Agricultural Technology Innovation Research Articles

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.

Technological innovations in agriculture: Impact on production efficiency

The necessity to meet the food needs of Azerbaijan requires modernisation of the agricultural industry navigating the challenges associated with an innovative mode of progress. This process is accompanied by technical and technological optimisation of most of the production processes in agriculture. The aim of this research was to examine and assess the integration of technological innovations in Azerbaijan’s agricultural sector. The investigation employed fundamental scientific methods, including system analysis, synthetic method, method of abstraction, deductive method, and methods of summarisation, and concretisation. During the investigation, the main objectives of technological modernisation of the agrarian sector were analysed, the dynamics of their impact on the efficiency of production depending on different factors was investigated, measures for optimisation of the situation with regard to the priority of innovative solutions were developed. Additionally, the research explored the potential application of contemporary management and technological strategies to mitigate the adverse environmental effects of agricultural production. This involved integrating environmental safety and economic efficiency through the adoption of cutting-edge innovative technological approaches. Their effectiveness as a viable tool for the transformation of the agrarian sector following the current social and economic requirements for the intensification of its development was determined. Implementing the ecosystem approach and adopting integrated agro-landscape management can pave the way for a renewed development of the agronomy industry in Azerbaijan. The results of this study carry significant practical implications for advancing and modernising the country’s agricultural economy system, contributing to the formulation of targeted programs for technological innovations

Impact of demonstration zone policy on agricultural science and technology innovation: evidence from China

As driving forces in agricultural development, science and technology, along with innovation in agricultural science and technology, are crucial to food security and socioeconomic development. The National Modern Agricultural Demonstration Zone is a major initiative of the Chinese government to promote the modernization of agriculture with Chinese characteristics and aims to improve the level of regional agricultural development through policy guidance and financial support. However, few studies have explored the impact of the National Modern Agricultural Demonstration Zone on agricultural science and technology innovation from a policy perspective. In this context, this study is based on the panel data of 696 regions in China from 2007 to 2017. Difference-in-differences is used to study the impact and mechanism of the National Modern Agricultural Demonstration Zone on agricultural science and technology innovation. The results show that the National Modern Agricultural Demonstration Zone policy can significantly improve the level of agricultural science and technology innovation, and the impact effect is more significant in regions with high fiscal autonomy, western regions, and those with better transportation infrastructure. Mechanism analysis shows that the National Modern Agricultural Demonstration Zone enhances agricultural science and technology innovation mainly through increasing financial resource allocation, improving financial support for agriculture, and increasing human capital. This study evaluates the policy effects, provides theoretical support for the public value of the National Modern Agricultural Demonstration Zone, and offers lessons for agricultural science and technology innovation in similar economies in China and worldwide.

Standardisation of technological innovations in agriculture

Co-regulation involves consulting different stakeholders on the key aspects of a regulatory process. The aim of this explorative study is to examine current challenges of co-regulation drawing on the example of standardization in the context of agricultural innovations and to point out avenues for future research. To this end, we reviewed current literature on co-regulation and compiled interviews with experts from agriculture on the challenges of co-regulation especially in standardization. Four research questions, which we regard as central, could be derived. Two questions deal with the standardization work of technical committees on technological innovations in agriculture, and two questions relate to the agricultural businesses that the standards eventually implement.

Digital inclusive finance, agricultural green technology innovation and agricultural carbon emissions: Impact mechanism and empirical test.

The impact of digital financial inclusion (If) and agricultural technology innovation (Gi) on agricultural carbon emissions has attracted wide attention from the academic community, but the inconsistent conclusions of existing studies and the reality that few studies have gathered them into a framework require more evidence to fill this gap, which can contribute more insights to promoting economic development and controlling carbon emissions. Taking the provincial-level relevant data of China's agriculture from 2011 to 2020 as a sample, the GMM method is used to integrally test the relationship between the three factors. The results show that (1) from 2011 to 2020, China's overall agricultural carbon emissions experienced two stages of fluctuating rise (2011-2015) and continuous decline (2015-2020). In 2015, China's agricultural carbon emissions peaked at 1,040 million tons; Overall, Hunan, Hubei, and Henan were the provinces with the largest agricultural carbon emissions; Beijing, Tianjin, and Shanghai are provinces with relatively low agricultural carbon emissions. (2) Although the impact of digital financial inclusion on agricultural carbon emissions is negative, it is not significant. (3) Agricultural technology innovation promoted the reduction of agricultural carbon emissions. If the level of agricultural technology innovation increased by 1 percentage point, agricultural carbon emissions would decrease by 0.09 percentage points. (4) Mechanism analysis showed that agricultural technology innovation could reduce carbon emissions through the efficiency of agricultural resource allocation, and its effect reached 56%. The results can provide a scientific basis for the government to formulate targeted policies, and the methods can be extended to other places.

The Impact of Agricultural Employment and Technological Innovation on the Environment: Evidence from BRICS Nations Considering a Novel Environmental Sustainability Indicator

This study fills a gap created by previous environmental investigations by including the impact of agricultural employment and technology on the load capacity factor (LCF) rather than solely focusing on CO2 or greenhouse gas (GHG) emissions, which only measure from the demand side; LCF provides a complete picture of environmental degradation by evaluating both the demand side and supply side. This connection is moderated further by considering the renewable energy and natural resource rent impacts. In this analysis, panel econometric methods are incorporated, including the cross-sectional dependence test. This study uses the Pooled Mean Group–Autoregressive Distributed Lag (PMG-ARDL) model to evaluate the level of effect independent factors had on the LCF of the BRICS (Brazil, Russia, India, China, and South Africa) nations from 1992 to 2020 in the presence of a heterogeneous integration order. The estimations recognize heterogeneity in the effects of agricultural employment, renewable energy, natural resource rent, and technology on LCF, in the short run and long run. According to the empirical results, agricultural employment significantly enhances the LCF both in the short run and long run, implying that employment in agriculture improves environmental sustainability. However, increasing the use of renewable energy protects the environment from degradation only in the long run; it has no significant impact in the short run. On the contrary, natural resource rent and technology lead to a decline in environmental sustainability in the long run. Hence, this study recommends prioritizing renewable energy intake over other energies, providing proper incentives to motivate agricultural entrepreneurship to ensure a sustainable environment.

Perancangan Mata Pisau pada Traktor Pemanen Jagung Menggunakan Solidwork

Corn is one of the plants in agriculture that is needed in the lives of people in West Sumatra. Based on data in 2020 the need for corn is in the range of 1.2 million tons. But what can be produced is 939,466 tons. Traditional corn harvesting technology is a problem that causes corn production is not maximized. Corn harvesting tractor is one of the innovations in agricultural technology. The most important unit of the harvesting machine is the blade. The success of the machine in the harvesting process is determined by the shape and strength of the blade. Experimental testing is expensive and time consuming. Therefore, this study examines the design and simulation of blade strength on corn harvesting tractors with Solidwork software. The simulation carried out is a static analytic structural simulation. The simulation results include von-mises stress, displacement and factor of safety. Stress on the crossbar design has a maximum value of 2.168e+07 N/m^2 at the shaft connection and the inside of the bearing, maximum displacement on the side of the blade tip with a value of 1.953e-01 mm and FoS with a value of 5.553e+04. In design S the maximum stress is 2.476e+07 N/m^2, the displacement on the side of the blade tip is 2.199e-01 mm and the FoS is 1.052e+04. Both designs were given the same material AISI 1045, a force load of 87.05 N and a torque load of 41.5 Nm. The design that is suitable for use is the S shape design based on the results of the simulation and the shape that is more suitable for the harvesting process.

Study of socio economic approach patterns in the application of agricultural technology innovation for shallot commodities, Brebes Regency, Central Java Province

Support for socio-economic studies is needed in the application and development of agricultural technology innovations so that the feasibility of a technology that will be introduced to users can be known. The purpose of the writing is to determine the pattern of the socio-economic study approach in the application and development of agricultural technology innovations for shallot commodities in Brebes Regency, Central Java Province. The assessment was conducted using primary data by collecting data from questionnaires that were compiled and analyzed against each indicator. Data analysis is carried out simply based on the percentage of respondents’ opinions on predetermined indicators and is complemented by secondary data that is analyzed qualitatively using the Desk Research Method. By knowing the pattern of the socio-economic approach of shallot commodities, it is concluded that agricultural technology innovations have been felt by farmers in terms of increased production (9 tons/ha), increasing farmers’ incomes (IDR 153,000,000), and farmers’ ability to apply technological innovations increased (IFE scores of 3.65 and EFE 3.83).

Modeling and Forecasting of Production an Agricultural Product

Purpose: The purpose of the research is to analyze the dynamics of agricultural production, to determine the effect of different parameters on the result of production with the help of an econometric model, and to enforce production forecasting. Methods: The data of the Statistical Committee of the Azerbaijan Republic for the last 15 years were used in the research. According to the obtained data, using the EXSEL software package, the dependence between the production of agricultural products and affecting factors was determined with the help of economic-mathematical methods, and the expected change tendency of production was defined with the help of programming methods. Results: Increasing the production of agricultural products is currently maintaining its relevance both in terms of meeting the necessary raw material needs of the country, as well as solving the food problem and eliminating dependence on imports. Possible prospects for solving these problems require the application of innovative agricultural technologies to production, effective use of fertilizers, land, human resources and investments, taking into account the factors affecting production. Optimizing the mentioned factors leads to the achievement of high productivity, which is the basis of production growth, ensuring the most complete use of resource potential in agriculture. From this point of view, the modeling of production through economic-mathematical methods is possible to determine the quantitative relationship between product production and the factors affecting it, to optimize and predict the use of resources based on the obtained production function. Conclusion: It gives an opportunity to evaluate the effect of those factors on the dynamics of production in quantitative terms by comprehensively investigating the factors affecting production in agriculture, which is considered quite a risky field. At the same time, the methodology utilized provides a foundation for figuring out more effective methods of using production resources, allowing for the prediction of future changes that might take place in production.

Utilization of semi-intensive irrigated paddy fields and increasing farmers income on cropping patterns in support of ip400 technology in Central Sulawesi

Based on the agro-ecosystem and suitability of paddy fields, rice fields have high potential and opportunities to be developed in Central Sulawesi Province, but sometimes the yield is still below the average production. This research has been conducted from May 2021 to June 2022. The research location is Kaleke Village, West Dolo District, Sigi Regency, Central Sulawesi. This study aims to increase the Crop Index and harvested area to increase the production and income of farmers as well as the performance of farmer groups. Research on cropping patterns and alternation of varieties with Rice – Corn – Corn – Rice Cropping Patterns. The treatment area of 1 ha with the planting system used is: for each commodity using components, PTT Paddy rice PTT corn. While the feasibility of farming with an income analysis approach with an R/C ratio. The results showed that: (a) The design of agricultural technology innovations to increase the cropping index of rice crops with MT I results showed the production component of the Inpari 33 variety of rice tiles. R/C Ratio 2.11, on MT. II Jakarin variety corn with a yield of 5.0 tons/ha. R/C Ratio: 2.04, maize variety Sukmaraga MT.III average yield 6.3 tons with R/C Ratio: 2.01 and MT. IV rice variety Inpari 36 with a yield of 5 tons/ha GKP R/C Ratio: 1.59(c) Increasing the Crop Index and harvested area can increase farmers’ income and the performance of farmer groups on technology supporting IP400.

The Impact of Environmental Regulation on Cultivated Land Use Eco-Efficiency: Evidence from China

In the context of tightening resource and environmental constraints, quantitative measurement and influencing factors of cultivated land use eco-efficiency (CLUE) have become hot topics in current academic research. Existing studies primarily focus on the influence of natural, social, and economic factors on CLUE but ignore exploring the impact mechanism and effect of environmental policies on CLUE. Therefore, this study aims to explore the impact of environmental regulations on CLUE. To achieve this objective, a super-efficiency slack-based measure (super-SBM) model is used to calculate the CLUE for 31 provinces (municipalities and autonomous regions) in China from 2000 to 2009. Additionally, the intermediary effect model and the threshold effect model are used to empirically investigate the transmission mechanism and nonlinear characteristics between environmental regulation and the CLUE. The results show that: (1) the temporal dynamics of CLUE exhibit a pattern of initial fluctuating decline followed by gradual growth in China as a whole and across its eastern, central, and western regions. (2) Environmental regulation has a significant negative impact on CLUE, and the effect exhibits a nonlinear characteristic of decreasing marginal effects. (3) Agricultural technological innovation and agricultural industrial structure play a mediating role between environmental regulation and CLUE, reducing the negative impact of environmental regulation on CLUE. This study provides some implications for formulating scientifically sound environmental policies to optimize land use and enhance resource utilization efficiency.

A survey of information on adoption and continued use of agricultural technology innovations among smallholder crop farmers in Benue state Nigeria

This work aims at determining the factors that shape adoption and continued use of agricultural technology innovations by smallholder crop farmers in Benue State Nigeria. A structured interview schedule was used to collect relevant data. Method of analysis involves frequency counts and percentages. The result shows that factors relating to propensity to adopt are education, land size, access to credit, access to extension services and cost of innovation among others while the same factors apply for continued use of agricultural innovation except land size and gender. The extent of adoption of high yielding variety of crops, disease resistant varieties, and equipment for spraying, chemical fertilizer, pesticide, fungicide, insecticide and herbicide were very high. The extent of support on agricultural technology innovation was very poor. It is recommended that need assessment surveys be carried out before the introduction of agricultural technology innovation to guarantee adoption and continued use.

Bibliometric Analysis of the Adoption and Innovation of Agricultural Processing Technologies: A Global Perspective

The adoption and innovation of agricultural processing technology play a vital role in ensuring food security, sustainability, and competitiveness in the agricultural sector. This research presents a comprehensive bibliometric analysis of academic literature on agricultural processing technology adoption and innovation from a global perspective. The study aims to identify key research trends, influential authors, major research themes, and emerging areas of interest in this domain. The dataset was collected from reputable scholarly databases, and VOSviewer analysis was used to visualize co-authorship networks, keyword clusters, and citation impact maps. The results revealed seven distinct clusters of research themes, including agricultural enterprise and innovation policy, market competitiveness, quality of food processing technology, technology innovation for rural development, sustainable development, technology transfer, big data in agriculture, and agribusiness and innovation technology. Moreover, ten highly cited research papers were identified, signifying their significant impact on the field. The findings offer valuable insights for policymakers, researchers, and industry stakeholders to enhance agricultural productivity, promote sustainable practices, and foster technology-driven innovations for a resilient global food system.

National Agricultural Science and Technology Parks in China: Distribution Characteristics, Innovation Efficiency, and Influencing Factors

This study aims to analyze the spatial distribution characteristics and innovation efficiency of national agricultural science and technology parks (NASTPs) and identify the main influencing factors on the parks’ innovation and development. The goal is to optimize the allocation of science and technology innovation resources in these parks, promote national agricultural science and technology innovation, and enhance the quality of agricultural development. To achieve this, the paper employs spatial analysis methods and a three-stage DEA-Tobit model to conduct both macro and micro-level analyses. The research findings are as follows: (1) Distribution characteristics: NASTPs tend to exhibit a uniform distribution at the national scale, but at the provincial level, their distribution appears clustered and uneven. Specifically, three high-density areas and two sub-high-density areas have emerged on the eastern side of the Hu line, displaying a decreasing trend from east to west. (2) Innovation efficiency: By excluding the influence of environmental factors and random interference, the lack of scale efficiency (SE) emerges as the primary reason for the generally low innovation efficiency of NASTPs. (3) Environmental factors: Science and technology training exhibits a negative correlation with innovation efficiency in NASTPs. Leading enterprises, income level, innovation support, and demonstration and promotion show positive correlations with IE in NASTPs. To promote national agricultural science and technology innovation and enhance the quality of agricultural development, it is recommended, based on a central-level development perspective, to focus on the layout of the northeast and northwest regions. At the local level, expanding the scale of key enterprise inputs and increasing the demonstration and promotion of scientific and technological achievements are recommended. Additionally, at the NASTPs level, guiding the construction of a national agricultural high-tech industry demonstration zone is advised.

Can Digital Finance Improve China’s Agricultural Green Total Factor Productivity?

The improvement of agricultural green total factor productivity (AGTFP) is crucial to achieve sustainable agricultural development. By matching China’s provincial digital financial inclusion index and agricultural production data from 2011 to 2020, and on the basis of using the DEA–Malmquist productivity index to measure AGTFP, the fixed effect model and Mesomeric effect model are used to empirically test the impact and mechanism of digital financial development on China’s AGTFP. Our research found that from 2011 to 2020, China experienced consistent improvement in AGTFP, which was largely attributed to advancements in technology. Interestingly, the AGTFP in non-major grain-producing areas surpassed that in major grain producing areas. Additionally, digital finance has proven to be an effective tool in boosting China’s AGTFP, the coverage subdimension, the depth of use subdimension and the digitization subdimension all significantly promote the AGTFP. Digital finance can significantly promote the efficiency and progress of agricultural green technology, which shows that digital finance promotes AGTFP in a “dual wheel” driven manner. However, the impact of digital finance on agricultural green technology efficiency and progress is more pronounced in major grain-producing areas than in non-major areas. The impact mechanism demonstrates that digital finance has the potential to stimulate AGTFP in two key ways. First, it can improve the mismatch of agricultural production resources; second, it can promote agricultural technology innovation. Therefore, it is necessary to further promote the rapid development of digital finance, optimize the rational allocation of financial resources, and formulate tailored digital finance development strategies to promote green development of agriculture.

Information acquisition and the adoption of improved crop varieties

AbstractInadequate information on the benefits of and knowledge about innovative agricultural technologies continue to be a major constraint to technology adoption among smallholder farmers in developing countries. The low adoption of new technologies is one of the causes of low productivity and high poverty incidence among smallholder farmers, particularly in Africa. In this paper, I briefly review the literature on social networks and technology diffusion, and argue that the diffusion potential of social networks is underexplored. I then present results from two empirical studies on the impact of social networks on the adoption of improved crop varieties in Ghana and Ethiopia. The results reveal that farmers' peer adoption decisions and experiences, as well as information from trained development agents positively and statistically influence their adoption decisions. I also find that network structural characteristics such as lower segmentation within networks, high credibility of the information, and high effectiveness and efficiency of the amount of information flow tend to improve information acquisition and speed up diffusion of improved crop varieties.

Visitor Perception of the Agricultural Research and Assessment Installation (IP2TP) in Samboja Case Study: Visits by Students from the State Polytechnic of Samarinda

The study aimed to investigate the perception of visitors towards the Agricultural Research and Assessment Installation (IP2TP) in Samboja, with a specific focus on visits by students from the State Polytechnic of Samarinda. IP2TP Samboja serves as a testing ground for various agricultural technological innovations developed by the Agricultural Research and Development Agency (Badan Penelitian dan Pengembangan Pertanian). Additionally, it provides a learning platform for agricultural students, allowing them to engage in fieldwork activities and gain firsthand knowledge of the innovative technologies employed. A descriptive analysis method was employed, utilizing surveys to collect data. The respondents consisted of 80 randomly selected students from the State Polytechnic of Samarinda (Politeknik Pertanian / Politani) who had participated in visits to IP2TP Samboja. The findings of the study indicated that visitor perception of IP2TP Samboja was influenced by factors such as the visitors' educational background and their level of interest in specific agricultural commodities.

Impact of Economic Policy Uncertainty on Agribusiness Technology Innovation: Evidence from 231 Listed Firms in China

The role of enterprise technological innovation in driving high-quality economic development has become increasingly prominent in a dynamic environment of uncertainty. This study examines the impact of economic policy uncertainty on enterprise technological innovation and its mechanism of action using panel data of agricultural listed firms in China 2007–2021. We obtain the following results. (1) Economic policy uncertainty significantly promotes technological innovation in agricultural firms, and this finding holds under various robustness checks, and works mainly through two paths: tightening financial flexibility and highlighting managerial capabilities. (2) From the heterogeneity results, the incentive effect of economic policy uncertainty on technological innovation in agricultural firms is more pronounced in state-owned agricultural firms, basic agricultural firms, and high adjustment cost agricultural firms. (3) Government subsidies strengthen the role of economic policy uncertainty in promoting technological innovation in agricultural firms. The results of this study provide data support for agricultural firms technology innovation decisions and have important implications for the guidance of national economic policy formulation.

Big Food Vision and Food Security in China

Objective: The objective of this paper is to identify the key policy and strategic issues that need to be addressed to ensure national food security by using the big food vision. Design/methodology/approach: Based on China’s specific national and agricultural characteristics, this paper discusses the current challenges and opportunities facing China’s food security and identifies the key policy and strategic issues that should be addressed to ensure food security in China using the big food vision. Findings: Food supply in China has been significantly improved, and the food consumption has been significantly changed, but China still faces with multiple challenges, such increasingly unbalanced diets, unsustainable use of land and water resources, mismatch between supply and demand, and increased volatility in international trade environment. To ensure China’s food security, China should focus on the following four aspects:(i) strengthening the support of agricultural scientific and technological innovation; (ii) reforming policy and institutions;(iii) nudging consumer behavior change; and (iv) fully utilizing international trade and cooperation.

Five improved sesame reference genomes and genome resequencing unveil the contribution of structural variants to genetic diversity and yield-related traits variation.

Five improved sesame reference genomes and genome resequencing unveil the contribution of structural variants to genetic diversity and yield-related traits variation.