Agricultural Technology Research Articles

A study on knowledge and attitude of farmer towards agriculture technology management agency in Prayagraj district

A study on knowledge and attitude of farmer towards agriculture technology management agency in Prayagraj district

Business Intelligence Implementation for Groceries Commodity Price Data Analytics

As a startup company specializing in agricultural technology, currently PT XYZ does not have any effective and integrated tools to analyze groceries commodity for purchase and sale data-driven decision making. This research will integrating multiple data sources for accurate analysis, tailoring the business intelligence (BI) system to PT XYZ’s specific needs, and developing a robust solution that supports comprehensive decision-making. BI implementation solution will be developed using Pentaho Data Integration & Apache Superset. Applied research used as its method, that contains processes to gather user requirements to gather user needs from each information, design the solution, and dashboard development. The study focused on analyzing data from both internal sources, such as purchase and sales transactions, and external sources, including market price data, using these BI tools to provide comprehensive insights. The developed dashboard contains several sections that allow users to see price recommendation price and get the insight for the last seven days trend, monitor the market position, see team performance, and find the summary about estimated and actual margin comparison. Pentaho successfully handled ETL and data modeling, while Apache Superset enabled straightforward dashboard setup, though chart customization is limited.

Sustainable agricultural technologies of the future: Determination of adoption readiness for different consumer groups

The rapid increase in population and unsustainable agricultural practices has significantly damaged the environment. Our study explores how to achieve food security through environmentally friendly methods such as controlled environment agriculture (CEA), genetic editing (GE), and farming automation (FA), with an emphasis on the importance of consumer acceptance of these technologies. Analyzing data from 2138 Australians and 1760 New Zealanders, we employ a two-step clustering method—(1) hierarchical clustering and (2) k-means clustering—to categorize consumers on the basis of their demographic and lifestyle preferences into three segments that capture differences in attitudes toward new agricultural technologies: “Green Urbanites,” “Environmentally Unconcerned,” and “Skeptical Foodie.” Our findings reveal that Green Urbanites are the most open to adopting CEA, GE, and FA, while Skeptical Foodies and Environmentally Unconcerned are more reluctant. We contribute to theory by studying a novel facet of consumer acceptance of sustainable technologies and revealing how consumption, living, and lifestyle patterns motivate new technology acceptance in the agricultural sector. To inform practice, we suggest tailored strategies to increase engagement of the identified segments and promote wider acceptance of sustainable agricultural practices for enhanced food security.

Enhancing Agricultural Practices through ICT: The Diffusion and Impact of the Among Tani Application in Batu City, Indonesia

This study examines the implementation and impact of the Among Tani application, a digital platform designed to support farmers in Batu City, Indonesia, as part of a broader smart city initiative. Utilizing a qualitative approach, the research investigates the diffusion process of the application, its role as a virtual communication medium, and its effects on organizational structures within farmer groups. The study reveals a staged adoption process influenced by factors such as farmer age and crop vulnerability. While the application has enhanced access to agricultural information and improved pest management, challenges including the digital divide and integration with traditional practices persist. The findings highlight the complex interplay between digital innovation and existing agricultural systems, emphasizing the need for context-sensitive approaches in implementing agricultural technologies. This research contributes to the understanding of digital agriculture's potential in supporting sustainable rural development and provides insights for future smart city initiatives in agricultural contexts.

Performance of plant growth regulators in soybean cultivation under differente aplication methods

The utilization of biostimulants has emerged as a promising approach in agriculture, aiming to augment the physiological processes associated with germination and growth across diverse plant species, thereby leading to substantial and sustainable enhancements in agricultural productivity. Grounded in scientific insights, this study endeavored to juxtapose the efficacy of a biostimulant compound against conventional market-available products. The application methodologies encompassed seed treatment and foliar spraying at the V2 growth stage, with a primary focus on productivity augmentation. The investigation transpired at the Agricultural Technological Center of Paraguay (CETAPAR) in Colônia Iguazu, Paraguay, utilizing a randomized complete block design (RCBD) featuring 16 treatments replicated four times. Dosages were administered in adherence to label recommendations. Productivity data underwent rigorous statistical analyses, including the F-test and Dunnett's test, with a significance level set at 10%. Remarkably, foliar applications at the V2 phenological stage and seed treatments outperformed other modalities, yielding notable outputs of 4,431 kg.ha-1 and 4,419 kg.ha-1, respectively. Noteworthy is the observation that the tested biostimulant formulation exhibited equivalent or superior potential when juxtaposed with commercial counterparts. The findings underscore the viability of integrating biostimulants as a compelling strategy to optimize agricultural productivity, thereby furnishing farmers with an efficacious and sustainable alternative.

Predicting the risk of arsenic accumulation in soil-rice system in Asian monsoon region

Rice is a staple food for a significant portion of the global population. Arsenic (As) accumulated in rice grains influences rice quality which threatens human health. In this study, we used three machine learning models to predict arsenic accumulation in rice based on over 300 surveys. The prediction results of soil arsenic indicate that high-arsenic soil areas are mainly distributed in South and Southeast Asia such as India, China, and Thailand. In addition, higher bioaccumulation factors (BAF), associated with higher temperature, are predominantly observed in eastern India and southern Myanmar. However, arsenic content in soil is relatively lower in these areas. About 5.5 billion population may be threatened by the consumption of high-arsenic rice. It can be concluded that temperatures may influence the BAF except for soil arsenic, and soil physicochemical properties. Further research on the relationship between climate parameters and BAF should be conducted to address and adapt to future climate change. Additionally, understanding the mechanism of arsenic accumulation under different climatic conditions is crucial for developing agricultural technologies to reduce arsenic accumulation in rice.

Інноваційні рішення як джерело розвитку агробізнесу

The article examines the role and prerequisites for using innovative solutions to improve the efficiency and competitiveness of modern agribusiness. The article examines the role and prerequisites for using innovative technologies to improve the efficiency and competitiveness of modern agribusiness. Searching for scientific and practical solutions focuses on analyzing current trends, opportunities, and challenges associated with implementing innovative solutions in agribusiness. It is highlighted that global trends in the development of critical economic factors (labor, capital, technology) create both new opportunities and threats for the development of companies. It is substantiated that the reduction of working-age people threatens the development of rural areas and the provision of agricultural enterprises with labor. It is proved that most of the labor processes carried out in agricultural companies today require manual skills. The current trends in labor shortages in agricultural companies are highlighted, which is compensated for by the growth of labor productivity, but its level, due to the relatively low provision of enterprises with material and technical resources, still does not allow organizing agricultural business at the level corresponding to the leading countries. During the study, the methodology of theoretical generalization, as well as analysis and synthesis, was used, which allowed us to deepen and structure the understanding of the transformative potential of innovative technologies in agriculture at the present stage of development of innovative technologies. It has been found that innovative technologies play a crucial role in increasing the efficiency, competitiveness, and sustainability of agribusiness by optimizing production, and improving the transparency and traceability of operations and processes. Keywords: innovative technologies, agribusiness, agriculture, agricultural production, shortage of personnel, threat of unemployment, labour processes, introduction of innovations, efficiency, competitiveness.

Exploring Female Agripreneurship: Insights from Grey Literature Using TCCM Framework

Women agripreneurs' expertise, abilities, and passion are some of the most effective strategies to improve their financial and social status. There is a wealth of systematic literature on women in entrepreneurship, as well as bibliometric reviews on women in entrepreneurship and sustainability. However, the systematic literature on women in agriculture or agribusiness on grey literature receives relatively little attention. The present study applies SPAR-4-SLR and TCCM frameworks to validate the research questions. Women frequently encounter disempowerment in terms of their participation, influence, and control over agricultural decision-making and income, which leads to the existence of gender disparity. Access to financial services could potentially reduce rural-to-urban migration by providing enhanced local economic opportunities. Suggestions provided for a supportive environment that values and respects the contributions of women in agriculture, facilitating the adoption of various technologies to break down barriers and reduce gender disparities. The investigation highlights the need for further research on the topics of female agripreneurship, female empowerment and digital technology, women's perspectives on technology and innovations in agriculture, and gender disparities in agripreneurship, all with the aim of achieving sustainable agriculture. The novelty of the study is the usage of the TCCM framework in the grey literature on women in agriculture and a proposed framework for technology-enhanced women's empowerment in agriculture.

KELURAHAN PETANI HIJAU MODERN: SMART FARMING MENGGUNAKAN TEKNOLOGI PANEL SURYA UNTUK MEWUJUDKAN KAWASAN PERTANIAN MODERN DI KELURAHAN BAKUNG JAYA

The development of automatic plant watering devices has become a major focus in increasing efficiency and effectiveness in plant cultivation. In this context, automatic plant watering devices that use electrical energy sources from solar panels have shown great potential in saving energy and reducing environmental impacts. This tool is designed to replace manual work in watering plants, both in hydroponic systems and sprinkler systems. In hydroponic systems, automatic plant watering devices use soil moisture sensors to detect soil moisture and send commands to the water pump to water periodically. This allows hydroponic plants to receive nutrients continuously and maintain air humidity with automatic fogging. Meanwhile, in sprinkler systems, automatic plant watering devices use solar panels as a source of electrical energy. These solar panels generate electrical energy that is used to power the water pump and sprinkler, thus watering plants automatically without the need for human intervention. The advantages of using solar panel in automatic plant watering devices include the use of renewable energy, easy maintenance, and no greenhouse gas emissions. However, this tool also has disadvantages, such as dependence on sunlight intensity. Thus, the development of automatic plant watering devices using solar panel can help increase plant productivity, save energy, and reduce environmental impacts. This tool can also be integrated with various types of plant cultivation systems, thus providing many benefits in the development of modern agricultural technology.

Analysis of the Economic Feasibility of Using Modern Agricultural Machinery in Oil Palm Plantations in South Sumatra

This study investigates the economic feasibility of using modern agricultural machinery in oil palm plantations in South Sumatra. A quantitative approach was employed, involving 40 samples collected through a structured questionnaire utilizing a Likert scale from 1 to 5. The data were analyzed using SPSS version 26, focusing on key economic indicators such as production efficiency, cost savings, and profitability. The results revealed strong positive and significant relationships between the use of modern machinery and all three economic indicators. The findings suggest that modern agricultural machinery significantly enhances economic performance in oil palm plantations, making it a viable investment for improving productivity and profitability. These insights provide valuable guidance for plantation owners and policymakers in promoting the adoption of advanced agricultural technology in the region.

Greenhouse farming: Hydroponic vertical farming- Internet of Things (IOT) Technologies: An updated review

This review paper of literature highlights the importance of greenhouse urban farming technology, hydroponics, aeroponics, aquaponics, vertical farming and applications of Internet of Things (IOT) technologies. The greenhouse farming is a well known modern agriculture technology for optimal plant growth. Hydroponics, a soilless cultivation technique using nutrient solutions under controlled conditions, is used for growing vegetables, high-value crops, and flowers. Vertical farming is a popular trend in hydroponics that involves stacking multiple layers of plants in a vertical arrangement. This farming method saves space, reduces water usage, and increases yields per square foot of growing area. In comparison to conventional greenhouse cultivation, hydroponics requires less fertilizer, pesticides, and water due to the precise control over their distribution. The term “Internet of Things (IOT)” is a system of interconnected computing devices, sensors, objects, microcontrollers, and cloud servers that can transmit data across a network and control other devices remotely without human intervention. A better management of nutrient solution in hydroponic systems requires optimum pH, electrical conductivity (EC), or ions concentration. The three main greenhouse farming gases (GHGs) emissions in hydroponics hi-tech urban farming are nitrous oxide, methane and carbon dioxide (CO2). To measure the levels of CO2 in hydroponics, the more intermediate to advanced grower can use a CO2 monitoring and controllers system. Hydroponic vertical farming is in infancy in India. Although hydroponic vertical farming units for production of crops like strawberry, lettuce and other leafy vegetables, foliage and flowers are functioning in major metros of India. However, the organized hydroponic vertical farms for production of food crops are not available in India. Therefore, only a few successful hydroponic vertical farms have been built in India mainly due to the initial high price tag on construction and the cost of maintaining them afterwards. Another disadvantage is carbon footprint of hydroponic vertical farming is very high, and discourages its applications.

Factors Influencing Agricultural Technology (Agritech) Adoption among KwaZulu-Natal Commercial Farm Managers

Factors Influencing Agricultural Technology (Agritech) Adoption among KwaZulu-Natal Commercial Farm Managers

Physiological and Molecular Mechanisms of Rice Tolerance to Salt and Drought Stress: Advances and Future Directions.

Rice, a globally important food crop, faces significant challenges due to salt and drought stress. These abiotic stresses severely impact rice growth and yield, manifesting as reduced plant height, decreased tillering, reduced biomass, and poor leaf development. Recent advances in molecular biology and genomics have uncovered key physiological and molecular mechanisms that rice employs to cope with these stresses, including osmotic regulation, ion balance, antioxidant responses, signal transduction, and gene expression regulation. Transcription factors such as DREB, NAC, and bZIP, as well as plant hormones like ABA and GA, have been identified as crucial regulators. Utilizing CRISPR/Cas9 technology for gene editing holds promise for significantly enhancing rice stress tolerance. Future research should integrate multi-omics approaches and smart agriculture technologies to develop rice varieties with enhanced stress resistance, ensuring food security and sustainable agriculture in the face of global environmental changes.

A review on the application of advanced soil and plant sensors in the agriculture sector

Sensors implemented in agriculture play a significant role in soil and plant growth and enable real-time physical and chemical interactions in the environment, such as temperature, moisture/humidity, pH, and contaminant levels. Additionally, these sensors provide essential data that can enhance crop growth scenarios, resist biotic and abiotic stresses, and improve crop production. This article provides a thorough examination of the evolving landscape of agricultural sensor technologies, perspectives, and challenges in the field. Currently, some of the key soil sensors used in agricultural programs, include those that measure moisture, temperatures, pH, organic matter components, insects, and soil pollutants. On the other hand, nanobiotechnology sensors implement optical, wireless, or electrical signals to provide information about plant signaling molecules related to the conditions of agronomic equipment. We shed more light on the use of nanomaterial-facilitated transport of genetically encoded sensors as devices for the investigation and advancement of advanced plant sensors. Innovative technologies, including wireless sensor networks and plant wearables, are also addressed with regard to their potential for precision agriculture. The paper concludes by presenting future perspectives and difficulties in the fields of soil sensors and intelligent agriculture. In summary, we provide a comprehensive and forward-looking perspective on the potential of nanotechnology to facilitate the development of intelligent plant sensors. These sensors are capable of communicating with and controlling electrical equipment, with the aim of tracking and improving the output and resources applied to individual plants.

The Role of Volatile Organic Compounds (VOCs) in Determining Seed Physiological Quality: A Review

Volatile organic compounds (VOCs) emitted by seeds serve as promising biomarkers for assessing seed vigor, viability, and deterioration during storage. This review synthesizes current knowledge on the types and chemical classes of VOCs released by seeds, factors affecting their emission, and methods for their collection and analysis. VOCs indicate seed aging, with increased emissions of alcohols, aldehydes, and ketones associated with deterioration processes like lipid peroxidation. Volatile organic compounds (VOCs) associated with seed deterioration include alcohols like ethanol, which can indicate fermentation, aldehydes such as hexanal, which is linked to lipid oxidation, and ketones like 2-heptanone, which can result from microbial activity and contribute to off-flavors and rancidity. The quantity and composition of VOCs correlate with the extent of seed deterioration, potentially offering a rapid, non-destructive alternative to traditional germination tests for evaluating seed quality. VOCs also mediate interactions between seeds and microorganisms, influencing germination and stress responses. Different research findings regarding volatile organic compounds (VOCs) in seeds indicate their potential as indicators of seed quality, which could lead to improved seed management strategies. By utilizing VOC profiling, farmers can make informed decisions on seed selection and treatment, ultimately enhancing crop yield and resilience in agricultural practices. While VOC analysis shows promise for integration into seed quality testing, challenges remain in standardizing protocols and identifying robust markers across different seed types, species and storage conditions. Advances in VOC research may ultimately lead to novel solutions for improving seed and crop productivity. Future research directions in VOC analysis for seed quality testing should focus on standardizing VOC profiles across diverse seed species, integrating VOC analysis with precision agriculture technologies, exploring environmental influences on VOC emissions, developing non-invasive testing methods, conducting longitudinal studies on seed storage, applying VOCs in breeding programs, and establishing links between VOC emissions and disease resistance.

Effects of different particle size microplastics and di-n-butyl phthalate on photosynthesis and quality of spinach

As agricultural technology advances, microplastics (MP), which result from the degradation of widely used plastic products, have gradually accumulated in the soil, raising serious environmental concerns. This study explores the toxic effects of di-n-butyl phthalate (DnBP) on spinach, focusing on various particle sizes and MP concentrations through hydroponic experiments. Experimental results demonstrated that MP/DnBP combined pollution significantly reduced key photosynthetic parameters, including net photosynthetic rate, stomatal conductance, and transpiration rate, compared to treatments with DnBP or MP alone. Additionally, there was an increase in intercellular carbon dioxide concentration, suggesting that the inhibition of photosynthesis was due to non-stomatal factors. Moreover, spinach exposed to combined pollution conditions exhibited a notable decrease in maximum light energy conversion efficiency, electron transfer efficiency, and chlorophyll content. This disruption affected the synthesis of ribulose-1,5-bisphosphate carboxylase. On the other hand, the contents of ascorbic acid and glutathione in spinach roots and leaves increased, indicating the plant’s defense mechanisms were activated in response the toxic effects of MP and DnBP. Despite this, there was a significant reduction in soluble protein and soluble sugar content and a marked increase in nitrite content, reflecting a decline in spinach quality. This decline was attributed to the exacerbation of DnBP’s toxic effects by MP. Overall, MP/DnBP combined pollution reduced the quality of spinach by impairing photosynthesis and sugar metabolism, potentially amplifying ecological risks to crop plants. This study provides insight into the synergistic effects of MP and DnBP on plant health.

Innovative Designs for Cotton Bionic Topping Manipulator

Topping reduces the growing point at the top of cotton plants. This process enables the plant to allocate more energy and nutrients to fruit growth, thereby enhancing both the quantity and quality of the fruit. Current cotton-topping machinery often leads to over-topping, which can affect crop yield and quality. Manual topping is effective in controlling over-topping due to its adherence to agronomic requirements, but it is labor-intensive. This study integrated principles from biology (bionics) to design a manipulator that mimics the action of hand pinching during manual topping. Screening grids of different sizes were designed based on a statistical analysis of the biological parameters of cotton tops to optimize the topping process. A disc cam mechanism was developed to enable the automatic opening and closing of the manipulator. From the results, it was evident that the spring tension must exceed 81.5 N to properly cut the cotton stem near the top. The spacing of the screening grid (40 mm) and the position of the topping manipulator (less than 50 mm) were optimized based on experimental results. Performance testing showed promising results with a 100% topping rate. This study not only identified the challenges with current cotton-topping methods but also proposed a bionics-inspired solution; a bionic manipulator equipped with a screening grid was proposed to achieve high accuracy in cotton topping, which significantly reduced over-topping rates to 6.67%. These findings are crucial for advancing agricultural technology and improving efficiency in cotton cultivation.

A Review on the High-Efficiency Detection and Precision Positioning Technology Application of Agricultural Robots

The advancement of agricultural technology has increasingly positioned robotic detection and localization techniques at the forefront, ensuring critical support for agricultural development through their accuracy and reliability. This paper provides an in-depth analysis of various methods used in detection and localization, including UWB, deep learning, SLAM, and multi-sensor fusion. In the domain of detection, the application of deep algorithms in assessing crop maturity and pest analysis is discussed. For localization, the accuracy of different methods in target positioning is examined. Additionally, the integration of convolutional neural networks and multi-sensor fusion with deep algorithms in agriculture is reviewed. The current methodologies effectively mitigate environmental interference, significantly enhancing the accuracy and reliability of agricultural robots. This study offers directional insights into the development of robotic detection and localization in agriculture, clarifying the future trajectory of this field and promoting the advancement of related technologies.

Impact of agricultural science and technology innovation resources allocation on rural revitalization

China’s reform began in the countryside, and rural reform began in Anhui. This study uses Anhui Province, China as an example in analyzing the impact of agricultural science and technology innovation resource allocation on rural revitalization, particularly by constructing an econometric model. Results indicate that the allocation of agricultural science and technology innovation resources has a steady positive impact on rural revitalization. Improvements in the allocation of agricultural science and technology innovation resources can effectively promote the development of rural revitalization and the spatial spillover of rural development, thereby facilitating the promotion of the spillover of neighboring areas to local rural development. A nonlinear relationship exists between allocation of agricultural science and technology innovation resources and rural revitalization. Lastly, rural revitalization can only be promoted substantially when the allocation of agricultural science and technology innovation resources reaches a certain condition.

Innovations in Aquaponics Technology and Building Sustainable Infrastructure for Agriculture

Aquaponics, a symbiotic integration of aquaculture and hydroponics, presents a promising approach to sustainable agriculture by maximizing resource utilization and minimizing environmental impact. This study explores recent innovations in aquaponics technology and the development of sustainable infrastructure to support its widespread adoption. A systematic literature review is conducted, showing the fundamentals of aquaponics and its key components such as fish tanks, grow beds, and biological filters. Innovations in technology are examined, including advanced monitoring and control systems, integration of renewable energy sources, automation, and novel growing techniques. Sustainable infrastructure for aquaponics is analyzed, focusing on water management strategies, energy efficiency measures, material selection, and integration with urban agriculture. Furthermore, the alignment of aquaponics technology and sustainable infrastructure development with the United Nations Sustainable Development Goals (SDGs) is studied, particularly in achieving goals related to zero hunger, clean water and sanitation, responsible consumption and production, and climate action.