Use Of Agricultural Technologies Research Articles

Klasifikasi Penggunaan Teknologi Pada Petani Milenial di Sulawesi Selatan Menggunakan Density Based Spatial Clustering Algorithm With Noise

This research examines the use of agricultural technology by millennial farmers in South Sulawesi Province by applying the Density-Based Spatial Clustering Algorithm with Noise (DBSCAN) to the agricultural census data of South Sulawesi Province Phase 1 in 2023. The secondary data used includes the number of millennial farmers aged 19-39 who use or do not use digital technology, divided by district/city and gender. The analysis process begins with preprocessing to prepare the data, followed by clustering using the DBSCAN algorithm, determining the optimal values for the Eps and minPts parameters, and evaluating the quality of the formed clusters using the silhouette coefficient and elbow method. The results of the study indicate that the combination of Eps value of 1.000 and minPts value of 7 produces optimal clustering with 2 clusters formed and 92 data points clustered, while 4 other data points are considered as noise. Evaluation using the silhouette coefficient and elbow method also indicates that the optimal data grouping is k=2.

Integrated Service Architecture to Promote the Circular Economy in Agriculture 4.0

Innovation has been the transforming tool of precision agriculture as a response to population growth and the demand for more food with quality, less waste, food security, and sustainable management of environmental resources. The challenges are to increase the productivity of cultivated areas, both for current and future areas, to manage the use of potable water, scarce in many regions, to keep the soil fertile, and to reduce waste through reuse, optimization, resource sharing, and operational and strategic management based on accurate information of planting, harvesting, and management of environmental conditions, which are also objectives of the Circular Economy. Therefore, using Industry 4.0 technologies in agriculture becomes fundamental to facing such challenges. This paper presents a systematic literature review on Industry 4.0 technologies adopted in agriculture for sustainable development, considering environmental, economic, and social benefits. The research pointed to the use of IoT in irrigation control systems by sending automatic commands, monitoring soil and weather conditions, in the use of machinery with some automation features and in cloud data storage systems, and with the use of Big Data analytical tools, with access by mobile devices, these uses contribute to operational and strategic decision making in the management of planting and harvesting. However, the literature review did not find a technological architecture for Integrated Services in Agriculture 4.0. Thus, this paper proposes a Service Architecture that enables the promotion of a Circular Economy in Agriculture 4.0. The contribution of this article to the theory is in the expansion of knowledge of the use of technologies in Agriculture 4.0. In terms of practice, this article provides an Integrated Service Architecture so that new products can be developed for Agriculture 4.0 and thus contribute to society in reducing food insecurity, generating environmental, economic, and social benefits, and promoting the Circular Economy in Agriculture 4.0.

Analysis of the Application of Modern Technologies in Agriculture in Three Balkan Countries and the Impact on Biodiversity

In this study, an in-depth analysis of the application of modern technologies in agriculture in three Balkan countries - Serbia, Bosnia and Herzegovina and Montenegro were conducted and its potential impact on the biodiversity of these regions is examined. Agriculture, as a main activity in these countries, brings challenges and opportunities due to the need to increase food production while preserving natural ecosystems.The first part of the study analyzes available data on the use of modern technologies in agriculture. Special attention is given to technologies such as precision agriculture, the use of drones, sensors and software solutions to control the crop production process.The second part of the research is devoted to the analysis of the impact of these technologies on biodiversity. Changes in land use, pesticide application, and water resource management are used to examine how digital transformation affects local ecosystems and biodiversity. Possible positive and negative impacts will be compared, taking into account the protection of wildlife, insects and plants. Based on the analysis, possible strategies for the sustainable use of technologies in agriculture will be explored to minimize negative impacts on biodiversity.

Optimizing the Use of Rice Mills Unit and Bed Drayer Technology Implementing Hygiene and Sanitation Standards to Improve Employee Performance Agricultural Industry

The purpose of the research on optimizing the use of rice mills unit and bed drayer technology and the application of hygiene and sanitation standards to improve employee performance in the rice milling agricultural industry aims to determine the use of agricultural technology and the application of hygiene and sanitation standards to support employee performance in the rice milling agricultural sector. Qualitative research using a literature study approach. Books, journals, research reports, and secondary data to support the research results. The research process begins with the urgency of using technology and implementing sanitary hygiene standards in the agricultural sector that can improve employee performance. The application of hygienic sanitation standards in rice mills is still not optimal, training is needed. That to improve employee performance in a company including in the agricultural industry sector, an employee must be able to master technology properly and correctly in order to achieve the goals of a company. The conceptual framework used as a research topic shows a link in improving performance. Employees as a parameter are given increased competence related to the use of the latest agricultural technology. 

Capacity Building for Farming System Digitalization Using Farming Management System

Agriculture is one of the most important areas of human activity around the world. As the population increases, it is necessary to increase agricultural production. In the age of information technology, information plays a key role in people's lives. Agriculture is rapidly becoming a highly development-intensive industry where farmers need to collect and evaluate a large amount of information in their business processes to become more efficient in production and communicate information accordingly. Modernizing agriculture requires technological know-how for the efficient use of agricultural inputs. It deals with factors such as ecological footprint, product safety, labor welfare, nutritional responsibility, plant/animal health and welfare, economic responsibility and local market presence. They cover almost all stages in the production chain concerning day-to-day agricultural tasks, transactional activities for all stakeholders involved, and support for information transparency in the food chain. The use of information technology and network infrastructure currently enables the application of technology in agricultural business processes, but there is no standardized solution to enable interoperability and integration among services and stakeholders. Farming Management System (FMS) is expected to be a solution and standard in the use of technology in agriculture. Farming management system is a management system specifically designed to assist farmers or farm managers in managing their farming operations more efficiently and effectively. This system usually consists of integrated software and hardware to monitor and collect data from various aspects of agriculture, such as irrigation, fertilization, pesticide spraying, etc.

Influence of the No-till Technology on the Bulk Density of the Calcic Cherrnozem of the Volgograd Region

Background: Technologies for the cultivation of agricultural plants have positive and negative sides. The indisputable positive features of No-till technology include the elimination of the cost of fuel needed for tillage. The negative aspects potentially include an increase in soil density, leading to a deterioration in plant nutrition. This article presents research materials on the impact of crop cultivation technologies on the physical properties of soils. The authors study in detail the issue of changes in the soil bulk density index depending on the applied agricultural technology in comparison with the treated soil as a control. It is important to note that the study of the features of the use of agricultural technologies has a pronounced zonal aspect. The object of study is represented by the soil cover of an agricultural landscape located in the steppe zone of the Volgograd region. The soil cover of the study area is represented by Calcic Cherrnozem. No-till technology has been used in this agricultural landscape for 9 years. Methods: The changes in the soil bulk density index depending on the applied agricultural technique was studied in detail in comparison with the treated soil as a control variant. The study considered three options: a) no-till tillage, b) traditional tillage technology, c) soil covered with natural vegetation. Determination of the density of soil composition was carried out by the cutting ring method. Under field conditions, soil samples were taken from pits and analysis was carried out in laboratory. Result: The results revealed that soil compaction was occurred in no-till technologe. The bulk density of 10-20 cm soil layer was 1.33 g cm3 under no-till? 0.81 g cm3 under traditional technology and 1.14 g cm3 under natural vegetation.

Bundled climate-smart agricultural solutions for smallholder farmers in Sri Lanka

Smallholder farmers are among the most vulnerable to climate shocks in Sri Lanka. Lack of education and technical skills, poverty, risks inherent to agricultural investments, limited assets, and financial capital are major reasons for low investments in enhancing adaptive capacity. The study explores the use of agricultural technologies in improving smallholder resilience to water-related disasters and their opportunities for recovery. We tested four bundled services to promote climate-smart agriculture practices namely weather index insurance (WII), agronomic advisories dissemination via SMS, weather services, and climate-resilient seeds of maize and rice. The integrated solutions are referred to as Bundled Solutions of Index Insurance with Climate Information and Seed Systems (BICSA) to manage agricultural risks in Sri Lanka. The study conducted the bundled solutions in three agroecological regions spread over five districts and covering more than 2,500 farmers in three cropping periods ofMahaandYalaseasons. The results demonstrate that providing bundled solutions significantly protects smallholders against moderate drought events. The satellite-based weather index insurance can offset the long-term consequences of severe yield losses and mitigate the long-term drop in farm productivity. Our findings demonstrate the importance of bundled insurance to mitigate financial risks associated with extreme weather events and enhance resilience to climate change among vulnerable smallholders. It is evident from the study promoting a viable business model among seed companies, insurance companies, and technological partners, along with public institutions such as agricultural extension services can help production-level improvements and develop strategies at both the farm and policy levels that will support a transition to a more resilient farming system.

The Influence of Demographic Factors, Farmer Knowledge, and Motivational Factors on the Adoption of Agricultural Technology Innovation: A Case Study on Dairy Farmers in South Bangka

This study looks into the complex factors that affect dairy producers in South Bangka's use of agricultural technology. Structural Equation Modeling-Partial Least Squares (SEM-PLS) was used to examine the correlations between farmers' knowledge, motivational factors, technology adoption, and demographic characteristics using a sample of 112 farmers. The results highlight the importance of education and adaptability to change by showing a strong positive correlation between demographic characteristics (age, education) and technological adoption. Farmers' knowledge was found to be a crucial element; a substantial positive association suggests that adoption is positively influenced by a deeper understanding of agricultural technologies. Economic incentives and perceived benefits were found to have significant positive connections with technology adoption, indicating the role that perceived benefits play in encouraging the acceptance of new ideas. The model's significant explanatory and predictive ability was validated by the SEM-PLS study, offering a thorough framework for comprehending and improving South Bangka's adoption of technology. The findings highlight the need of a comprehensive strategy that takes into account farmers' goals, experiences, and degree of knowledge in order to promote the adoption of sustainable technologies.

Agricultural Modernization and Social Change in Farming Communities in Arokke Hamlet, Lili Riattang Village, Lappariaja District, Bone Regency

This research aims to (1) describe agricultural modernization in farming communities in Arokke Hamlet, Lili Riattang Village, Lappariaja District, Bone Regency. (2) to describe the impact of agricultural modernization on social changes in farming communities in Arokke Hamlet, Lili Riattang Village, Lappariaja District, Bone Regency. This research uses descriptive qualitative research methods. The data collection process carried out was (1) Observation (2) Interview (3) Documentation. To more easily understand the events being studied, the author uses Talcot Parsons' Functionalism theory approach. The research results show that (1) The development of agricultural modernization in the farming community in Arokke Hamlet, Liliriattang Village is a change in agricultural procedures from traditional to more advanced or modern. Agricultural modernization itself is considered more practical, faster, and makes it easier for farmers to cultivate agricultural land from the process of cultivating rice fields to the harvesting stage. The modernization of agricultural farming in the farming community in Arokke Hamlet, Liliriattang Village is: (a) the values of modernization are the attitude of openness of the farming community towards the changes that occur. (b) agricultural organizations, namely the formation of farmer groups. (c) agricultural technology, based on research results, a form of modernization in agricultural technology is the use of agricultural tools with advanced technology. (d) community knowledge in the use of agricultural technology, agricultural modernization has good potential and opportunities for progress in the agricultural sector, but this potential must be accompanied by knowledge about agricultural modernization so that people are able to manage their agriculture well so that it has an impact on maximum final results. (2) The impact of agricultural modernization on social changes in the farming community in Arokke Hamlet, Liliriattang Village. This research shows that agricultural modernization has brought significant changes to farmers. Changes in the agricultural sector include: (a) an increase in agricultural production. (b) changes in social structure. (c) agricultural modernization also has an impact on the environment. (d) agricultural modernization causes changes in culture and values in society. (e) agricultural modernization has a positive impact on improving the community's economy.

Fertilization rate optimization model for potato crops to maximize yield while reducing polluting nitrogen emissions

Sustainable agriculture plays a crucial role in addressing climate change and pollution. Farmers must strive to strike a balance between increasing production and reducing environmental impacts. In Colombia, the limited use of technology in agriculture often results in a lack of timely and accurate information for decision making, including determining nitrogen fertilizer rates. To address this, we present a fertilization rate optimization model for potato crops aimed at maximizing yield and minimizing nitrogen emissions to the environment for Colombian potato farmers. In a central region of Colombia, four crop zones were identified and their responses to different fertilizers were studied. The optimization model was structured with two main constraints: limiting the total polluting nitrogen emissions (nitrous oxide N2O, ammonia NH3, Runoff, leaching) from applied nitrogenous fertilizer, and limiting the economic investment associated with the cost of the fertilizers. The model allows for analysis of different scenarios. The results indicate that emissions can be reduced by 7.5% through the use of 70.28 fewer kilograms of fertilizer, with only a 0.35% decrease in the final benefit.

Is policy convergence required to improve women’s empowerment in agriculture? Evidence from West Bengal

ABSTRACT Farmers’ use of agricultural technology is necessary for reducing poverty. However, women make up most poor smallholder farmers in India and are generally unable to access relevant opportunities. Tandem to supporting women farmers in technology adoption is increasing their empowerment. While women’s empowerment has been on policy agendas in India for several years, progress has been slow and results are mixed. Using primary data from West Bengal, this study finds that female farmers with access to agricultural technologies will likely have social advantages over those without, but institutional and social support is necessary to facilitate real empowerment and overall development.

Feeding the Future: Achieving Food Security in Malaysia Through Trade Mechanism

Malaysia’s food imports have almost doubled in 10 years, from RM35 billion to RM63 billion in 2021. In total, 26 food items have a self-sufficiency ratio (SSR) of 100% or above, according to the Supply and Utilization Accounts of Selected Agricultural Commodities, Malaysia, from the Department of Statistics (DOSM), but 24 other products still fall short of this mark. Moreover, Malaysia showed progress in the Global Food Security Index (GFSI) in 2021, moving up from the 48th rank (67.9 points) in 2020 to the 41st place (69.9 points) in 2022. Malaysia still has problems with food security, despite these encouraging signs. By employing a desktop research technique and secondary data from papers and publications, this concept paper seeks to investigate the landscape and trajectory of food security in Malaysia from 2017 to 2022. Further analysis is carried out on food security by focusing on the use of trade mechanisms in the four pillars of affordability, availability, quality and safety, sustainability, and adaptation. The analysis found that Malaysia faces several challenges in achieving food security, including increasing dependence on food imports, declining agricultural productivity, and income inequality. However, Malaysia has also made important strides toward enhancing food security, including diversifying its import sources, enhancing accessibility through price regulation, and intensifying its use of agricultural technologies.

The Design and Optimization of an Acoustic and Ambient Sensing AIoT Platform for Agricultural Applications.

The use of technology in agriculture has been gaining significant attention recently. By employing advanced tools and automation and leveraging the latest advancements in the Internet of Things (IoT) and artificial intelligence (AI), the agricultural sector is witnessing improvements in its crop yields and overall efficiency. This paper presents the design and performance analysis of a machine learning (ML) model for agricultural applications involving acoustic sensing. This model is integrated into an efficient Artificial Intelligence of Things (AIoT) platform tailored for agriculture. The model is then used in the design of a communication network architecture and for determining the distribution of the computing load between edge devices and the cloud. The study focuses on the design, analysis, and optimization of AI deployment for reliable classification models in agricultural applications. Both the architectural level and hardware implementation are taken into consideration when designing the radio module and computing unit. Additionally, the study encompasses the design and performance analysis of the hardware used to implement the sensor node specifically developed for sound classification in agricultural applications. The novelty of this work lies in the optimization of the integrated sensor node, which combines the proposed ML model and wireless network, resulting in an agricultural-specific AIoT platform. This co-design enables significant improvements in the performance and efficiency for acoustic and ambient sensing applications.

Strategi Mitigasi Risiko Usahatani Cabai Rawit: Sebuah Pendekatan Berlian Porter

The productivity of cayenne pepper in Jawai District is lower than the productivity of cayenne pepper in South Jawai District, even though both have the same harvested land area. The low productivity of cayenne pepper in Jawai District is due to the high level of risk. This study aims to determine the level of production risk and income risk of cayenne pepper farming in Jawai District and to formulate alternative strategies to reduce farming risk levels. Analysis of the level of risk in agriculture using Coefficient of Variation (CV) analysis and formulation of alternative strategies using SWOT analysis with Porter's Diamond component indicators. The results showed that the risk level of production and income from cayenne pepper farming was 0.61 and 0.75, respectively, or more than 0.5, indicating a high level of risk. An alternative strategy that can be applied by farmers to reduce the level of risk is the WO (Weaknesses-Opportunities) strategy, which includes intensifying cayenne pepper farming, providing counseling to farmers regarding proper farming knowledge and management, conducting counseling related to knowledge of the use of agricultural technology, and extensification by expanding farming land cayenne pepper farming.

A Crossed Analysis of Participations in Labor and Grain Markets: Evidence from Malawi

Abstract This study contributes to the literature on the identification of factors shaping the decision to participate in the grain market in Africa. Unlike previous studies, we introduce labor market participation into the farm household model to highlight heterogeneities in decision making. Empirically, we rely on an extension of Heckman's approach and introduce control functions to mitigate endogeneity issues related to the adoption of agricultural technologies. We find that limited access to transportation infrastructure, by discouraging the supply of grain, constrains households to experience an excess of labor; price incentives may have a reverse effect on the choice of market regimes, even though the effect on production may be positive for households that are already participants. We also show that farmers' responses to grain prices are not sensitive to their labor market position. The use of agricultural technologies encourages cereal production and employment of external agricultural labor. This study thus provides a better targeting when designing policies promoting marketing and rural employment.

Roles of Hormone in Crop Production

The crop production of our country has increased manifold since the sixties by using improved agricultural technology like seeds, fertilizers, agricultural pesticides. At present, special importance is given to gene-technology, hybrid seeds and tissue culture, etc. for crop production. There is a limit to crop production through the use of agricultural technology. Increasing food production for a changing population is a difficult question for today's world. To cope up with such emerging problems use of hormones in crop production are showing very good results.

Impact of Pretrained Deep Neural Networks for Tomato Leaf Disease Prediction

The economic prosperity of a country is highly dependent on agriculture. The use of technology in agriculture has greatly contributed to the economic prosperity of industrialized countries and is crucial for the growth of emerging countries. One major challenge in agriculture is the detection and control of plant diseases, which can greatly affect food production and population well-being. Plant illnesses have a substantial effect on plant productivity and quality. The detection of various types of diseases in plants with bare eyes is time consuming and a difficult task with little precision. Mainly our primary concern is tomato crops. The economic demand for tomatoes has grown dramatically over time. The complicated task of controlling tomato infection requires ongoing care during the crop cycle and consumes a considerable amount of the total cost of production. To classify tomato diseases, we made the use of the pretrained deep neural networks and automation, which are crucial for this method. Digital image processing can be used to monitor plant disease. Deep learning has made remarkable improvements in digital image processing in recent years, surpassing the older techniques. This article identifies tomato leaf disease using a deep convolutional neural network (CNN) and transfer learning. The CNN’s backbone comprises AlexNet, ResNet, VGG-16, and DenseNet. The Adam and RmsProp optimization methods examine these networks’ relative performance, demonstrating that the DenseNet model with the RmsProp optimization approach achieves the most significant outcomes with the best accuracy of 99.9%.

Influencing Factors on Adoption of Modern Agricultural Technology in Developing Economy Countries

The adoption of advanced agricultural technologies is crucial in reducing poverty and improving food security on the developing economy countries. Despite the recognition of its importance, smallholder farmers in developing nations often face obstacles in adopting new technologies, leading to slow uptake. To better understand the factors that impact the use of agricultural technology in these nations, this study seeks to provide insights through a review of previous research on technology adoption. The results of the study highlight several key elements that determine whether or not agricultural technology is adopted, including factors related to the technology itself, the economic situation of farmers, the institutional and organizational affiliations of the farmers, and unique household factors. In order to fully comprehend the complexities involved in the adoption of agricultural technology, future research is recommended to include the perspectives and experiences of farmers. By considering their perceptions of new technologies, the range of factors influencing. The purpose of this paper is to gain a deeper understanding of the challenges faced by smallholder farmers in adopting new technologies and to identify opportunities for improvement. By considering their perceptions of new technologies, the range of factors influencing technology adoption can be broadened, providing a more comprehensive understanding of the subject. Keywords: Agricultural Technology, smallholder farmers, Adoption, developing economy countries, economic situations, household situations. DOI: 10.7176/DCS/13-2-01 Publication date: February 28 th 2023

Evaluation of the application opportunities of precision livestock farming (PLF) for water buffalo (Bubalus bubalis) breeding: SWOT analysis.

The use of technology in agriculture is increasing daily with the development of technology in all areas. With the help of PLF (precision livestock farming) technologies and efficient use of inputs, economic, environmentally friendly, and better-quality products are obtained. Significantly its use in dairy cattle is increasing daily, contributing to sustainable milk production in both economic and ecological terms. As the demand increased in the world for water buffalo meat, milk, and dairy products, different breeding systems have been applied for more and higher-quality production purposes. This way the number of water buffalo farms breeding in intensive conditions is increasing. It is necessary to investigate the possibilities of using PLF technologies, which are still widespread in dairy cattle, in water buffalo breeding, and to benefit from the advanced technology in this regard. This study aims to discuss the applicability of PLF technologies by surveying buffalo breeders. With the data obtained from the survey results made with the water buffalo breeders, the strengths, opportunities, threats, and effects of the weaknesses were discussed with the SWOT analysis.

Developing a prototype centre using agricultural smart sensors to promote agrarian production with technology

This article presents the development of a model center using agricultural intelligent center technology. The goal of this research is 1. To develop a wireless sensor network. 2. To be a source of learning on the use of sensor technology in agriculture. For local and nearby farmers Using the Sufficiency Economy Learning Center, according to King's Science. The Rajamangala University of Technology Suvarnabhumi is a research area. With the problems faced in farming today. It found that the world's climate change whether it's drought. Rains leave ranges and toxic airborne particulate matter caused by farming to match current problem conditions. The researchers then designed a two-part system: 1. Node Moisture Sensor that measures soil moisture and commands the opening – It also controls on-off with a manual switch. Wind speed and wind direction sensors, light intensity sensors, temperature, and humidity sensors, and Particulate Matters Sensor 1.0, 2.5, 10 with environmental reports within the growing area via Wi-F signals to (Sever) Raspberry Pi record real-time data. Every 30 seconds According to research, node moisture sensors can measure soil moisture and record results, and the station measures the environment within the growing area via a Wi-F signal to (Sever) Raspberry Pi. Rainfall values measured by local rainfall sensors measuring up to 35.3 mm are within the threshold of heavy rain. The maximum wind speed measured is 8.5 km/h, the maximum temperature of 35.8 degrees Celsius, and the maximum humidity of 99.9 percent, the light intensity is up to 58,002 Lux, and the Final Particles, with pm 1.0 up to 40.1 microns, PM 2.5 up to 51.3 microns and PM 10 up to 63.5 microns. Apply agriculture to 50 interested farmers after receiving knowledge transfer of smart sensor technology. The expansion has resulted in 3 farmers and will continue to expand in the future. Promote the use of agricultural technology. Intensifying communities and supporting global climate change