Agricultural Training Research Articles

Smart technology-based microclimate control system for greenhouse

This study proposes an agricultural management system designed to enhance productivity by leveraging artificial intelligence and Internet of Things (IoT) technologies. It addresses the complex microclimate conditions within greenhouses by integrating microcontrollers and sensors to monitor parameters such as temperature, humidity, and soil moisture, enabling precise environmental management. Web and mobile applications provide interactive interfaces, allowing users to monitor real-time factors influencing the greenhouse environment. The system can execute actions like activating fans or irrigation pumps based on user inputs or predefined settings. In addition to improving yields, the system aims to create a dataset that can be used for assessing the effectiveness of future machine learning models. Important considerations include data privacy, training farmers to effectively use the technology, and integrating the system with traditional farming practices, thereby enhancing sustainability. Overall, this study aspires to continuously improve agricultural practices by combining modern technology with traditional knowledge, ultimately aiming for a more efficient and sustainable agricultural landscape.

Comparative Economics of Open and Protected Tomato Farming in Mid-Hill Zone of Himachal Pradesh

The study analyzed the comparative economics and profitability of tomato cultivation in the mid-hill zone of Himachal Pradesh under both open and protected conditions. The cost of cultivation for 100 m² was higher under protected conditions (?8,678.18) compared to open conditions (?1,358.87). Similarly, gross and net returns were significantly higher under protected cultivation (?22,686 and 14,007.82) than under open cultivation (?3,794.05 and 2,435.19). The break-even point for protected cultivation (?6,258.92) was also considerably higher than for open cultivation (?221.24). The margin of safety for protected cultivation was ?16,427.08 (27.59 per cent), compared to ?3,573.84 (5.82 per cent) for open cultivation. The study recommended promoting modern techniques and providing regular training for polyhouse farmers, given the capital-intensive nature of protected cultivation.

Optimization of Long Line Management in Seaweed Farming: Strategies for Increasing Farmers' Group Income in Pinrang Regency, Indonesia

This research aims to explore the role of the long-line method in increasing the income of seaweed farmers in Pinrang Regency, South Sulawesi, Indonesia, while examining the challenges they face and the strategies they employ to overcome them. The study employs a qualitative case study approach, involving 15 seaweed farmers from various coastal villages within Pinrang Regency, representing diverse demographic backgrounds and experiences. Data collection was conducted through semi-structured interviews, allowing for an in-depth understanding of the participants' farming practices and challenges. The findings indicate that seaweed farmers increase their income by optimizing resources, collaborating within farmer groups, and adapting to environmental and market changes. Strategies such as space optimization, material reuse, and knowledge sharing among farming communities significantly enhance productivity and sustainability. Furthermore, farmers employ adaptive techniques to mitigate environmental risks and market volatility, including using durable materials and processing seaweed into higher-value products. The implications of these findings are crucial for policymakers and development organizations, as they highlight the potential of sustainable farming practices in improving the livelihoods of coastal communities. Policymakers are encouraged to develop support programs that promote resource optimization, foster community-driven farming networks, and train farmers in adaptive strategies. However, the study's limitations, including the small sample size and reliance on self-reported data, may affect the generalizability of the results. Future research should incorporate larger, more diverse samples and objective measures to enhance the robustness of the findings, and explore the long-term impacts of the long-line method on income and sustainability.

Spatial Distribution and Disease Incidence of Guava Wilt Village Survey Across Prayagraj and Kaushambi, Uttar Pradesh, India

A comprehensive roving survey was conducted in the Prayagraj and Kaushambi districts of Uttar Pradesh, India, both prominent guava-producing regions. The survey, which included 30 villages, revealed widespread guava wilt with incidence rates ranging from 19.04% to 37.93%, averaging 30.19% across the region. Three forms of wilt these are quick, slow, and partial were identified. Kaushambi district had a higher incidence rate (31.56%) compared to Prayagraj district (28.82%). Indarapur village in Kaushambi recorded the highest wilt incidence (37.93%). The survey also found that 66.67% of farmers lacked formal training in guava cultivation, contributing to poor disease management. Guava wilt was most prevalent in older orchards (10+ years) and primarily affected the Allahabad Safeda variety, which had the highest wilt incidence (33.64%). In contrast, the Pant Prabhat variety exhibited the lowest wilt incidence (22.95%). The causal pathogen, Fusarium oxysporum f. sp. psidii, was isolated from diseased plants. Three fungal isolates displayed variations in colony morphology, growth, and sporulation. Microconidia were non-septate and kidney-shaped, while macroconidia were thin- walled and typically 2-3 septate. Two isolates also produced chlamydospores. This study highlights the need for enhanced farmer training and the potential for cultivating wilt-tolerant varieties to mitigate the spread of the disease in the region.

A SURVEY REGARDING MANGO FRUIT BORER INFESTATION IN MANGO ORCHARDS OF PUNJAB PAKISTAN

Mango is an important tropical fruit crop grown in most parts of the world including India, Pakistan, China, Bangladesh, Burma, Thailand, Japan, New Zealand, Australia, Indonesia, Africa, Brazil, Mexico and some US states. Mangan o is an important fruit crop for Pakistan due to its delicious taste, rich in vitamins A and C-and high-income returns to mango growers. However, in recent years a new pest problem mango fruit borer extensively damaged mango fruit crop in all mango growing districts of Punjab and Sindh. This insect was previously not even recognized as an important pest of mangoes in Pakistan among farmers and the scientific community, however since 2017, very serious complaints have been received from mango orchard owners regarding damage caused by MFB in the fruit clusters. Hence a survey was conducted in four districts of Punjab Pakistan viz., Multan, Muzaffargarh, Khanewal, and Rahim Yar Khan. About 145 mango growers were randomly chosen for interviews to learn about farmer perceptions and management of mango fruit borer. A series of open-ended and closed-ended questions were asked. Data was analyzed through the Chi-square test using Statistix 8.1 software. Farmers were asked various questions regarding farmers' identification of MFB stages and the nature of the damage, varietal preference of MFB, resting or hibernating places of the pest, insecticides used to control the pest, weeds as the reservoir of the pest and many more. Overall, most of the farmers were primarily qualified, males and had orchard sizes of 2 to 10 acres. Farmers reported that Sindhri was mostly affected by variety. Farmers used insecticides to control the pest menace and achieved around 40-80 % control. The knowledge about species recognition was very low among farmers. Based on this survey, we recommend farmer training programs regarding pest management, enhancing awareness among farmers regarding pest attacks, pest scouting, pest recognition and incorporation of cultural control techniques along with insecticides as a necessary part of pest management should be explained.

Interrelationship Between Emergence and Yield Parameters in Mung Bean: Implication for Selection

Abstract Rapid and uniform seed germination and seedling emergence have been associated with grain yield under diverse environmental conditions. Twenty-one (21) mung bean accessions were evaluated at Ile-Ife and Kishi out-stations of the Institute of Agricultural Research and Training (IAR & T), Nigeria, to identify the emergence parameter(s) that could be selected for improvement of mung bean for yield. The experiment was laid out in a randomized complete block design (RCBD) in three replications. Data were collected on emergence and yield parameters and analysed using the Statistical Analysis Software (SAS). Mean, heritability, and correlation coefficient were estimated. Path coefficient analysis was used to partition correlations into direct and indirect effects using seed yield as the dependent variable. Heritability estimate was moderate to high for most of the traits. Accessions 3, 6, 14 and 15 with high pod and seed yield had also high values of coefficient of velocity of emergence (CVE) and emergence percentage (E%). All emergence parameters except emergence energy had significant correlation with yield traits. CVE and Emergence Index (EI) had strong positive correlation with number of seeds.pod-1 and pod yield. When only the emergence parameters were considered, CVE had highest direct effect (0.74) on seed yield followed by E% (-0.73) and EI (0.70). Total indirect effects of EI and CVE accounted for only 6.06% and 11.9% of the total correlation, respectively. It therefore suggests that EI and CVE are emergence parameters that could be selected for at early stage in improvement of mung bean for yield.

The Role of Agricultural Inputs on Crop Productivity: The Case of Zigam Woreda

In spite of the importance of agriculture in Ethiopia, it is characterized by low productivity and has been unable to produce sufficient quantities of output to feed the country’s population. In light of this various development strategies has been undertaken to improve the performance of agriculture. Intensification of agriculture through the use of new agricultural technologies has been emphasized over the last three decades. This study attempted to examine the contribution of agricultural input for crop productivity. The data for the study was collected from 91 sample farmers. This study was the study used both primary and secondary data. In this study researcher was used simple random sampling techniques. This research was use cross sectional approach and econometric method of data analysis to investigate the role of age, sex, land size, labor force, fertilizer, improved seed, extension service, and access to credit, education level and pesticides for crop production by collecting data from the household. In econometric method of data analysis researcher was used ordinary least square (OLS) Model. The econometric result show that land size, labor force, improved seed, fertilizer, credit service, extension service and education level have positive and significant effect on crop production. However, pesticide has a negative and significant impact on crop production. From the explanatory variables, education level has a higher coefficient. This indicates education level is more significant for crop production. According regression result <i>R</i><sup><i>2</i></sup> is 0.97, which implies 97% of output function is explained by the selected ten (10) explanatory variables. The policy implication is that to reduce farmers resistant to use farm inputs and to create knowledge about the optimal input use educate and training of farmers is necessary.

Peningkatan Kapasitas Petani Melalui Pelatihan Pemupukan Tanaman Padi di Provinsi Sumatera Utara

To increase farmers knowledge and skills in managing rice fertilization, the government and related institutions have implemented various fertilizer training programs. This research aims to evaluate the effectiveness of rice fertilizer training in increasing the capacity of farmers in North Sumatra Province. This research was carried out at UPT. Agricultural Training and Mechanization for the Food Security, Food Crops, and Horticulture Service of North Sumatra Province on February 20–23, 2024. This research was carried out on 30 training participants from 12 districts in North Sumatra. The data collected consists of primary data consisting of respondent characteristics and pre-test and post-test results. The data were analyzed with the Minitab applications of tware using non-parametric statistical analysis, namely the Wilcoxon Match Pairs Test with a significance level of 0.05. The increase in knowledge of farmers who took part in rice fertilization training was 32.2%. In general, attitudes and responses are classified as high, namely the benefits of the material provided are 100%, the ease of the material to be appliedis 100%, the excessprofits obtained in applying the material are 100%, the suitability of the material with farming needsis 100%, liking orinterest in the material provided was 100%, the desire to apply the material provided was 83.3%, and the plan to implement the material provided was 80%. Keywords: training, pretest, posttest, fertilizing rice plants

Incidence of agroecological-based practices in urban vegetable gardens: effect on crop diversity and production levels

ABSTRACT Agroecological-based practices (ABPs) play a vital role in urban vegetable gardens, enhancing the quality of life. However, factors driving ABP implementation and their impact on crop production and diversity are not fully understood. Our study assessed the influence of socio-economic and environmental characteristics on ABP adoption, crop diversity, and total weight vegetable production in San Carlos de Bariloche, Argentina. Through interviews and a multi-model inference approach, we found that ABP implementation is tied to gardener experience and formative assets (e.g. horticultural experience, specific training). Crop diversity, integral to ABP, is affected by farming practices and farmer characteristics (Farm animals, Pollinator-friendly practices, Experience, Additional training and Environmental knowledge). The Total weight produced was primarily influenced by the type of garden, the gardener’s experience and some ABPs. Long-standing commercial and community objectives and the use of farm animals and commercial seed led to greater production. Strengthening key drivers, such as farmer training, through public policies (e.g. income generation, financing, specific training, land access) can bolster the role of urban gardens in providing a healthy environment and promoting food sovereignty.

Determinants of profit among maize farmers in Osogbo ADP zone of Osun State, Nigeria

Maize output in Nigeria is declining and worsening economic situations continue to afflict rural households increasing the level of food insecurity. This study examined the determinants of profit among maize farmers in Osogbo ADP zone of Osun State, Nigeria. Primary data were sourced using a well-structured questionnaire from a total of 120 maize farmers. A two-stage sampling procedure was employed to select the farmers. The analytical tools used were descriptive statistics, farm budgetary techniques and regression analysis. The results showed that maize cultivation was dominated by male farmers with an average age of 50 ± 9.4 years. Additionally, less than 30.8% of the maize farmers had formal education above secondary school. The farming experience of the maize farmers was 14.7 ± 5.3 years and the average farm size was estimated at 7.85 ± 2.15 acres. The average farm income was N207 314.40 ± 23 290.95 with the Benefit-Cost Ratio (BCR) of 2.24. The major constraints of maize production, ranked based on their higher values of WMS, were the high labour costs, expenditures for pest and disease control, and the high costs of fertilizers The determinants of farm income that had positive relationship and were significant at 1% level of significance include years of formal education, expenditure on fertilizer while age of the framers negatively influenced the farm income. Also, the farm size and years of farming experience were positive and statistically significant to farm income at 5%. The study suggests a policy focus of training farmers in modern farming system and implement sustainable farm inputs subsidy programs. Keywords: determinants, profit, maize, farmers, Nigeria

Growth Rate and Production of Hybrid and Local Maize (Zea Mays L.) in Response to Various Doses of Nitrogen Fertilization

Corn (Zea mays L.) is a strategic commodity after rice so that the productivity need to be optimize through nitrogen fertilization. The aim of this research is to evaluate the effect of various doses of urea fertilizer on the growth rate and yield of hybrid corn and local corn. This research was conducted from June to October 2022 on the pilot land of the Agricultural Training Center (Bapeltan), Hajimena, Bandar Lampung. The factorial experiment (5x2) was arranged in a randomized complete block design with 3 replications. The first factor is urea fertilizer doses, namely: 200 kg/ha (N1), 250 kg/ha (N2), 300 kg/ha (N3), 350 kg/ha (N4) and 400 kg/ha (N5), while other fertilizers were given to all experimental plots in the same rate (150 SP-36 kg/ha and 100 kg KCl kg/ha). The second factor is the corn variety, included V1 (BISI-18) and V2 (Tongkol Merah) varieties. The results showed that increasing dose of urea from 200 to 400 kg/ha was not able to increase the growth rate of both corn varieties. The productivity of the BISI-18 corn variety is higher than that of the Tongkol Merah as indicated by the wet weight of the cobs (g), the dry weight of grains per plot (g), and the yield of corn dry grains (tons/ha). The yield of dry corn seeds for the BISI-18 corn variety was 11.7 tons/ha, while for the Tongkol Merah variety was 9.44 tons/ha. Keywords: Fertilizer dosage, Hybrid corn, Local corn, Nitrogen use efficiency, Yield.

Erratum: Improving the Training of Frontline Extension Workers in Tanzania: A Pilot Curriculum Reform Initiative with the Ministry of Agriculture Training Institute at Ilonga

Erratum: Improving the Training of Frontline Extension Workers in Tanzania: A Pilot Curriculum Reform Initiative with the Ministry of Agriculture Training Institute at Ilonga

Opportunities and Challenges on Natural Farming

Natural Farming, an ecological and sustainable agricultural practice, emphasizes minimal human intervention and the use of natural resources for crop cultivation. Unlike conventional farming, which relies heavily on chemical inputs, Natural Farming integrates practices such as minimal tillage and organic inputs like cow dung and plant-based preparations. This case study explores Natural Farming practices among farmers in Tamil Nadu, focusing on their experiences, opportunities, and challenges. The study includes detailed case studies of three farmers in Coimbatore District and each farmer employing different natural farming techniques and facing unique obstacles. The findings reveal that Natural Farming offers significant benefits, including reduced farming costs, improved soil health, and enhanced market opportunities for organic produce. Farmers reported that these practices lead to better crop resilience and higher-quality produce, often fetching premium prices. However, challenges persist, including difficulties in weed control, pest and disease management, labor shortages, and delay in certification, which can affect market access and profitability. The study underscores the potential of Natural Farming to transform agricultural practices by promoting sustainability and reducing dependence on chemical inputs. It also highlights the need for supportive interventions, such as enhanced market access, comprehensive farmer training, and government support to address the identified challenges and maximize the benefits of Natural Farming. This study contributes to a deeper understanding of Natural Farming's role in sustainable agriculture and its implications for farmers in Tamil Nadu.

Synergistic effect of climatic and non-climatic factors on food security in Syria: an autoregressive distributed lag approach

ABSTRACT Food security has always been the main goal of Syrian agricultural strategy. Therefore, the main objective of this study is to examine the dynamic relationship between selected climatic and non-climatic variables and food security in Syria from 1961 to 2018. The autoregressive distributed lag (ARDL) bounds testing approach is applied to estimate the association among the study variables with evidence of long-run and short-run analysis. The long-run estimates revealed that non-climatic variables including crop production, agricultural land, land under cereal production, and population, positively affected food security. Moreover, climatic variables including temperature and CO2 emissions positively affected food security in the long-run. The findings revealed that in the short-run, fertilizer affected food security positively. However, in the long run, the effect of fertilizer consumption turned out to be negative and significant. This study suggests that governments may consider measures to improve food security in Syria. Governments should focus on the issue of using climate-adapted plant varieties. Increasing the area under cereal crops and reducing agricultural land degradation could be an important long-term strategy for the government. There is a need to properly train farmers regarding fertilizer usage and switch from chemical fertilizer to organic fertilizer.

Analysis of Factors Affecting Participation of Smallholder Farmers in Wheat Cluster Farming: The Case of Gasera District, Bale Zone, Oromia Region, Ethiopia

Agriculture is the main means of livelihood in Africa. Wheat is one of the globally produced and marketed cereal crops which cover 15% of the total sowing areas of cereal crops in the world. This study focused on the analysis of factors affecting smallholder farmer’s participation in wheat cluster farming in Gasera District of Bale zone. A multi-stage sampling method was employed for this study. Simple random sampling technique was used to select 259 sample respondents in three selected Kebeles out of 24 total kebeles in the woreda. Primary data sources were generated using an interview schedule, five Focus Group Discussions, and eight key informant interviews. Besides, secondary data were obtained from literature and the Woreda Agricultural Office. Both descriptive statistics and econometric models were employed to analyze the collected data. The descriptive statistics results showed that from the total sampled households, 169 (65.3%) were participant and, 90 (34.7%) were non-participant smallholder farmers of wheat cluster farming technology. According to the probit regression model, education status, wheat land, livestock size, frequency of extension contact, credit access, availability of fair price, market information, agricultural input access, training access and membership in a cooperative had a positive influence on farmers’ decisions to participate in wheat cluster farming. Therefore, the local community, Woreda Agriculture Office and research institutes need to expand cluster farming technology to increase wheat production and policies aiming at increasing farmers’ awareness of producing wheat in cluster to increase yield of farmers.

Determinants of commercialization among onion producer households in southern Ethiopia: a double hurdle approach

This study examined the determinants of onion commercialization of smallholder farmers in the Wolayita and Gomo zones of southern Ethiopia. Both primary and secondary data were used in this study. Primary data were collected from randomly selected 160 onion producers by using a structured questionnaire. Both descriptive statistics and the double-hurdle econometric model were employed in the analysis. The descriptive statistics indicated that the mean commercialization level of smallholder farmers in the study area was 79.51%, highlighting that onion producers in this region primarily focus on marketing their produce. Using the econometric model the first-stage double hurdle results revealed that family size, farming experience, frequency of extension contacts, and distance to the nearest market were factors significantly affecting the market participation decision of onion producers. The second stage of the double hurdle results indicates that education level, family size, frequency of extension contacts, land size allotted for onion production, and distance to the nearest market were factors that significantly affected the level of onion commercialization. Therefore, policies aimed at increasing farmers' access to better road networks and transportation facilities, improving access to education, promoting agricultural training programs, and improving extension services are recommended to improve the commercialization of onion production.

Effect of Entrepreneurship Skills Training on Agricultural Production

This study examines the impact of entrepreneurship skills training on agricultural productivity among small-holder coffee farmers in Kenya. Entrepreneurship in coffee farming involves innovation, effective resource management, risk-taking, and market adaptation—all essential for the entrepreneurial process. Given the critical role of coffee farming in Kenya's economy and the challenges faced by small-holder farmers, this research explores how entrepreneurial skills can enhance productivity and sustainability. A mixed-method approach was employed, with data collected from 12,000 farmers using questionnaires. A sample size of 387 was determined using Yamane's formula, and stratified random sampling was applied across 17 factories. Data analysis was conducted using SPSS software. The results indicate that training in business planning, technology, financial management, and leadership significantly improves coffee farming performance. The study concludes that ineffective entrepreneurship training is closely linked to poor performance in coffee farming. It recommends that the government, through the ministries of agriculture and co-operatives, prioritize entrepreneurship training for small-holder coffee farmers to enhance productivity. These findings can guide future interventions aimed at reviving the coffee industry and ensuring its sustainability in Kenya.

Webometric analysis of the visibility, reach and impact of food science research publications: institute of agricultural research and training, ibadan (1972-2023)

This study evaluated the visibility, reach and impact of Food Science research publications from the Institute of Agricultural Research and Training (IAR&T) in Ibadan, Nigeria, over the period 1972-2023. Utilizing webometric analysis, data were collected from Google Scholar, Research Gate, and Scopus, focusing on citation metrics, article counts, and online engagement. A total of 745 scholarly articles across various food science disciplines, including Food Microbiology, Human Nutrition, Meat Science, Nutritional Biochemistry, and Food Science Technology and Biotechnology, were analyzed. The study incorporated log file data from the 14 food scientists’ profiles, examining a total of 9,392 cited works. These citations were derived from materials indexed by Google Scholar (5,221 citations), Research Gate (3,358 citations) and Scopus (813 citations). Findings revealed that Food Science Technology and Biotechnology had the highest number of articles and citations, with 257 articles (64.4% of total) on Google Scholar and 3,108 citations (60% of total). Research Gate showed 171 articles (65% of total) with 2,249 citations (67% of total), while Scopus recorded 52 articles (63% of total) with 449 citations (55.2% of total). A paired t-test measuring the evolution of access and growth in published works indicated a statistically significant increase (p < 0.05) across all specializations in Food Science. Citations for Food Science/Technology and Biotechnology rose from 19 (1%) in 1972-1997 to 3,089 (99%) in 1998-2023, highlighting substantial growth in visibility and usage. The geographical distribution analysis showed that Africa had the highest citation metrics, followed by Europe, North America with Asia and South America having relatively lower impact. The study underscores the critical role of digital platforms in enhancing research impact and suggested that improved dissemination strategies are needed, particularly for areas with lower reach such as food Microbiology. These findings provided valuable insights for researchers aiming to enhance the visibility and impact of scientific research in food Science.

Economic study of Binadhan-22 production in some selected areas of Bangladesh

This study was conducted in four districts of Bangladesh, namely Mymensingh, Bogura, Naogaon and Rangpur to estimate the profitability and factors affecting gross return of the variety. This study was based on primary data which were collected from 200 Binadhan-22 growing farmers. In the sampled areas data were collected through pre-designed interview schedule from January-February, 2023. Tabular, descriptive statistics and Cobb-Douglas production function model were used to fulfill the objectives. It was found that Binadhan-22 production is profitable. The average net return per hectare was Tk. 28876. The net return was highest in Rangpur (Tk. 32480/ha) followed by Naogaon (Tk. 28554/ha), Mymensingh (Tk. 27331/ha) and Bogura (Tk. 27139/ha), respectively. Benefit cost ratio was estimated at 1.39 and 2.04 on full cost and variable cost basis. Cobb-Douglas production function was chosen to determine the factor affecting gross return of Binadhan-22 production. All of the factors namely, human labour cost, power tiller cost, seed cost, fertilizer cost, irrigation cost, insecticides cost were statistically significant and positive. The regression coefficients for farming experience and agricultural training under all areas had negative but significant relationship at 5% and 10% level, respectively. The regression coefficient of age was positive and significant at 10% level. Under all areas, the regression coefficients of education and farm size were positive but not significant. Farmers faced some constraints in cultivating of the variety. The first ranked constraint was lack of availability of seeds (93%). Other constraints were lack of training (61%), lack of capital (38%) and lack of technical know-how (16%). In addition to helping farmers use a better combination of inputs that will create higher productivity and return, effective extension services may also assist farmers in cultivating rice in a way that will contribute to food security and self-sufficiency. Bangladesh J. Nuclear Agric, 38(1): 81-91, 2024

Smart Farming for Sustainable Agriculture: A Case Study through Korean Public TVET

This study aims to present implications for sustainable education and training of the agricultural workforce. It introduces the case of a smart farm learning factory as an educational facility at Korea Polytechnics. Learning factory refers to the practical experience gained using the knowledge acquired in engineering education to solve problems in the actual work field. For this study, we analyzed the smart farm case of Hongseong Campus of Korea Polytechnics, a government-funded vocational education institution in Korea. The research questions are as follows. First, what is the purpose of establishing a smart farm education and training facility? Secondly, what is the performance of the facility? Thirdly, what are the implications of the Korean smart farm for sustainable TEVT? As a result of analyzing the case, the purpose of establishing the facility was to improve the practical capabilities of convergence technologies used in machinery, automation, industrial facilities, and electrical departments. Additionally, the performance has been found to serve as the foundation for project-based learning subjects that incorporate convergence education, and companies have been able to reduce training costs and contribute to sales profits by using this facility to train employees. Finally, the implication of sustainable TVET through smart farm cases is that it has provided a way to enhance the effectiveness of teaching and learning guidance at agricultural sites, create educational resources that can utilize advanced agricultural technologies for sustainable development, and actively cooperate and collaborate with educational institutions, governments, and local companies.