Traditional Farming Methods Research Articles

PSIV-11 Effects of Sprouted Barley on Weights, Ribeye Area, Backfat in Growing Steers

Abstract As the climate of our world continues to change, alterations to traditional farming methods are necessary to adapt to the environment and available resources. Changes in weather and costs of feed, coupled with decreased availability of feed and labor necessitate alternative methods for livestock feed production. One alternative to traditional farming is the production of sprouted grains in controlled environment, vertical farming units. However, little research has been completed on how including these feeds in the ration of beef cattle impacts production. This research examined the effects of including sprouted barley in growing rations of steers relative to body weight gain, ribeye area (REA) and ribeye fat thickness (REFT). A group of 60 commercial Angus steer calves (328.24 ± 6.48 kg) were initially stratified by body weight into one of four different treatment groups (n = 15/group). The control group were fed a typical ration for the region and the three treatment groups were fed a ration that included barley sprouts at 5%, 10%, or 20% (DM). Steers were fed their treatment diets for 60 days and body weight and ultrasound images for REA and REFT were collected on days 0, 30, and 60. All data were analyzed using PROC MIXED procedure of SAS with day as a repeated measure to determine the main effect of treatment. Over time, REA, REFT, and body weight each increased (P < 0.05) in each treatment group. There were no differences (P > 0.10) in body weight or REFT due to treatment. REA tended (P = 0.09) to increase in steers receiving 20% sprouted barley compared with controlled steers, but no other differences (P > 0.10) were found in REA in other treatment groups. These data demonstrate that including sprouted barley in the ration at the levels analyzed has no negative effect on animal growth performance. Additional research needs to be conducted to determine whether there is an impact on other production parameters, such as economic viability.

Impact of Front Line Demonstrations in Improving Rice Productivity and Profitability in Jaunpur District of Uttar Pradesh, India

A study was carried out during Kharif, 2019 to assess the impact of Frontline Demonstrations (FLDs) on productivity and profitability of rice crop in Jaunpur district of Uttar Pradesh. The FLDs were conducted by the ICAR-Indian Agricultural Research Institute, Regional Station Pusa, Samastipur, Bihar, under the IARI-Outreach Programme to know the yield gap, technology gap, extension gap, economic return, extent of farmer’s satisfaction, and constraints faced by the farmers, especially paddy growers. The critical inputs were identified in existing production technology through personal interaction, group meetings, and discussions with farmers and scientists. Improved variety, soil testing, seed treatment, integrated nutrient management, weed management, and pest and disease management are among the improved technologies. The result showed that switching from traditional farming methods to more advanced production technologies can result in yields of 30.00 percent and net returns of 27.00 percent. The extension gap of 1.20 t/ha, technological gap (0.55 t/ha), and technology index (9.57%) were registered for the Pusa Sugandha-5 variety. An additional returns of ₹16884.33/ha was obtained with an additional investment of ₹8395.67/ha, coupled with scientific monitoring of demonstrations and the use of rice varieties during investigations, which also influenced the economic returns per unit area. The constraint that was found to be the most difficult to overcome was the lack of improved, high-yielding rice varieties. In order to increase their yield and increase the production and productivity of rice in Uttar Pradesh, farmers in the area are advised to adopt new rice varieties as well as a recommended improved package of practices and technologies.

The Green Revolution 2.0: Weather Forecasting and Precision Irrigation Reshaping Crop Yield Enhancement

The integration of machine learning techniques in agriculture has ushered in a new era of precision farming, promising increased efficiency, sustainability, and yield optimization. This paper presents a comprehensive exploration of the application of machine learning algorithms in the agricultural domain, specifically focusing on smart irrigation systems. Utilizing data from various sensors and weather stations, we developed a predictive model to optimize irrigation practices, ensuring judicious water usage while maximizing crop yield. Through the implementation of regression algorithms and real-time data analysis, our study demonstrates significant improvements in water use efficiency, leading to environmentally responsible and economically viable agricultural practices. Moreover, the paper delves into the challenges and opportunities in deploying machine learning solutions in agriculture, addressing issues related to data quality, model accuracy, and real-time decision-making. The results showcase the potential of machine learning-driven smart irrigation systems to revolutionize traditional farming methods, paving the way for sustainable agriculture practices in an era of climate change and resource constraints. This research not only contributes to the academic discourse surrounding precision agriculture but also provides valuable insights for farmers, policymakers, and agribusinesses seeking innovative solutions for enhancing agricultural productivity and environmental stewardship.

Traditional and Western knowledge systems used by smallholders: Harnessing synergies for improved household food security in rural Ghana

ABSTRACT The discourse on knowledge integration persists in research and development practice. The need for traditional and Western knowledge systems to work together to achieve sustainable agricultural development in Ghana’s rural areas has become evermore relevant to achieve household food security in the context of changing climate, declining soil fertility, and labour challenges. The authors examined the role of knowledge integration in shaping the food security outcomes of socially differentiated smallholders’ households in Kassena-Nankana Municipal District and the Kassena-Nankana West District in the Upper East Region of Ghana, where food insecurity prevalence is very high. Using mixed methods approach, they found that most low resource endowed households that were unable to combine traditional and Western farming methods were more likely to experience food insecurity than were other households. Farmers with higher resource endowments integrated knowledges from both traditional and Western systems leading to better yield outcomes. However, combining both knowledge systems did not guarantee automatic success due to intervening factors. The authors conclude that different categories of smallholders’ resource endowment significantly impacts the smallholders’ food security status, and recommend that policy and development programming should promote integration of traditional and Western farming knowledge systems to achieve sustainable food crop production.

Design and Implementation of Internet of Things (IoT) Platform Targeted for Smallholder Farmers: From Nepal Perspective

Nepal, a lower-middle-income country in South Asia, predominantly features smallholder farming communities operating on modest land holdings. These smallholders often adhere to traditional farming methods, relying on familial labor, which has become increasingly inefficient in contemporary agricultural landscapes. To enhance their productivity and efficiency, smallholder farmers require affordable and accessible Internet of Things (IoT)-based systems. However, the prevailing IoT solutions in the market primarily cater to large-scale commercial enterprises, rendering them unsuitable for the specific needs and constraints faced by smallholder farmers. In response to this gap, we have introduced a cost-effective, customizable, scalable, and dependable IoT platform tailored expressly for smallholder farmers. This platform empowers them to visualize, monitor, and control real-time data pertaining to their crops, livestock, and other agricultural assets. To ascertain the efficacy and suitability of our proposed platform, we conducted a comparative analysis with existing counterparts such as Blynk IoT and ThingSpeak IoT, evaluating their respective features and application services against standard requirements. Additionally, we subjected our platform to rigorous server load testing, assessing crucial performance parameters including throughput, response time, user capacity, and data sampling rates. Over an observation period spanning an average of 339 days, our platform successfully processed and stored a substantial volume of data, encompassing 817,633 sensor messages, averaging 2412 messages per day, with a cumulative storage size of 14,238.28 KB. Extrapolating from these results, it is noteworthy that an A0 instance with 20 GB of cloud space can adequately accommodate 200 users at a rate of 100 MB per user, which is adequate for the smallholder needs. Furthermore, the purposed platform was deployed inside a polyhouse to perform off-season grafting of citrus plants. The achieved success rate of 84% closely approached the success rate of 90–95% observed during on-season grafting. These empirical findings, coupled with the extensive data gathered during our research, underscore the reliability and performance of our proposed IoT platform for smallholder farmers.

City farms as a tool for improving the food security of the Russian Federation under sanctions pressure

Currently, there is a need to find alternative sources of food supplies in the context of sanctions pressure on the Russian Federation, and one of the most effective options is the creation of city farms. Previously, agriculture was carried out only on traditional land, but with the advent of a new direction, such as city farming, agriculture began to undergo changes and gain popularity. City farms are an innovative approach, where beds are grown in several tiers above each other, which allows you to achieve a higher yield compared to traditional agricultural methods. Moreover, artificial intelligence plays an important role in growing plants, which is especially relevant and modern these days. The article analyzes the possibility of increasing food production in cities, thanks to the use of technologies that allow growing vegetables and fruits on a relatively small area. The project examines the advantages and disadvantages of various city farm systems, as well as assessing their effectiveness from a production, economic and environmental point of view. The results of the study allow us to draw conclusions about the advisability of using city farms in the Russian Federation as a factor in increasing food security under sanctions pressure.

Radish microgreens produced without substrate in a vertical multi-layered growing unit are rich in nutritional metabolites.

Growing microgreens on trays without substrate in a vertical multilayered growing unit offers several advantages over traditional agriculture methods. This study investigated the yield performance and nutritional quality of five selections of radish microgreens grown in sprouting trays, without a substrate using only water, in an indoor multilayer cultivation system using artificial light. Various parameters were measured, including fresh weight, dry matter, chlorophyll, minerals, amino acids, phenolics, flavonoids, anthocyanins, vitamin C, glucosinolates, and antioxidant activity with four different in vitro assays. After ten days, the biomass had increased by 6-10 times, and the dry matter varied from 4.75-7.65%. The highest yield was obtained from 'Asia red', while the lowest was from 'Koregon red'. However, 'Koregon red' and 'Asia red' had the highest dry matter. 'Asia red' was found to have the highest levels of both Chls and vitamin C compared to the other cultivars, while 'Koregon red' exhibited the highest levels of total phenolics and flavonoids. Although variations in the levels of individual glucosinolates were observed, there were no significant differences in the total content of glucosinolates among the five cultivars. 'Asia purple' had the highest anthocyanin content, while 'Asia green 2' had the lowest. The K, Mg, and Na concentrations were significantly highest in 'Asia green 2', and the highest Ca was recorded in 'Asia purple'. Overall, 'Asia purple' and 'Koregon red' were the best cultivars in terms of nutritional quality among the tested radish microgreens. These cultivars exhibited high levels of dry weight, total phenolics, flavonoids, anthocyanins, essential and total amino acids, and antioxidant activities. Moreover, the implementation of this vertical cultivation method for microgreens, which relies solely on water and seeds known for their tall shoots during the sprouting could hold promise as a sustainable approach. This method can effectively be utilized for cultivar screening and fulfilling the nutritional and functional needs of the population while minimizing the environmental impacts associated with traditional agriculture practices.

Crop Health Monitoring through Remote Sensing: A Review

Agriculture is basis of livelihood for a major portion of world population. It provides food to humans. With the increasing population and climate change there is need to enhance production to fulfil the demand of growing population. Remote sensing technology has potential to predict nutrient requirement by providing various information related to plant and soil in quantitative terms thereby increasing productivity. It plays important role in monitoring crop health, crop growth and development, nutrient management, pest and disease management, water management and weed management. Evaluation of crop canopy provide various information regarding agronomic parameters. The data obtained from remote sensing provides a better alternative for natural management than traditional methods and this kind of management enhances efficiency of various resources by avoiding their overuse. By using this technology, we can improve traditional methods of agriculture and bring out changes in the field of agriculture. This paper reviews remote sensing technology for crop health monitoring, highlighting its importance with new ideas for agriculture.

Optimization of Anthocyanin Production in Tobacco Cells.

Plant cell cultures have emerged as a promising tool for producing active molecules due to their numerous advantages over traditional agricultural methods. Flavonols, and anthocyanin pigments in particular, together with other phenolic compounds such as chlorogenic acid, are known for their beneficial health properties, mainly due to their antioxidant, antimicrobial, and anti-inflammatory activities. The synthesis of these molecules is finely regulated in plant cells and controlled at the transcriptional level by specific MYB and bHLH transcription factors that coordinate the transcription of structural biosynthetic genes. The co-expression of peach PpMYB10.1 and PpbHLH3 in tobacco was used to develop tobacco cell lines showing high expression of both the peach transgenes and the native flavonol structural genes. These cell lines were further selected for fast growth. High production levels of chlorogenic acid, anthocyanins (mainly cyanidin 3-rutinoside), and other phenolics were also achieved in pre-industrial scale-up trials. A single-column-based purification protocol was developed to produce a lyophile called ANT-CA, which was stable over time, showed beneficial effects on cell viability, and had antioxidant, anti-inflammatory, antibacterial, and wound-healing activities. This lyophile could be a valuable ingredient for food or cosmetic applications.

Sustainable Agriculture in Saline Coastal Belt of West Bengal

In recent times Sundarbans along with parts of South and North 24 Parganas are severely facing the crisis of fresh and suitable water required for agriculture. Factors like the frequent occurrence of cyclones over the Bay of Bengal, inundation of saline water from the sea, narrowing of river bed, and improper drainage system are all contributing to agricultural difficulties in southern deltas. Agriculture is the main and the only mean of survival for the rural people of Sundarbans, but the farmers are facing serious challenges in cultivating high yielding crops due to soil salinity, entrapping them in financial loss. Hence the purpose of this project is to find out the threads and challenges that are hampering the livelihoods of the people of Sundarbans and look for alternative studies which are sustainable to provide alternative agricultural sources for the farmers of Sundarbans and coastal areas of Bengal. This will help to increase financial gains and also will give ways to sustain the lives of the farmers. Preliminary it was found that river embankment and inundation of oceanic waves in coastal lands had lead to saline ingression in the mainland and thereby increased the soil salinity. Salt build up on agricultural land has lead to crops damage by preventing them from absorbing water and stunting its growth. For example yielding of boro rice has been severely affected by increased soil salinity in groundwater impacting the livelihood of the boro farmers. We looked for traditional methods of agriculture practiced in ancient India to analyze its importance in promoting soil tolerant cultivation in southern deltas of West Bengal and a sustainable agriculture.

The Role of Artificial Intelligence and Machine Learning in Smart and Precision Agriculture

In recent years, the agricultural sector has been undergoing a new "green revolution" characterized by the increasing use of information and communication technology (ICT) and the transition from traditional farming methods to smart agricultural practices, also known as Agriculture 4.0. Robotics, combined with the use of drones, the emerging field of the Internet of Things (IoT), machine learning, and artificial intelligence, are now being deployed in digital transformation services in agriculture, aiming to optimize crop performance and agricultural sustainability. According to research and international literature, the new trends are now oriented towards the development of global and state-of-the-art connected agricultural systems through digital management platforms, with the goal of facilitating the flow of data and information. Although many efforts are being made to implement smart agriculture, there are still challenges that require further research.

Information Seeking Behavior of Postgraduate Students of Agriculture of Bundelkhand University Jhansi

Agriculture field is very vast, traditional farming methods as well as new ICT based agriculture both equally important in present context. Information and communication technology has become essential part of 21st century’s lifestyle. ICT has made drastic change in the field of agriculture also, the faculty and students of agriculture field need to know about new developments, innovations and transformations form traditional agriculture to modern agriculture. For this purpose they need new information, skills and competencies to expand their knowledge. The study aimed to comprehend how agriculture students used information sources, why they visited the university library, how frequently they did so, and what kind of help they had received in utilising the library, how they used e-resources, and what kinds of issues they encountered there. What resources they used other than library resources. This study defines a survey based on an analysis of the information-seeking behaviour of postgraduate agriculture students at Bundelkhand University, Jhansi. The survey method was used in the study, with a self-created questionnaire. The study examines the students' information requirement, information seeking behaviour, information seeking style, level of satisfaction, and challenges experienced when seeking information, i.e., the attitudes that students adopt when seeking information. The study also describes the library services that are available. According to the research, 69% of respondents used the library to access electronic information resources, and most of students visited the library for academic purpose.

Hydroponics: A Review on Revolutionary Technology for Sustainable Agriculture

India's economy heavily relies on agriculture, with the majority of the population depending on it for sustenance and livelihood. However, the rapid development of regions has resulted in severe issues affecting soil quality and cultivation practices. Additionally, factors such as natural disasters, climate change, and excessive use of chemicals have further deteriorated soil fertility. The scarcity of usable water for agriculture exacerbates the problem, leading to reduced food production and widespread hunger and malnutrition. Consequently, there is a critical need to embrace agricultural technologies that can conserve water, enhance food production, and ensure its availability. “Hydroponics” is one such methodology that can be adapted to counter all these problems. Hydroponic cultivation generally yields higher-quality produce with superior taste and nutritional value compared to traditional soil-based farming methods. Hydroponics offers numerous advantages compared to conventional soil-based crop cultivation. These benefits include shorter crop growing cycles, year-round production, reduced susceptibility to diseases and pests, and the elimination of labour-intensive intercultural tasks such as weeding, spraying, and watering. In the future, hydroponics has the potential to emerge as a prominent method for supplying food to the global population.

The Role of Organic Farming in Achieving Agricultural Sustainability: Environmental and Socio-economic Impacts

This article examines the role of organic farming in achieving agricultural sustainability, focusing on its environmental and socio-economic impacts. Organic farming, characterized by the avoidance of synthetic chemicals and the adoption of natural agricultural processes, presents a sustainable alternative to conventional farming practices. The environmental benefits of organic farming are significant, including improved soil health, enhanced biodiversity, reduced pollution, and a lower carbon footprint. These practices contribute to the preservation of ecosystems and mitigate the impacts of climate change. From a socio-economic perspective, organic farming offers health benefits by reducing exposure to harmful chemicals for both consumers and farmers. Economically, while it provides access to niche markets and potentially higher product prices, it also poses challenges such as higher production costs and the need for more labour-intensive practices. Additionally, organic farming can strengthen community ties and support local food systems, contributing to the preservation of cultural and traditional agricultural methods. The article concludes that organic farming is a key element in the pursuit of sustainable agriculture, offering multiple environmental and socio-economic benefits. However, realizing its full potential requires addressing its challenges through continued research, innovation, and supportive policies.

How to Improve the Benefits of Short-Term Fallow on Soil Physicochemical and Microbial Properties: A Case Study from the Yellow River Delta

Fallowing is regarded as an effective method for the self-recovery management of farmland and is generally used in cultivated land management. Studies have shown that long-term fallow has many ecological and environmental benefits. However, the long-term fallowing of farmland has also caused a decline in the grain production of farmland for a period of time. Short-term fallow can reduce the risk of food insecurity, but there are few studies on short-term fallow, especially on the comparation of different fallowing management methods and their relationship with soil microbial ecology. Our study has focused on seven treatments. Firstly, the traditional farming method was set as the control group. Native vegetation and crop-pasture vegetation were set as the fallowing vegetation. There were three irrigation–fertilization levels for each vegetation. The effects of the sampling times showed that the impact of fallow management on the soil properties became gradually stronger with time. The interactions between the sampling times and treatments showed a significant impact on organic carbon and total nitrogen. There was a significant impact of fallow management on the inorganic carbon accumulation and ammonia nitrogen consumption. Microbial biomass carbon was significantly increased by fallowing. Fallowing with irrigation could enhance the soil microbial nitrogen transformation. Some genera associated with assisting diseases were significantly increased by the native vegetation fallow and grass fallow with farmyard manure. The fallow with native vegetation showed more advantageous ecological benefits than the crop-pasture vegetation fallow. Although the crop-pasture vegetation followed the principle of ecological intensification, it failed to show better ecological benefits in the short fallow period. In irrigation management, the benefits of native vegetation and crop-pasture vegetation are similar. However, considering the lower cost of crop-pasture vegetation, crop-pasture vegetation fallow with irrigation could be a better choice. If it is difficult to implement conservation measures during the fallowing process, native vegetation fallowing without management may be the only fallowing choice.

Status of yam (Dioscorea spp.) in the Democratic Republic of Congo

AbstractYam is an important tuber crop with enormous potential to enhance rural sustenance and livelihood in DRC. However, studies to enhance its genetic improvement are very far from sufficient with only a handful of information available on the crop. Yam has been treated as an orphan crop compared to contemporary crops such as cassava and sweet potato which have adapted to different cropping systems and become widespread in production. The lack of research attention to address the major production challenges has further decreased the value and potential of the crop compared to its contemporaries. These production constraints include lack of adequate quality planting materials, low yield potential, poor resistance/tolerance to yam mosaic and anthracnose diseases and ultimately poor tuber quality attributes focusing on tuber taste, flesh oxidation and dry matter contents of the majority of the farmers preferred varieties. In this review, we evaluated the status of yam in DRC and presented the needful activities to be incorporated for its improvement. Diversity has however been maintained mainly through ennoblement efforts in house gardens and small farmlands using traditional farming methods. Studies from other nations where yam has been successful with prominence in characterization and genetic improvement brought to light the need for DRC to consider yam as a staple carbohydrate food source, even to the extent of modifications in food public policy. Reversal of the yam's current stigma is a challenge to the scientific community and the population in general.

Development of Smart Farming Technology on Ginger Plants in Padamulya Ciamis Village, West Java, Indonesia

In this paper, we present a comprehensive study aimed at enhancing the cultivation of ginger plants through the integration of smart farming technology. Ginger (Zingiber officinale) is an essential crop in the agriculture-based economy of Indonesia, providing numerous health benefits and culinary applications. However, traditional farming methods often face challenges such as inefficiencies, resource wastage, and unpredictable yields. The research conducted in Padamulya Ciamis Village seeks to address these issues by harnessing the potential of smart farming technology. The study involves the implementation of cutting-edge agricultural tools, including Internet of Things (IoT) devices, sensor networks, and data analytics. By utilizing these advancements, the project aims to optimize the cultivation process, ensure sustainable resource management, and enhance overall productivity. The methodology of the research encompasses a mix of experimental trials, data collection, and analysis. Smart sensors are deployed to monitor critical variables such as soil moisture, temperature, humidity, and light intensity, enabling farmers to gain real-time insights into their ginger fields. The collected data is processed using machine learning algorithms, providing predictive models and personalized recommendations for cultivation practices. The results of this study demonstrate promising advancements in ginger farming practices. By implementing smart farming technology, farmers in Padamulya Ciamis Village experience optimized irrigation schedules, precise nutrient delivery, and timely pest control measures, leading to increased crop yields and improved quality. Furthermore, resource utilization efficiency is enhanced, minimizing water and fertilizer wastage, contributing to the sustainable and eco-friendly management of ginger plantations. Beyond its local implications, this research showcases the potential of smart farming technology as a transformative force in agriculture. The findings serve as a foundation for scaling up similar projects in other regions of Indonesia and beyond, contributing to the nation's agricultural modernization and food security. Finally, the development of smart farming technology on ginger plants in Padamulya Ciamis Village presents a promising pathway towards sustainable and efficient agricultural practices. By combining traditional farming knowledge with cutting-edge technology, this study exemplifies how smart farming can elevate crop cultivation, empower farmers, and foster rural development in Indonesia.

Study on Growth Pattern of Capsicum in Greenhouse

Abstract: Polyhouse is a specialized structure that provides a controlled climate condition for the growth of different plants and other crops. It is a major innovation supported by state governments by providing subsidies for establishing the structure. Polyhouse farming requires less water, fertilizer, and pesticides, and provides a higher yield compared to traditional farming methods. The use of polyhouses is not limited to growing flowers, vegetables, and fruits, but also for developing new techniques for agriculture. The material which is used in this construction is bamboo which is very cheaper comparing to other construction material and easily available, and the strength of bamboo is excellent, it also provides a protected environment for crops from adverse climatic conditions like heavy rainfall. For this protective structure government is also providing subsidy up to 50% for the construction of Greenhouse & Shade net House. Apart from this, 20% additional subsidy is given to small, marginal, scheduled caste & scheduled tribe farmers i.e., 80% subsidy is payable to them. For small and marginal farmers this is a best option for growing different fruits and vegetables is different season.

Agro-ecological intensification for climate change adaptation: tales on soil and water management practices of smallholder farmers in rural Ghana

In response to the increasing impacts of climatic stressors on human populations, climatic scholars have emphasized the need for alternative approaches to adapt food crop production to climate change and sustain the livelihoods of smallholder farmers. Inspired by agro-ecological intensification (AEI) practices of smallholder farmers, this study contributes to climate change adaptation debates in Sub-Saharan Africa by providing a context-specific exploration of everyday traditional soil and water management practices employed by smallholder farmers in adapting food crop production to climate change. The study employed a qualitative research design, conducted household case studies, focus group discussions, key informant interviews, and a review of secondary data. We show that smallholder farmers employ diverse range of agronomic practices, with a particular emphasis on traditional soil and water management techniques. Such as the preparation and application of organic manure and compost, ridges formation, crop rotation, and cover cropping. These agronomic practices were complemented by the application of limited inorganic fertilizers and applied across different types of farms; compound and bush farms, valley fields, and gardens to adapt production to climate change. We argue that smallholder farmers are more inclined towards adopting AEI as a means of climate change adaptation due to their strong reliance on traditional farming methods, that draws heavily on local resources, indigenous knowledge as relatively affordable practices. Therefore, we emphasize the importance of incorporating an Endogenous Development (ED) approach in promoting AEI as part of climate change adaptation planning, particularly in rural Ghana and other Sub-Saharan African regions facing similar conditions.

IDENTIFIKASI SOIL TRANSMITTED HELMINT PADA FESES TERNAK BABI MENGGUNAKAN METODE DIRECT SLIDE

Until now, parasitic diseases that infect humans and animals have not been considered in Indonesia because these diseases do not cause clinical symptoms (subclinical). Gastrointestinal disease caused by worm parasites is a systemic disease that attacks the digestive tract of cattle. Traditional pig farming methods and poor hygiene are the main reasons for the spread of zoonoses that can be transmitted from pigs to humans. This study aims to identify nematode hosts by examining worm eggs in pig feces using the direct slide method. From a total of 20 stool samples, 3 samples were positive for nematode worm eggs. A stool sample that is identified as positive for worm eggs determines the level of parasitic infestation. Worm egg detection was carried out in the laboratory of the Faculty of Health Sciences University and analyzed descriptively, then the number of worm eggs was counted to determine the prevalence of endoparasites.