Agricultural Information System Research Articles

Measuring farmers' well‐being: Influence of farm‐level factors on satisfaction with work and quality of life

AbstractTo achieve social sustainability, there is a need to incorporate social metrics of farmers’ well‐being into agricultural monitoring systems. We contribute to the operationalisation of the measurement of farmers’ well‐being by determining how farm‐level factors influence farmers’ satisfaction with their work and quality of life. Using a data sample of 1099 farms that are part of the Farm Accountancy Data Network (FADN) in nine European countries, we tested a set of hypotheses related to work satisfaction and life quality perception based on a structural equation model. Satisfaction with on‐farm work has a significant and substantial influence on satisfaction with quality of life. Farm‐level aspects, such as working time, age of assets, financial situation of the farm and community engagement, significantly influenced farmers’ satisfaction with farming, but their joint effect explained less than one‐fifth of the satisfaction. The results suggest that agricultural information systems intended to monitor and compare sustainability progress on farms would benefit from the integration of a metric measuring social concerns from the farmers’ point of view.

Design and Development of interactive and low cost Autonomous Ergonomic Weed Eliminator

Recently it has been observed that there is a wide gap between agricultural income and non agricultural income. This has compelled huge population to look for job in other sectors where income is high. Thus Indian farmer needs accessible, affordable, user friendly farm automation system which encompasses true cost cutting and improving yield. It is a big challenge to have unified approach to design operator neutral platform, conforming to uniform application standards, localized and easy to use agriculture information system that can eliminate distance, labour and time with low cultivation cost. The aim of this paper is to structure, functionality, ergonomically usage with illustration of user friendly collaborative, interactive and low cost autonomous weed eliminator. The discussed weed eliminator can detect weeds using camera vision and eliminates weed through actuation of cutters using smart phone as a client. Further it has been improvised to accept the Voice Command for its operation. A low cost futuristic autonomous weed eliminator has been designed and developed by the authors. The objective of this weed eliminator equipment is to eliminate weeds from the field ergonomically.

The global cost of reaching a world without hunger: Investment costs and policy action opportunities

This study developed a marginal abatement cost curve to identify a mix of least-cost investment options with the highest potential for hunger reduction, hunger here defined by the undernourishment concept of the Food and Agriculture Organization. Twenty-two different interventions are considered for reducing undernourishment relying on information drawn from best available evidence-based literature, including model- and large-scale intervention studies. Ending hunger by 2030 would require annual investments of about US$ 39 to 50 billion until 2030 to lift about 840 to 909 million people out of hunger, which is the 2020 estimate of hunger projection in 2030, also considering the effects of COVID-19. Investing in agricultural R&D, agricultural extension services, ICT - Agricultural information systems, small-scale irrigation expansion in Africa and female literacy improvement are low cost options that have a relatively large hunger-reduction potential. To achieve the goal of ending hunger by 2030, not only is it urgent not to lose any more time, but also to optimally phase investments. Investments that have more long-term impacts should be frontloaded in the decade in order to reap their benefits soon before 2030. A balanced approach is needed to reach the hungry soon – including those adversely affected by COVID-19 with social protection and nutrition programs.

Knowledge Networking among Women’s Groups, Finance Institutions and Extension Adminstration inRahad Agricultural Scheme- Sudan

The Establishment of the Rahad Agricultural Scheme in Eastern Sudan in the 1970s established an agricultural innovation system where different actors are networking to provide better livelihoods within the irrigated scheme area. The objectives of the paper are presenting the connections of women groups and their networking to the extension and finance institutions in the scheme area and trying to relate it to the theorizing of agriculture knowledge and information system, so new roles and connections are suggested to improve the performance of Rahad Agricultural Scheme. System thinking is the methodology to analyze knowledge networking among extension, and finance institutions from one side and among women’s groups on other side. Accordingly, Rapid Appraisal of Agricultural Knowledge Systems (RAAKS) and Social Network Analysis were conducted to identify roles and knowledge sharing among Women Groups, Saving and Social Development Bank and Extension Administration in Rahad Agricultural Scheme. Results of this research showed that most Women Associations interviewed had a sense of independence from the Women’s Union activities, while the Women’s Union expressed closer connections and had a sense of ownership over the Women’s Associations activities such as saving funds and Quran learning lessons. Some Women Groups in Rahad Agricultural Scheme are actively engaged in non -farming micro-finance projects through their connections with Saving and Social Development Bank. However, their farming and livestock keeping activities are not recognized by Extension Administration in the scheme and not financed by the schemes finance institutions. Building of multi hubs model (connecting actors with training and capacity building) is the strategy to improve knowledge networking between women’s groups, Extension Administration and Saving and Social Development Bank. In this manner, the extension can be the knowledge broker who can connect actors and communicate information in order to improve the networking among the studied actors which would enhance the performance of agricultural innovations in Rahad Agricultural Scheme as a whole

Sistem Informasi Pendataan Potensi Pertanian Kabupaten Kepulauan Talaud Berbasis Web

Economic development in the agricultural sector is intended to increase farmers' income and to equalize development in rural areas. The agricultural potential data collection information system is carried out to find out the various advantages or privileges that exist in the Talaud Islands Regency. One of the government agencies that carry out this activity is the Department of Food Security and Agriculture of the Talaud Islands Regency. This is the benchmark of this discussion and research. The author's team conducted research at the Department of Food Security and Agriculture of the Talaud Islands Regency by collecting data in the field, the authors used questionnaires and interviews. Interviews were conducted with the head of the plantation sector and one staff member of the plantation sector. Based on the results of research in the field and adapted to the needs of potential data by information users, the authors designed an application of information systems for data collection of agricultural potential in Talaud Islands Regency based on a website This system is made to facilitate potential data collection, access and quick information. Stakeholders in collecting data on agricultural potential in the Talaud Islands Regency can access potential data online without having to deal directly with agricultural potential managers

A comparative discourse of sustainable finance options for agribusiness transformation in Nigeria and Brunei: implications for entrepreneurship and enterprise development

PurposeThe growing adoption of sustainable finance for inclusive agribusiness requires a cross-country comparison. In this paper, a comparative discourse of sustainable finance (SF) options for agribusiness transformation in Nigeria and Brunei is attempted; as well as examining the implications on entrepreneurship and enterprise development in both countries.Design/methodology/approachA mixed research method was adopted for this cross-country comparative analysis. To gain deeper insight into agribusiness and SF, the authors sourced the required data from scholarly articles, texts, World Bank data (2000–2016), national policy documents, working papers, national development plan reports, and other online resources on agribusiness and SF. The authors adopted mixed data (non-numeric and numeric data) because they allow for combining content analysis and secondary data in quantitative analysis (Williams and Shepherd, 2017). This mixed method approach follows a three-stage, namely: Data sourcing, Data development and conversion and Data analysis.FindingsThis discourse based on the mixed data produced four findings. Firstly, it was found that both countries have different statuses in the agribusiness sector, but Brunei had better growth performance in the crop, food, livestock, cereal production indices compared to Nigeria. Secondly, the challenges facing agribusiness in both countries include inadequate funding, misuse/mismanagement of land resources, deployment of extractive farming practices, application of ozone-depleting chemicals and pesticides among others have harmed the vegetation, the farmland, and the chemistry of the ocean resulting in low productivity. Thirdly, the SF options that are suitable for agribusiness transformation are green loans, green bonds, green credit, green investment funds, green mortgage scheme and other green financial support instruments given mostly as grants, subsidies and tax reliefs. The key guidelines for entrepreneurs seeking SF options for agribusiness are Principles 2, 4, 5, 6, 8, 9 and 10 of the EPs.Research limitations/implicationsThe main limitation of the study is that the analysis and interpretation of the findings are based on descriptive statistics. However, future research should consider using rigorous econometric tests such as the Co-Integration Test, Test of Causality and Inferential Statistics that would enhance stronger generalisation and prediction.Practical implicationsThe practical implication is that agribusiness transformation through sustainable finance options (SFOs) would bring about a structural change from the current subsistence agricultural practices to large-scale agriculture practices characterised by the deployment of agricultural information systems (AGRIS), precision agriculture and agricultural technologies. Flowing from the first implication, the nexus between agribusiness and SFOs will systematically improve agricultural productivity in the areas of crop production, fishing, livestock and forestry in both countries. Thirdly, an improved agribusiness would boost food production and availability thereby mitigating the rising trends in food insecurity, food inflation, food poverty, and ultimately will help actualize SDG 1(No poverty), SDG 2 (Zero Hunger), and SDG 3 (Good Health and Wellbeing).Originality/valueThe authors contribute to the literature on SF and agribusiness in emerging economies by identifying an inclusive strategy that matters for agribusiness transformation in high-income and low-income economies.

Code Smell Identification As The Basis For Code Refactoring in The Agricultural Information System Portal Case Study at: Gilangharjo Village, Bantul Regency, Indonesia

Information system technology continues to evolve over time. Various fields of science including agriculture also utilize information system to improve quality and services in the agricultural sector. Indonesia is an agrarian country where most of the populations work in the agricultural sector. Based on this fact, the Indonesian government is also very supportive towards improving and developing technology in agriculture. Dutatani is one of the Agricultural Information Systems (SIP) that has been consistently developed since 2016 towards precision agriculture. One of the technologies developed is web-based technology which has many sub-systems in it. This raises the problem regarding system scalability wherein each sub-system is developed separately and uses a different development model. Each system uses a specific framework and a native. Therefore this study aims to identify which sub-systems are suitable to be developed and refactored to become a new agricultural information system portal. The identification process used a code smell and metric-based approach. The metrics used were Line of Code (LOC), Complexity, Lack of Cohesion of Methods (LCOM) and God Class. From the results of detection using a code smell, the code detected was 55.17%. This study also revealed a fact that code with a good structure would be easier to detect. Modular code that used a framework and was orderly structured could be read well by detection tools, and showed a high LCOM rate compared to structured and nativecode

Design and development of a web GIS for management and performance evaluation of agricultural farms of sahar food industries company (SFIC)

The web has changed everything, and GIS is no exception. Web GIS, as a combination of web and Geospatial information system or science (GIS) has become an evolving discipline. Web GIS provides all GIS functions, including easy access to spatial information, display, storage, editing, management, manipulation, analysis, and sharing of spatial information anywhere in the world at a relatively low cost and easily for end users. Has accepted. In this article, we will discuss the key technology of digital spatial information management system (Web GIS) of digital farms, then we will introduce SFIC. Finally, we design and develop a Web GIS as a management system with the aim of providing a suitable platform for the realization of visual management performance and also evaluating the performance of agricultural farms. This management and monitoring system helps decision makers and professionals to easily make appropriate decisions to increase crop production, management, updating spatial and descriptive farm information, and other related activities. Sahar Web GIS Agricultural Farm Management Spatial Information System helps ordinary and non-expert users to easily access information and improves the necessary measures for making decisions in this field.

Using deep belief network to construct the agricultural information system based on Internet of Things

Using deep belief network to construct the agricultural information system based on Internet of Things

Realization of Agricultural Machinery Equipment Management Information System Based on Network

In order to study the role of information technology in the promotion of agricultural development and information in today's social and economic development of the most important strategic impact, on the basis of modern management, this paper investigates and studies the existing agricultural machinery management information system through the application of grey theory, information system engineering, information system utility, and other theories. The results show that a new agricultural machinery equipment management information system is developed through PHP and Mysql databases, and the system data is summarized and analyzed to obtain agricultural machinery management information. Through the experiment, the authors found that ordinary users can inquire about agricultural policies and science and technology through the internet and can also inquire about the scientific and technological schemes of various agricultural development processes.

Marketing Efficiency among Gender-Based Decision-Making Farm Households in Southern Ethiopia

This study examines the effect of gender on marketing efficiency among maize producing households using data collected in the Dawuro zone, southern Ethiopia. Results indicate that the amount of maize assigned to the first ranked (most efficient) channel for male, female and joint decision-making households is significantly larger than that of the second, third, and fourth ranked channels, respectively. Significant results vary across gender categories at the same stage of marketing channel. Female decision-making households receive a lower producer price, as well as cover higher marketing costs and margins of middlemen, as compared to male and joint decision-makers at the same stage of the marketing channel. This study also found a limited financial ability for local institutions to establish maize storages in the study area. There is a need for an integrated agricultural marketing information system that would help female decision-making maize producers to better engage in available market opportunities.

Using Open Remote Sensing Data to build an Agriculture Big Data System

Landsat, MODIS, and Sentinel satellites are continuously producing multispectral sensor data with different spatial, temporal, and radiometric resolutions. This raw sensor data is calibrated and processed further, and additional data products are derived, which greatly reduces the burden for downstream applications from preprocessing these data. These petabyte-scale datasets are available to anyone free of charge. Remote sensing plays a key role in modern Agriculture. We can extract information about Soil, Weather, Water, and vegetation from these datasets. By processing historical remote sensing data, we can build temporal profiles of soil, weather, water, and agricultural conditions of the land. Deep learning and Spatio-temporal data mining algorithms can be applied to this data to extract hidden information. Having access to all this information via an agriculture information system, farmers will understand their land better and they will be empowered to make better decisions on a day-to-day activity. Although it looks simple from the surface, collecting, analyzing, and deriving insights from these sensor data and other data products from a multitude of sources is a big data and high-performance computing challenge. In this paper, we discuss the current open datasets and how these datasets can be used to solve various problems in agriculture. Also, we discuss implementing a cloud-based scalable agricultural information system which provides actionable insights to farmers.

Innovative Agricultural Information System with User Friendly Digital Assistance for Farmers

In India, most of the populace is subordinate to cultivating for survival. Numerous farmers are not mindful of the exterior world and the specialized progressions around cultivating. They confront a parcel of issues in their day-to-day life such as they need to keep track of their trim stock, their tractors, and devices. Most of the farmers do not have any thought almost the rates of the crops and their items and they offer their items at any fetched price. In today's world, farmers get news through daily papers and television. Farmers don’t get the data or news around the closest showcase that's displayed in their locale or indeed offer and track their crops. So, because of this they more often do not get any thought about the current news regarding the farming plans. In conclusion, they have to sell their products at a very low cost to a local supplier. We are looking forward to protecting these anticipating farmers from being cheated from their reasonable share of their income. These days versatile applications and web administrations are making things less difficult by satisfying our day by day needs for data, communication, amusement, or relaxation. Web applications have brought an unused insurgency. In this paper, we offer one such web application called “Genesis - Farmers Digital Assistant” which is as of now beneath advancement by us. This web benefit can offer assistance to farmers, customers, and suppliers have a less difficult, easy-to-use, and less time-consuming solution. Farmers Digital Assistant could be a web application that's built on keeping the farmers, providers, and customers in intellect. It keeps a farmer overhauled with all the data related to crops, pesticides, bug sprays, money related segment, etc. It gives nitty gritty data about which crop to cultivate in which season and which crop is appropriate for that specific region where the farmer is situated in. The government of India is investing a lot to form the utilization of the web accommodation for agribusiness purposes but the hindrance is the literacy of farmers with their access to the advanced world presently. So, with this web application, we make it a point to create our project user-friendly for the farmers in specific.

Innovative Agricultural Information System with User Friendly Digital Assistance for Farmers

In India, most of the populace is subordinate to cultivating for survival. Numerous farmers are not mindful of the exterior world and the specialized progressions around cultivating. They confront a parcel of issues in their day-to-day life such as they need to keep track of their trim stock, their tractors, and devices. Most of the farmers do not have any thought almost the rates of the crops and their items and they offer their items at any fetched price. In today's world, farmers get news through daily papers and television. Farmers don’t get the data or news around the closest showcase that's displayed in their locale or indeed offer and track their crops. So, because of this they more often do not get any thought about the current news regarding the farming plans. In conclusion, they have to sell their products at a very low cost to a local supplier. We are looking forward to protecting these anticipating farmers from being cheated from their reasonable share of their income. These days versatile applications and web administrations are making things less difficult by satisfying our day by day needs for data, communication, amusement, or relaxation. Web applications have brought an unused insurgency. In this paper, we offer one such web application called “Genesis - Farmers Digital Assistant” which is as of now beneath advancement by us. This web benefit can offer assistance to farmers, customers, and suppliers have a less difficult, easy-to-use, and less time-consuming solution. Farmers Digital Assistant could be a web application that's built on keeping the farmers, providers, and customers in intellect. It keeps a farmer overhauled with all the data related to crops, pesticides, bug sprays, money related segment, etc. It gives nitty gritty data about which crop to cultivate in which season and which crop is appropriate for that specific region where the farmer is situated in. The government of India is investing a lot to form the utilization of the web accommodation for agribusiness purposes but the hindrance is the literacy of farmers with their access to the advanced world presently. So, with this web application, we make it a point to create our project user-friendly for the farmers in specific.

The importance of accounting-integrated information systems for realising productivity and sustainability in the agricultural sector

Agricultural information systems are an integral part of modern farming and are helping to make a significant contribution to improved farm productivity and profitability. To date, however, there has been a failure to integrate accounting information systems with on-farm data, despite today’s farmers facing unprecedented and interconnected economic and resource pressures. This study explores this problem in more detail, defines the objectives of the solution and develops a model of integrated accounting and agricultural information systems, drawing on a ‘fads and fashions’ framework and advancing our understanding of bundled innovations. Using data from a participatory case study in Australian potato farming, the study integrates accounting data with soil moisture and climate data to track, alert and inform irrigation decisions. Development of preliminary digital software based on the model demonstrates how cost-informed tracking, alerts and forecasting can be supported by bundling accounting information systems and sensing technology. In doing so, the model extends the fads and fashions framework for agricultural information systems and demonstrates how accounting information can be the key for improved water productivity, profitability and agricultural sustainability.

An integrated fuzzy rough set and real coded genetic algorithm approach for crop identification in smart agriculture

Digitalization accumulates data in a short period. Smart agriculture for crop identification for cultivation is a common problem in agriculture for agronomists. The generated data due to digitalization does not provide any useful information unless some meaningful information is retrieved from it. Therefore from the existing information system, prediction of decision for unseen associations of attribute values is of challenging. This paper presents a model that hybridizes a fuzzy rough set, real-coded genetic algorithm, and linear regression. The model works in two phases. In the initial phase, the fuzzy rough set is used to remove superfluous attributes whereas, in the second phase, a real-coded genetic algorithm is used to predict the decision values of unseen instances by making use of linear regression. The proposed model is analyzed for its viability using agricultural information system obtained from Krishi Vigyan Kendra of Thiruvannamalai district of Tamilnadu, India. Further, the accuracy of the proposed model is compared with existing techniques.

Information systems in albanian agriculture; problems and future challenges

Information and communication technologies (ICT) in general and information systems in particular help the decision-making process, increase market and price information, impact the effectiveness of using objective resources such as land, workforce, or capital with evident managerial and profitability effects. The use of information systems in agriculture nowadays represents an opportunity as well as a significant development effect in agriculture in our country and for the improvement of quality of life in rural areas. Our country represents one of the countries where the use of ICT has significantly increased in recent years, although the economic infrastructure and level of knowledge mastered by individuals and businesses (especially in agriculture and rural areas), has been inadequate. Despite the extensive information provided through the internet and social media in general, information networks and platforms, communication and interaction for the agricultural economy sector are still at an early stage of development in our country. Based on the level of information systems usage in rural areas and the structural problems that economic stakeholders and entities face in the Albanian terrain, the role of ICT in the economic activity in these areas remains weak and with invisible effects.

МОНІТОРИНГ ЯКІСНОГО СТАНУ ГРУНТІВ З ВИКОРИСТАННЯМ ГЕОІНФОРМАЦІЙНОГО АНАЛІЗУ

The soil mapping is very important for the effective implementation of sustainable land management. In recent decades, the methods of mapping soil data have become much more, which improves the quality of the maps produced. Despite these improvements, field data on the ground remain the best source of information verified over the centuries and useful for soil mapping and sustainable land management. “Local” data and experience should be an important aspect of soil mapping, as farmers are one of the main end users of the maps produced, and therefore cartographic data should be relevant to the realities and needs of farmers. An important problem for Ukraine is the actualization of the quality of land. Information on the quality of Ukraine's land fund is currently out of date. The process of monitoring the state of lands should be modernized and automated, and the means to implement this process is the introduction of geoinformation monitoring methods. Currently, the main purpose of work on the analysis and display of data on the quality of soils is the modernization of research methods, as well as the display of results in a new format - using GIS. Geoinformatics is a promising scientific field that is developing rapidly. In the coming years, all areas of geographical knowledge will develop under the strong influence of geographic information technologies, computer processing of spatial information, and the use of global telecommunications networks will expand. The use of geographic information systems in agriculture makes it possible to apply new opportunities for managing agriculture and its main resource - land. The main advantage is the ability to share a database that contains certain data needed for land management, and is constantly updated and updated. GIS-technologies are also used to develop and analyze a large number of design solutions, creating recommendation and management maps in the agricultural sector.

Інтелектуальна система підтримки прийняття агротехнологічних рішень для посіву полів

The are crop planning problems exist in a modern agriculture of Ukraine. With the help of the intelligent support system for agro-technological decisions proposed by the authors, it is possible to simplify the planning process by using the concept of precision farming. Modern fields monitoring methods were analyzed and methods that will be used in the intelligent system are identified. The k-means method is one of them and will be applied to field clustering. The authors analyzed modern research and publications related to the concept of precision farming and the problem of implementing modern innovative information systems in agriculture of Ukraine. The decomposition of the intelligent system was carried out. Six main subsystems were identified, functional requirements were developed for each of them. Modern methods of fields monitoring are analyzed and methods that will be used in the intelligent system are identified, one of which is the k-means method, which will be applied to field clustering. Based on the already developed requirements, the authors have developed the general architecture of the system. The notation TOGAF was applied for the graphical display of the architecture. Based on the proposed architecture, intelligent system software was created. As a result of testing the soft-ware of the intelligent system, it is possible to draw a conclusion about its efficiency and readiness for implementation. The designed and developed system allows to carry out intellectual analysis of historical data of crops, to display results in the form of tables and graphs, to carry out planning of crops, agrotechnological operations and fertilizer application. The introduction of this system will improve the quality of management decisions and productivity of agricultural activities.

Analysis of information quality for a usable information system in agriculture domain: a study in the Sri Lankan context

In creating a usable Information System (IS), the quality of information is crucial for making the right decisions. Although, many Information Quality (IQ) features have been identified in a broader context, only certain IQ features would become applicable for each domain from the usability perspective. This study focuses on a theoretical analysis to identify the IQ features which would be significant to produce a usable agricultural information system with respect to the developing countries. Accuracy, Credibility, Context-specific, Completeness and Timeliness are identified as the essential features of the IQ for IS in agriculture which was substantiated through the preliminary analysis of user reviews on the agriculture mobile applications.