Agricultural Information System Research Articles

A Systematic Review of Geographic Information Systems (GIS) in Agriculture for Evidence-Based Decision Making and Sustainability

The aim of this study was to consolidate current information on the utilization of Geographic Information Systems (GIS) and Remote Sensing (RS) in the agricultural sector, with a focus on their role in promoting evidence-based policies and practices to enhance agricultural sustainability. Additionally, this review sought to identify the challenges hindering the widespread adoption of GIS and RS applications, particularly in low- and middle-income nations. This study employed the methodology of systematic literature review. The findings indicate that the utilization of GIS technology in the agricultural sector has experienced a notable increase over the past few years. The primary areas of use for GIS that have been identified encompass crop yield estimation, assessment of soil fertility, monitoring of cropping patterns, evaluation of drought conditions, detection and management of pests and crop diseases, implementation of precision agriculture techniques, and management of fertilizer and weed control. GIS technology possesses the capacity to augment the sustainability of agriculture by incorporating the spatial aspect of agricultural practices into agricultural policies. Furthermore, the potential of GIS in facilitating evidence-based decision making is expanding. Given the escalating peril of climate change on agriculture and food security, there exists a heightened imperative to include GIS into policy formulation and decision-making processes to enhance the sustainability of agricultural practices. The findings of this study might be beneficial in informing the development of policies that effectively integrate sustainable and climate-smart practices in agriculture.

Application of Agricultural Information Systems Development Kit for Multimodal Agricultural systems

Multifunctional and diverse agriculture has the potential to effectively address conflicting demands and requirements by concurrently boosting biodiversity, production, and provision of environmental services. Digitalized technology can assist in the creation and control of agricultural models and systems that are resource-efficient and adaptable to their environments. In order to demonstrate the potential of digital technology in promoting decision-making processes that prioritize diverse and environmentally sustainable farming practices, we present an analysis of Agricultural Information Systems Development Kit (AISDK). The AISDK was developed through a comprehensive literature review to identify the limitations of current tools. Additionally, in collaboration with stakeholders, we established the criteria for a decision-support tool that is based on knowledge. The findings of the review emphasize the ongoing challenges associated with the integration of multiple spatial, temporal, and sustainability dimensions, as well as the promotion of effective collaboration and communications among farmers and key stakeholders in the agriculture sector.

Agricultural market information: How much and who is willing to pay for it?

AbstractAccess to an agricultural market information system (AMIS) is essential to reduce farmers' risk from market speculation related to information asymmetry. However, AMIS's sustainability depends on the users' needs and willingness to pay (WTP) for market information. This paper explores the WTP for market information among market‐oriented farmers, as well as its determinants. Data were collected through a structured survey with 479 farmers. A contingent dichotomous choice dual boundary estimation is used to measure WTP and a logistic regression is used to ascertain the main determinants of the stated WTP. Experienced losses, access to market information, use of non‐virtual means of information, and degree of farm specialization are the main determinants of the WTP. These findings are useful for establishing a feasible AMIS, and designing its services according to the characteristics, needs, capacities and preferences of the identified potential users.

Performance Evaluation on Agricultural Counseling Agents in Palopo City and Luwu Regency, South Sulawesi, Indonesia

Having a key part in a nation’s economy, agriculture has been striving with innovations for global needs. Competent agricultural counseling agents are among them as they function to modernize farmers in terms of knowledge, skill, and technology by transforming their ways of thinking, work ethics, attitudes, and behaviors. This study researched 117 respondents in Palopo City and Luwu Regency. Organized as per Likert scale, data was run through Structural Equation Modeling (SEM) by employing Smart-PLS application. The result on Hypothesis 1 came out with tStatistic 3.286 > tTable 1.986 with P value of 0.002 < 0.05 – in other words, agricultural counseling agent’s competence is positively and significantly influential towards agricultural counseling agent’s performance. As of Hypothesis 2, the result was tStatistic 2.312 > tTable 1.986 with P value of 0.021 < 0.05 – this indicates that agricultural counseling information system management is positively and significantly influential towards agricultural counseling agent’s performance. It is therefore recommended to optimize both agricultural counseling agent’s competence and agricultural counseling information system management to improve the performance of agricultural counseling agents in Palopo City and Luwu Regency.

Experience and prospects of the use of precision livestock farming in the Russian Federation

The purpose of the work was to analyze the use of precision livestock farming technologies in the Russian Federation. A number of highly promising directions in the development of agriculture in general and animal husbandry in particular in the agro-industrial complex of the Russia Federation was described in the article. The main attention was paid to the development of precision livestock farming technologies as the most important component in the digital transformation of agricultural production with its most developed livestock segment and especially dairy cattle breeding. An overview of some important software products being developed, implemented and already widely used, information systems, and other digital solutions are extremely necessary for the effective functioning of the livestock industry of Russia. Some landmark developments, examples of the introduction of precision livestock farming elements, automation systems, information and analytical systems in agriculture, which are actively engaged in a number of organizations of the Russian Academy of Sciences and especially scientific and practical centers, scientific and research institutes as well as other domestic organizations of various departmental affiliation and form of ownership, have been considered. The new opportunities and advantages received by the state and farmers from the use of various digital solutions in the field of animal husbandry have been discussed.

Defining Integrated Agriculture Information System Non-Functional Requirement and Re-engineering the Metadata

Defining Integrated Agriculture Information System Non-Functional Requirement and Re-engineering the Metadata

Management of land relations and their impact on production in agriculture of the Kyrgyz Republic

The modern development of land and production relations in agriculture are becoming a priority, since the agricultural sector can take a leading position in transforming the country’s economy. The study is aimed at clarifying the problems of theoretical and practically oriented foundations for the formation of land relations management and their impact on the production component of the industry. Theoretical positions and conclusions are formulated within the framework of the concept of sustainable development of the country's economy, which determines the further direction of the formation and management of land relations that actively influence agricultural production. This study showed the possibilities of managing the main resource of agricultural production and its role in the further distribution by categories of farms, thereby highlighting peasant (farm) farms as the main farms in the creation of gross agricultural output. Based on the study, it is recommended to improve the system of managing land relations, including strengthening the legislative framework, creating a unified agricultural information system for monitoring land, developing a program for the use and management of land areas that, for one reason or another, are not used in crop rotation and tend to decline.

A NOVEL SYSTEM FOR PREDICTING THE DAMAGE OF RICE DISEASES IN AN GIANG PROVINCE, VIETNAM

Many researchers have recently considered information technology applications to support smart agriculture. Numerous solutions and information technology systems have been implemented to benefit farmers, such as an e-commerce website for exchanging agricultural products, an agricultural information system, a livestock information management system, and an agricultural environment monitoring system. This paper presents a novel system that combines artificial back-propagation neural networks with genetic algorithms for predicting the damage of rice diseases in An Giang province. The system predicts rice disease damage in the coming weeks in 11 districts in An Giang based on input parameters such as climate conditions and previous rice disease damage. The approach was evaluated on a dataset collected by the An Giang Plant Protection Department over 22 years. The rice diseases forecasting system produced promising results and received positive feedback from forecast department specialists, with an RMSE of 19.31 on the test dataset (ha).

Economical, Financial and Allied Concerns in healthy Agricultural Information Systems Practice: The Context of Developing Countries

"Informatics is a domain not only for practicing but also a field of study which is really dedicated to study about the information activities such as collection, selection, organization, processing, management and delivery using technologies. The utilization of Informatics in various fields and sectors responsible in developing other domain focused areas and fields such as Bio Informatics, Health Informatics, Geo Informatics, Agricultural Informatics, and so on. Agricultural Informatics is also called as Agricultural Information Technologies and Agricultural Information Science which is simply the merger of the Agricultural Science with Information Science. Basic and latest applications of the IT and Computing in Agriculture and other allied domains are developing and modernizing better and healthy Agricultural practice with ICT. Various other technologies and systems also dedicated in agricultural activities for proper and effective and healthy Agricultural Practice. Many countries worldwide dedicated in ICT applications in Agricultural Systems for effective and progressive situation. Though, modern researchers find-out some of the critical issues and challenges in Agricultural Informatics, and most of the issues are related to the finance and economics including social. This work highlights fundamentals of Agricultural Informatics including technologies and impact of Agricultural Information Science with reference to the latest and researched issues, challenges of ICT in Agricultural Systems related to the economy and financial concern."

Machine-Learning-Based UAV-Assisted Agricultural Information Security Architecture and Intrusion Detection

In recent years, Unmanned Aerial Vehicle (UAV) remote sensing has developed rapidly in the field of farmland information monitoring. Real-time and accurate access to farmland information and crop growth dynamics is a prerequisite for the implementation of precision agriculture. Machine Learning identifies existing knowledge to acquire new knowledge, promotes the development of Artificial Intelligence, and brings a large number of data training sets for Machine Learning. The present work aims to ensure the safe operation of agricultural information systems and guarantee the data security of intelligent agriculture. The Machine Learning method explores the wireless network deployment of the UAV system. The geographical location deployment of agricultural information security can effectively carry out rapid security detection of agricultural information security. Firstly, the UAV-assisted information acquisition system was studied. Besides, a Double Deep Q-network (DDQN) algorithm for location deployment based on Geography Position Information (GPI) was proposed to quickly optimize the deployment location of UAVs. GPI can avoid the complicated calculation process of channel state information. The DDQN algorithm was introduced to obtain the functional relationship between GPI and the optimal UAV deployment position, forming a new GPI-Learning strategy. In addition, the Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) are integrated as the CNN-LSTM algorithm to build the intrusion detection system for agricultural IoT for agricultural. In the integrated network structure of the system, LSTM is responsible for data transmission, and CNN is capable of network model building. Combined with the influence of various parameters on the performance of the UAV deployment location algorithm, the simulation experiment set the population size as 36, the discovery probability as 0.25, the step scaling factor as 0.8, and the Levy flight index as 1.25. The network throughput performance of the GPI-Learning algorithm combined with Cuckoo Search was better than other algorithms under different numbers of UAVs. On the KDD-CUP99 data set, the accuracy and detection rate of the agricultural IoT intrusion detection system based on the CNN+LSTM algorithm reached 93.5% and 94.4%, respectively. In general, the agricultural IoT intrusion detection system reported here has crucial practical reference value for the safe operation of agricultural information systems.

Geographic information systems as an innovative method for increasing the productivity of agricultural land

The goal is to identify and specify the stages of formation and development of geographic information systems (GIS) in agriculture, used to improve the efficiency of agricultural land. Methods – system analysis, monographic, statistical, economic, classification, grouping, logical generalization. Results – the author shows the problems of disseminating technologies that are geographically linked in the agricultural sector abroad and in Kazakhstan. The stages of cartography, remote sensing of the earth, organizational work to collect information on the biodiversity of the territory of foreign countries, starting from laboratories, then computer programming until the end of the cycle are outlined. Natural and climatic factors that influence the composition and change in the size of the land fund of the republic, in particular agricultural lands, are considered. Negative land management processes, the presence of a large amount of disturbed land resulting from industrial production, and the existence of anthropogenic pollution that worsen soil fertility are highlighted. Conclusions – the need for wide dissemination of GIS for the rational use of land resources arose during the monitoring and assessment of soil characteristics, the need to determine the forecast level of yield, water management, spatial planning and production decision-making. The argument for the use of GIS technologies is the modern land policy of the state, aimed at creating a rational balance between the sustainable development of the agroindustrial complex and the preservation of natural potential in order to improve living conditions in rural areas. Geographic information systems contribute to increasing the profitability of agricultural enterprises and optimizing its costs. Digital cartographic products are increasingly found in the practice of intensively developing farms.

Combining shape and crop models to detect soybean growth stages

Accurately monitoring soybean growth stages (SGSs) is crucial for successful crop management and the development of agricultural information systems. This study focused on 18 states that accounted for over 95% of the soybean area in the United States from 2013 to 2020. We proposed an SMFs-APTT method that integrates crop data layers (CDLs), time-series of VIIRS data, and meteorological data. It combines a shape-model function in separate meteorological stages (SMFs) with a crop model that relies on an accumulated photothermal time (APTT). This approach provides both full-season and within-season monitoring of four soybean growth stages (SGSs); i.e., emergence, blooming, pod-setting, and leaf-dropping. Based on the results obtained from the SMFs-APTT method, a long short-term memory (LSTM) model was employed to predict SGSs early. The dates of the detected and predicted SGSs were compared with National Agricultural Statistics Service (NASS) Crop Progress and Condition Report (CPR) statistical data for analysis and verification. Our results show the following. (1) For the full-season extraction of SGSs, the average root mean square error (RMSE) derived using the SMFs–APTT method was 0.86–3.06 days and that obtained using the SMFs method was 1.56–3.26 days. (2) For the within-season monitoring of SGSs, the SMFs–APTT method was also able to accurately track the growth stages as early as ∼30 days after they reach 50% completion with an average RMSE of 2.1 days. (3) For the early prediction of SGSs, the LSTM model that was trained based on the SMFs–APTT results achieved an RMSE of ∼4.3 days at the state scale and could approximately predict SGSs ∼30 days in advance. Our findings suggest that the SMFs–APTT method provides accurate and reliable extraction of SGSs for full-season and within-season monitoring, which is of benefit to crop modeling and management. Furthermore, the LSTM model successfully forecast SGSs, indicating its potential for making early predictions.

A typology of agricultural market information systems and its dimensions: Case studies of digital platforms

A typology of agricultural market information systems and its dimensions: Case studies of digital platforms

The Analysis of Key Success Factors Affecting the Satisfaction of Agricultural Organizational Information Systems

This article takes the WeChat public account of agriculture and rural areas in J Province as the research object to explore the influencing factors of satisfaction of organizational information system (IS) in agricultural sector. Firstly, new media is taken as the background, and the characteristics and communication factors of agricultural informatization are analyzed. Secondly, a user satisfaction questionnaire of the WeChat public account of agriculture and rural areas of J Province is designed based on the satisfaction theory and the success model of IS. Finally, the influencing factors of users' satisfaction with agricultural and rural WeChat public accounts are studied through questionnaire survey. The results show that the correlation coefficients among perceived value (PV), information quality (IQ), perceived usefulness (PU), and platform satisfaction are all positive, and p £ 0.01.

Agri Solutions

Abstract: The agricultural information system provides its users and researches to get online information about, the crop, statistical details and new tendencies. The trends of the crops act so that these will be pretty important to the users who access these via the Internet. The main features of the information system includes information retrieval facilities for users from anywhere in the form of obtaining statistical information about fertilizer, land availability, diseases, suitable soil concentration for the corresponding crops, statistical information about exports and etc. In addition this provides individual information about Intercrops related to main crops. The system allows the retrieving facilities but also the updating facilities to the authorized persons. After 20 years of neglect by international donors, agriculture is now again in the headlines because higher food prices are increasing food insecurity and poverty. In the coming years it will be essential to increase food productivity and production in developing countries, especially in Sub-Saharan Africa and with smallholders. This however requires findings viable solutions to a number of complex technical, institutional and policy issues including land markets, research on seeds and inputs; agricultural extension; credit; rural infrastructure; storage; connection to markets; rural non-farm employment and food price stabilization

PERANCANGAN SISTEM INFORMASI PERTANIAN KABUPATEN TOBA BERBASIS WEB

Agricultural information systems are very important and very influential in conveying information about agriculture to the wider community. At this time information about agriculture in Toba district does not yet have the right system for conveying agricultural information, resulting in information about agriculture not being conveyed to the wider community, especially the people of Toba district properly and quickly. To overcome the above problems, the researchers designed a web-based agricultural information system in Toba district which aims to make it easier for the wider community to find the latest information about agriculture such as types of agricultural products, production yields, prices and agricultural activities in Toba district. This information system was built by utilizing the HTML, CSS and MySQL programming languages to process the database used to use the Sublime Text application as a place for program design.

Aplikasi Penginderaan Jauh dan SIG Pemetaan Pengunaan Lahan dan Sistem Informasi Lahan Pertanian (Studi Kasus di Kabupaten Nagekeo, Provinsi Nusa Tenggara Timur)

Remote sensing technology combined with Geographic Information Systems (GIS) can provide and produce data and information quickly, precisely, and accurately, so that the latest land use can be known. This study aims to determine the level of accuracy of satellite imagery interpretation, make existing land use maps, and provide agricultural land information systems in Nagekeo Regency. The research method used is an explorative method. The stages of the research consisted of identifying satellite images, field surveys, reinterpreting land use maps, and creating agricultural land information systems. The results showed that the level of accuracy of interpretation of satellite imagery for land use in Nagekeo Regency was 97%. The widest use of paddy fields is in Aesesa Subdistrict with 5080 ha, the widest use of dry land is in Nangaroro Subdistrict with 2062 ha, the widest use of mixed garden land is in Boawae Subdistrict with 7062 ha and the widest use of garden land is in Mauponggo Subdistrict 2800 ha. Information on paddy fields contains information on land area, land status, farmer's name, farmer's address, farmer's age, cropping pattern, and yield sharing system. The total land ownership of the owner's land was 2417.77 ha with a total of 2798 plot units, 1102.7 ha of sharecroppers' land with a total of 1240 plot units, and pawning farmer's land area of 233.99 ha with a total of 331 plot units.

Advancing Agricultural Predictions: A Deep Learning Approach to Estimating Bulb Weight Using Neural Prophet Model

A deep learning methodology was utilized to predict the bulb weights of garlic and onions in the Jeolla Province of Korea. The Korea Rural Economic Institute (KREI) operates the Outlook & Agricultural Statistics Information System (OASIS) platform, which provides actual measurements of garlic and onions. We trained the Neural Prophet (NP) lagged time-series model using this data. The NP model effectively handles lagged variables and their covariates by inserting a hidden layer. Our results indicate that the NP model performed with around 5% mean absolute error in predicting bulb weights, with a gap of 3.3 g and 4.7 g with average weights of 63.7 g and 129.9 g for garlic and onions, respectively. This experimental research was based on only three years of measurement data. Hence, the gap between observed and predicted data can be reduced by accumulating more measurement data in the future.

The Digital Agricultural Knowledge and Information System (DAKIS): Employing digitalisation to encourage diversified and multifunctional agricultural systems

Multifunctional and diversified agriculture can address diverging pressures and demands by simultaneously enhancing productivity, biodiversity, and the provision of ecosystem services. The use of digital technologies can support this by designing and managing resource-efficient and context-specific agricultural systems. We present the Digital Agricultural Knowledge and Information System (DAKIS) to demonstrate an approach that employs digital technologies to enable decision-making towards diversified and sustainable agriculture. To develop the DAKIS, we specified, together with stakeholders, requirements for a knowledge-based decision-support tool and reviewed the literature to identify limitations in the current generation of tools. The results of the review point towards recurring challenges regarding the consideration of ecosystem services and biodiversity, the capacity to foster communication and cooperation between farmers and other actors, and the ability to link multiple spatiotemporal scales and sustainability levels. To overcome these challenges, the DAKIS provides a digital platform to support farmers' decision-making on land use and management via an integrative spatiotemporally explicit approach that analyses a wide range of data from various sources. The approach integrates remote and in situ sensors, artificial intelligence, modelling, stakeholder-stated demand for biodiversity and ecosystem services, and participatory sustainability impact assessment to address the diverse drivers affecting agricultural land use and management design, including natural and agronomic factors, economic and policy considerations, and socio-cultural preferences and settings. Ultimately, the DAKIS embeds the consideration of ecosystem services, biodiversity, and sustainability into farmers' decision-making and enables learning and progress towards site-adapted small-scale multifunctional and diversified agriculture while simultaneously supporting farmers' objectives and societal demands.

PERANCANGAN SISTEM INFORMASI PERTANIAN BERBASIS WEB PADA DINAS PANGAN, TANAMAN PANGAN DAN HORTIKULTURA

<p><em>This study aims to design an agricultural information system using the MySQL database programming language at the Riau Province food, agriculture and horticultural service by using the Design Unified Modeling Language (UML) modeling, one of the advantages of this system is the availability of fast information services. For agencies, this is the right way to share programs or services not only to employees but also to the public directly. The fact is that this information information system not only provides information online, but also with service value. It is hoped that the system that the authors develop This can be a place of service for all agencies, so that the design can be useful for the food, food plants and horticulture office of Riau province to develop the official website.</em></p><p><strong><em>Keywords</em></strong><em>: Agricultural Information Systems, Website</em></p><p><em>This study aims to design an agricultural information system using the MySQL database programming language at the Riau Province food, agriculture and horticultural service by using the Design Unified Modeling Language (UML) modeling, one of the advantages of this system is the availability of fast information services. For agencies, this is the right way to share programs or services not only to employees but also to the public directly. The fact is that this information information system not only provides information online, but also with service value. It is hoped that the system that the authors develop This can be a place of service for all agencies, so that the design can be useful for the food, food plants and horticulture office of Riau province to develop the official website.</em></p><p><em> </em></p><p><strong><em>Keywords</em></strong><em>: Agricultural Information Systems, Website</em></p><p><em><br /></em></p>