation of information in the form of Web GIS is expected to be a solution so that assistance, guidance, and counselling carried out by the government through the agriculture office can be right on target. The purpose of this research is to build a Web GIS-based Agricultural Information System in Sungai Kakap District so that it can be used as a model for agricultural monitoring activities in other areas. The engineering method in this research uses Remote Sensing and Waterfall methods. Remote Sensing is a method of building spatial data using aerial photo interpretation techniques, while Waterfall is used to build a web GIS as a place to display spatial data. The result of this research is Software Engineering in the form of a Web GIS-based Agricultural Information System Application. This Web GIS application can then be used as a tool to monitor the agricultural activities of each farmer group member in each farmer group.</p>