Punjab Province Research Articles

Unveiling Digital Transformation and Teaching Prowess in English Education During COVID‐19 With Structural Equation Modelling

ABSTRACTThe present research looks at the reputation of digital platforms in online pedagogical English education in Pakistan, and the use of digital technology in virtual classrooms during public health emergencies. It explores how faculty members use digital technology in their pedagogical English teaching approaches by analysing their technological skill level. To achieve the study's objectives, an online survey was undertaken to gather primary data. University teachers delivering online courses during COVID‐19 in several cities throughout Punjab Province answered an online questionnaire survey. Smart‐PLS 3.3.9 and structural equation modelling (SEM) were used to investigate the recommended research framework. SEM analysis results showed that all proposed hypotheses were confirmed. This research presents an overview of faculty members' online pedagogical teaching abilities and digital technology during COVID‐19. The research findings are critical for determining how to incorporate technology during the pandemic period and to integrate technology into higher education during the new normal.

Geo-climatic factors co-drive the phenotypic diversity of wild hemp (Cannabis sativa L.) in the Potohar Plateau and Lesser Himalayas

Hemp (Cannabis sativa L.) is an annual, and dioecious herb belonging to the Cannabaceae family. This plant is native to Central and Southeast Asia. The wild races of this species are commonly growing in Khyber Pakhtunkhwa and Punjab provinces, as well as in Islamabad, Pakistan. This study provides crucial insights into how environmental variables influence the wild hemp populations, which can be utilized in for conservation and breeding. The present study was aimed at evaluating the effects of key environmental factors such as altitude, geographical location, precipitation, relative humidity, maximum, minimum, and average temperature on 16 morpho-agronomic traits of a wild population of hemp growing in the Potohar Plateau and Lesser Himalayas. Our findings indicated that high relative humidity (> 64%), low average temperature (< 15 °C), intermediate average temperature (19–22 °C), and high average temperature (> 22 °C) played significant roles in determining the distribution pattern of the wild hemp. Correlation analysis demonstrated that average annual temperature contributed a higher percentage of variation in phenotypic diversity than geographic variables. Additionally, cluster analysis indicated three groups for the selected 35 populations. Clustering and Principal Component Analysis (PCA) of the morpho-agronomic traits indicated that group 1 from the Lesser Himalayas showed high relative humidity (> 64%) and low average temperature (< 15 °C). Conversely, Group 2 populations from the Potohar Plateau demonstrated intermediate average temperature (19–22 °C). There is an existence of Group 3 in the Potohar Plateau with a high average temperature (> 22 °C) compared to Group 1 and Group 2. Our examination highlights the complex interplay between ecological factors, and morphological attributes in native landraces of Cannabis sativa, giving significant insight into knowledge for preservation and breeding initiatives. A study of genetic diversity could complement morpho-agronomic traits in future research to learn more about how genetic variation affects environmental adaptation.

Welfare assessment of dromedary camels kept under pastoralism in Pakistan.

Standardized welfare assessment protocols are crucial to enhance animal welfare; up to date, there is no data on the level of welfare of camels kept under pastoralism. A tailored protocol for measuring welfare in dromedary camels kept under nomadic pastoralist conditions was recently developed, drawing from the currently available welfare protocol for dromedary camels kept in intensive systems. This study, therefore, aimed to apply the newly developed tailored protocol and assess the welfare of dromedary camels kept under pastoralism in the Southern Punjab Province of Pakistan. A total of 44 welfare indicators (animal-, resource, and management-based measures) aligning with animal welfare principles ("Good Feeding", "Good Housing", "Good Health", and "Appropriate Behavior") were gathered into two assessment levels: "Caretaker-Herd level" and "Animal level". Data were collected in 2023 in the Cholistan desert in the southern Punjab province. Fifty-four herds were evaluated for a total population of 1,186 camels, of which 510 (495 females and 15 males; average age: 5-6 years old) were assessed at the animal level. The indicators were scored and aggregated to obtain Principle Aggregated Indexes (PAIs) and a total Welfare Index (TWI). Using the PAIs classification, 4 herds were categorized as excellent, 42 satisfactory, and 8 unsatisfactory. Total Welfare Index (TWI) varied from 55.7 to 82.2, and the thresholds for classification into tertiles were 65.4 and 70.6. Good feeding and Good housing were the most problematic PAIs, with Good feeding as the most influential variable for classification into welfare categories. As expected, camels kept under pastoralism had a higher level of welfare than those reported in the literature for intensive systems, especially concerning the Appropriate Behavior principle. Our findings are a first step in proposing welfare standards for dromedary in Pakistan and worldwide.

Morphological and molecular evidence for a new species of Russula subgen. Compactae from Pakistan

A new species of Russula has been collected from Punjab and Khyber pakhtunkhwa provinces, Pakistan. Russula punjabensis sp. nov. is characterized by grayish purple to grayish red pileus with brittle central region, white lamellae with brown striations, becoming brown at maturity, a rhizoidal base, small (7.48 × 6.64 µm) subglobose to broadly ellipsoid basidiospores as compared to R. acrifolia (7.7 µm), small (34.80 × 4.35 µm) cylindrical to narrowly fusiform pileocystidia and presence of clamp connections in pileipellis. Phylogenetic analysis based on nuclear ribosomal ITS &amp; LSU nucleotide sequences confirm its novelty.

Relationship of Metacognition with Academic Performance of Prospective Teachers: Modeling Mediation Effect of Digital Literacy

This study examines the relationship between metacognition and academic performance among prospective teachers while modelling the mediation effect of digital literacy. The study was quantitative in nature. In the positivistic paradigm of metacognition research, quantitative relational research design was most appropriate for the research design. 9,680 participants enrolled in a four-year program, i.e. BS Education and B. Ed at the Department of Education in the universities of Punjab Province were the population of the study. A sample of 976 prospective teachers was selected through a stratified random sampling technique. Metacognitive awareness inventory and digital literacy scale were adapted. Data was analyzed using SPSS and AMOS. Pearson product-moment relation revealed that metacognition was positively related to the academic performance of prospective teachers. The statistical results found that digital literacy has a strong moderating influence on the association between metacognition and academic achievement among prospective teachers. Metacognition and digital literacy are found to play a significant effect in improving prospective teachers' academic performance. It is recommended for future studies that examining specific aspects of digital literacy in more depth could yield valuable insights. For instance, research might delve into the role of information fluency or the ability to manage online identities in relation to other indicators of academic success.

Assessing the Arsenic Contents and Associated Risks in Groundwater of Vehari and Lodhran Districts, Pakistan

Exposure to arsenic (As) can induce numerous lethal diseases, such as cancer, cardiovascular issues, skin diseases, and diabetes in humans. The major route of human and animal exposure to As is through drinking As-rich groundwater. This study assessed As occurrence in the groundwater of two districts in the Punjab (Vehari and Lodhran) provinces of Pakistan. Groundwater analysis revealed an average As concentration of 7.7 µg/L (n = 79) in the study area, with a maximum As concentration up to 41.4 µg/L (33% of samples exceeding the WHO limit of 10 µg/L). Arsenic traces were found in animal milk (n = 15, mean: 0.79 µg/L, 17% exceeding 2.0 µg/L), human hair (n = 12, mean: 0.36 µg/g, 17% exceeding 1.0 µg/g), and human nails (n = 8, mean: 0.03 µg/g, none of the samples exceeded 1.0 µg/g). Health risk assessment indices revealed that about 33% of the hazard quotient and 54% of the cancer risk factor exceeded their thresholds. Despite the low–moderate As concentration in groundwater and the accumulation of As in a few biological samples, there is a possibility of potential As poisoning via the long-term and continuous use of groundwater for drinking. Monitoring and blanket testing of wells for As in well water can provide baseline data to minimize the threat of As-mediated arsenicosis in As-affected areas of Pakistan. Moreover, a detailed study of potential As accumulation in biological samples with a higher number of samples is recommended in the area.

The Role of E-Leadership on Sustainable Employee Performance with the Mediating Effect of Perceived Team Dynamics and Moderating Effect of Organizational Support

The purpose of the study is to investigate the interaction between e-leadership and sustainable performance and how this relation is affected by perceived team dynamics and perceived organizational support in software development houses. Using an empirical approach, the current study is based on quantitative research, collecting responses through online surveys from the employees of software development companies present in three main cities of Punjab province, Pakistan. Purposive sampling techniques have been used and different statistical techniques have been applied for the analysis of data. The results showed a significant relation between e-leadership and employee sustainable performance. There exists a positive mediating and moderating effect of perceived team dynamics and perceived organizational support respectively. This research has contributed to the literature on e-leadership and using the mediating and moderating effect of perceived team dynamics and perceived organizational support specifically in software development companies for sustainable employee performance.

Economic, social, and administrative barriers to achieving the sustainable development goal of good health and well-being

Good health and well-being are embedded in the 3rd Goal amongst the UN Sustainable Development Goals. The primary objective of this research was to identify the most critical economic, social, and administrative barriers to implementing the Expanded Program on Immunization (EPI) in the Punjab Province of Pakistan. A sequential exploratory design and case study technique were used, employing both qualitative and quantitative methods. In the first stage, in-depth interviews with 50 key officials were conducted to identify the most critical barriers to the EPI program. A quantitative analysis was then performed based on the results obtained from qualitative analysis, and rank orders of barriers were received from the same health department experts. The results indicate that twenty-eight barriers can cause implementation problems for this program. Still, the ten barriers that gained the maximum hits are the most important barriers, which include Shortage of vaccinators, mismanagement of vaccines’ cold chain, biometric android application, ice-lined refrigerators, communication gap, inadequate legislation of EPI program, capacity building issues with EPI staff, Misconceptions about EPI program, lack of awareness of the parents and community, refusal cases and inadequate cooperation of lady health workers (LHWs). Coordinated efforts of the government and the public are highly recommended to address these barriers.

Moderating effect of sleep quality in the relationship between coping and distress among medical students.

The present study examined the moderating effects of sleep quality in the relationship between coping and distress among medical college students. Present study was conducted to ensure the mental health of medical students and to dig out the reasons behind their disturbed health which can directly impact their performance at work. The study utilized a cross-sectional survey and was distributed to students at various medical institutions in the Punjab province of Pakistan from October 2019 to June 2020. The sample comprised 369 participants (120 males; 32.5%). The survey included the Pittsburgh Sleep Quality Index (PSQI), Kessler Scale of Psychological Distress (K10), Brief Cope Scale, and Wong and Law Emotional Intelligence Scale. The results showed there was a significant relationship between coping and distress. More specifically, adaptive coping and distress were negatively associated (r=-.24), and maladaptive coping and distress were positively associated (r=.46). Moreover, the present study found that poor sleep quality was a significant positive predictor of distress. Moderation analysis showed that sleep quality was a significant moderator in the relationship between adaptive coping and distress (ΔR2=.011, β=-.36, p<.01) as well as between maladaptive coping and distress (ΔR2=.021, β=-.17, p<.01). The study's findings clearly showed that sleep quality is a significant moderator in the relationship between coping (both adaptive and maladaptive) and distress among medical students.

Enhancing Drought Risk Assessment in the Punjab, Pakistan: A Copula-Based Modeling Approach for Future Projections

Abstract Drought is one of the most complicated and challenging natural hazards, which occurs nearly in every part of the world and poses recurring challenges to agriculture, food security, livestock, human health, and water management. Pakistan has a long history of drought; however, this study focuses on drought analysis and projection in the province of Punjab, Pakistan, as it provides around 60% of the country’s food product, significantly contributing to the national food supply and economy. This study utilized the previous 56 years (1962–2017) of climate data to calculate the reconnaissance drought index (RDI) and then extracted the drought variables of durations and severity for each meteorological station. The best-fit marginal probability distribution and copula models were chosen for the stations based on numerical as well as graphical evaluation. Lognormal and exponential probability distributions, as well as Gumbel, are selected as the best-fit probability distributions for both drought characteristics and bivariate copula model, respectively, for projections. From the projections, we can infer that the smaller return periods indicate high vulnerability while longer return periods with low vulnerability. The results suggest that Faisalabad, Bahawalpur, Bahawalnagar, and Multan stations have the lowest return periods, indicating high vulnerability, and may experience drought more frequently in the future. Mianwali, Khanpur, Lahore, and Sialkot stations may have an intermediate vulnerability to drought events. The stations of Jhelum, Murree, and Sargodha have larger return periods, implying lower susceptibility to drought events in the future. The projected results provide insights for policymakers and stakeholders to optimize the risk of droughts on agriculture production, livestock, water management, human health, and food security in Punjab, Pakistan.

Vitamin D Deficiency Prevalence in Pakistan: Common, Important, and Neglected: A Comprehensive Meta-Analysis

Abstract Vitamin D is crucial for normal body metabolism. Two important vitamin D sources are synthesis in the lower layers of the skin (90%) and diet (10%). This systematic review and meta-analysis attempted to determine the incidence of vitamin D deficiency in Pakistan by using the findings of numerous cross-sectional studies. For subgroup analysis, a population-based subgroup analysis and a geographical location-based subgroup analysis were done. Different search techniques were utilized on various databases using the terms “vitamin D deficiency,” “Pakistan,” and “prevalence.” The article names and abstracts were scrutinized, and associated complete texts were evaluated. The articles that satisfied the inclusion requirements were chosen for the meta-analysis. The I 2 test was used to determine heterogeneity. They were combined with the random-effect method. Out of 429 articles, 37 studies, with a total sample size of 19,338, were selected for the final analysis. The highest and lowest reported percentages observed were 100% and 15%, respectively. The overall pooled prevalence reported was 78% (95% CI = 74.2–82%). In subgroup analysis, children/adolescents showed a higher pooled prevalence of 84% (95% CI = 76.1–93.6%), and among province-wise subgroup analysis, Punjab province has shown a higher pooled prevalence of 84% (95% CI: 74–94%). Meta-analysis of the data showed a higher proportion of the population with deficient states. Interventions in public health are essential to address the high incidence of vitamin D insufficiency. Vitamin D levels can be increased, and related health concerns can be minimized through dietary supplementation, recommended sun exposure, and awareness initiatives.

Effect of Democratic Leadership on Project Success in Higher Education Sector

This paper investigates the leadership practices in the Higher Education Commission projects of Punjab, Pakistan. Democratic Leadership looks the most appropriate in the world but it has not been investigated in the Pakistan Higher Education Sector projects. The research approach in this study is positive therefore it is a quantitative study. The sample size is only 86 because the target population of this paper is the higher education sector of the Punjab province. In this research, SPSS has been used for the data analysis. The reliability and regression tests were performed. The results indicate that the Democratic leadership significantly impact the project success. This research is cross sectional as data was collected one time, though in future this research will be conducted in whole Pakistan and then South Asia.

Impact of Reflective Practice on the Successful Implementation of Teacher Education Programs: A Case Study of Punjab Province

The study set out to investigate the relationship between reflective practice and the successful implementation of teacher education programs in Punjab. A quantitative research design was applied. The numerical data was collected to find the patterns and relationships regarding reflective practice and its effects. Teachers from different educational levels within the Punjab Education Department comprised the population, and we selected a sample of 250 teachers through simple random sampling to ensure representativeness. Data was collected using a self-developed questionnaire, including closed-ended questions to capture comprehensive insights. Expert review and factor analysis ensured the validity of the tool, and Cronbach's alpha and test-retest methods assessed its reliability. The results demonstrated a positive correlation between reflective practice and teaching effectiveness, confidence, and classroom management. Besides, the demographic analyses indicated that senior teachers and those in rural areas saw greater benefits from reflective practices. To maximize professional development, reflective practice requires customized programs and collaborative cultures, according to the study.

Adoption of virtual library systems and services in university libraries: an empirical investigation from the Punjab, Pakistan

Purpose This study aims to identify the status of virtual library system development in university libraries. It also attempted to examine the availability of virtual library services and reveal the challenges being faced by university librarians of Punjab province, Pakistan in providing virtual library services. Design/methodology/approach The study used a quantitative research method by using a questionnaire to address the study’s objectives. In total, 62 university libraries in Punjab province, Pakistan were the population of the study. A purposive sampling technique was applied to gather the required data from the respondents. Findings Results showed that most of the study’s respondents are well aware of the potential benefits of virtual library systems in universities for the delivery of innovative smart services to library patrons. The libraries delivered different virtual library services to meet the diverse needs of the library patrons. The respondents faced the challenges of funding, expertise, technical support, leadership, strategic planning and training to adopt virtual library systems and services in university libraries. Originality/value The study has provided a framework based on empirical findings of the study to efficiently adopt virtual library systems and services in university libraries for the delivery of smart services to end users. It has provided pertinent theoretical and practical implications.

Impact of lining of irrigation canals on groundwater recharge: A case study from Punjab province in Indus River basin of Pakistan

The Canal irrigation network of Pakistan's Indus River Basin (IRB) is one of the world's largest gravity-flow networks, with a significant portion located in Punjab province. The conveyance, delivery, and application of this water to the irrigated crops in the basin result in the loss of more than 50% of its water. This loss of water from the irrigation system is a major source of recharge for the large alluvial aquifer underlying the IRB. Canal lining is carried out as a measure to reduce seepage losses from the conveyance system of irrigation water. On the other hand, canal lining is considered a barrier to aquifer recharge. A study titled “Impact assessment of canal lining in Punjab,” funded by JICA, has been carried out in order to interrogate the comparative performance of lined and unlined canals and their impact on groundwater recharge. We measured seepage losses from 14 selected irrigation-lined canals in Punjab province under actual field conditions using ponding and/or inflow-outflow methods. Results have been compared with pre-lining seepage rates. The results indicate that canal lining has reduced seepage losses by 78%. The heavy pumping in fresh groundwater areas invites saline groundwater from adjacent saline zones. The canal flows at the head have reduced the recharge to groundwater by 9%. Nonetheless, saving from seepage losses by canal lining has increased available water for crops, but it has decreased groundwater recharge.

Molecular prevalence, epidemiology, and phylogenetic analysis of Babesia microti in dogs with a note on its impact on host hematological profile

Babesia (B.) microti is an intra-erythrocytic protozoan parasite that infects humans as well as domestic and wild animals. Prevalence of B. microti was investigated in 654 apparently healthy dogs belonging to 55 different breeds from three districts in Punjab province (Muzaffargarh, Bahawalpur and Jhang) and two districts in Khyber Pakhtunkhwa province (Dir Upper and Charsadda) in Pakistan. The hematological profile of dogs, risk factors associated with the infection and phylogenetic diversity of the detected isolates were also evaluated. In total, 29 blood samples (4 %) scored PCR positive. Sanger sequencing of partial 18S rRNA gene confirmed the presence of B. microti. The phylogenetic analysis of the sequences based on the 18S rRNA gene displayed global phylogenetic similarity with the isolates that were previously documented from Russia, France, Poland, Spain, China, Japan and USA. The infection rate was consistent across different sampling sites and dog breeds. Sex or presence of ectoparasites on dog was also not associated with B. microti prevalence. Babesia microti infected dogs had elevated red cell distribution width-coefficient of variation (%) than uninfected animals. This study presents updated data about the prevalence of B. microti among local Pakistani dogs and will be helpful in designing control strategies against this tick-borne pathogen as the tick infesting a B. microti infected dog may transmit this parasites to human as well.

Molecular Characterization and Phylogenetic Analysis of Fasciola gigantica Based on ITS-1 Genetic Marker and copro-epidemiological Survey from Ruminants of Pakistan.

Fascioliasis is a zoonotic parasitic disease spread by genus Fasciola that causes considerable health and economic losses to both humans and livestock. Pakistan is an endemic region for fascioliasis and only a few molecular studies have been conducted to describe the etiology of disease in the country. Current study involved the molecular characterization of adult fluke specimens (n = 31) through ITS-1 region of rDNA collected from four host species (sheep, goats, cattle and buffaloes) of district Sargodha. Moreover, coprology based epidemiology (n = 28620) and association of different risk factors with disease prevalence was also determined. Additionally, an overview of prevalence of fascioliasis in Pakistan, including molecular studies in the four provinces and livestock species, was also carried out. The phylogenetic analysis revealed that Fasciola gigantica was the main etiological agent infecting the livestock species of this region. The coprological survey revealed an overall prevalence of 30.18% among the livestock species (sheep = 32.31%, goats = 30.67%, cattle = 31.01%, buffaloes = 25.23%). It was inferred that females were slightly more susceptible to infection (32.59%) and that the older age group had higher infection rate (34.01%) in all the host species. The current study suggests that fascioliasis is a disease of primary concern indicating its status as one of the prevalent diseases affecting livestock in this region. It was also concluded that both Fasciola gigantica and Fasciola hepatica existed among the infected animals in addition to presence of hybrid/intermediate form in Pakistan with F. gigantica as dominant species in Punjab province.

Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data.

Precipitation extremes have surged in frequency and duration in recent decades, significantly impacting various sectors, including agriculture, water resources, energy, and public health worldwide. Pakistan, being highly susceptible to climate change and extremes, has experienced adverse events in recent times, emphasizing the need for a comprehensive investigation into the relationship between precipitation extremes and crops production. This study focuses on assessing the association between precipitation extremes on crops production, with a particular emphasis on the Punjab province, a crucial region for the country's food production. The initial phase of the study involved exploring the associations between precipitation extremes and crops production for the duration of 1980-2014. Notably, certain precipitation extremes, such as maximum CDDs (consecutive dry days), R99p (extreme precipitation events), PRCPTOT (precipitation total) and SDII (simple daily intensity index) exhibited strong correlations with the production of key crops like wheat, rice, garlic, dates, moong, and masoor. In the subsequent step, four machine learning (ML) algorithms were trained and tested using observed daily climate data (including maximum and minimum temperatures and precipitation) alongside model reference data (1985-2014) as predictors. Gradient boosting machine (GBM) was selected for its superior performance and employed to project precipitation extremes for three distinct future periods (F1: 2025-2049, F2: 2050-2074, F3: 2075-2099) under the SSP2-4.5 and SSP5-8.5 derived from the CMIP6 (Coupled Model Intercomparison Project Phase 6) archive. The projection results indicated an increasing and decreasing trend in CWDs (maximum consecutive wet days) and CDDs, respectively, at various meteorological stations. Furthermore, R10mm (the number of days with precipitation equal to or exceeding 10mm) and R25mm displayed an overall increasing trend at most of the stations, though some exhibited a decreasing trend. These trends in precipitation extremes have potential consequences, including the risk of flash floods and damage to agriculture and infrastructure. However, the study emphasizes that with proper planning, adaptation measures, and mitigation strategies, the potential losses and damages can be significantly minimized in the future.

A novel mutation in SETX and ATM causes ataxia in consanguineous Pakistani families.

Ataxia is usually caused by cerebellar pathology or a decrease in vestibular or proprioceptive afferent input to the cerebellum. It is characterized by uncoordinated walking, truncal instability, body or head tremors, uncontrolled coordination of the hands, dysarthria, and aberrant eye movements. The objective of the current investigation was to identify the underlying genetic cause of the hereditary ataxia that affects the Pakistani population. We studied numerous consanguineous Pakistani families whose members had ataxia-related clinical symptoms to varying degrees. The families were chosen from the Punjab province, and the neurophysician conducted a clinical examination. Peripheral blood samples from both sick and healthy members of the family were taken after obtaining informed consent. Genomic DNA was used to find potential variations in probands using whole exome sequencing. The study was carried out at the University Hospital of Tübingen, Germany, and Government College University in Faisalabad, Pakistan, during 2018-2023. The molecular analysis of these families identified different variants including SGCB: c.902C>T, c.668G>A, ATM: c.6196_6197insGAA, SPG11: c.5769del, SETX c.5525_5533del, and ATM: c.7969A>T. A noteworthy mutation in ATM and SETX was observed among them, and its symptoms were shown to cause ataxia in these families. The current study broadens the mutation spectrum of several hereditary ataxia types and suggests the next generation sequencing in conjunction with clinical research for a more accurate diagnosis of overlapping phenotypes of this disorder in the Pakistani population.

An Investigation on the Effect of Prior Knowledge on Farmers' Decisions to Use Computers in Agriculture: Empirical Evidence from Rural Punjab, Pakistan

This study deeply analyzes the complex relationship between internal factors, such as farmers' existing computer knowledge, and adoption within the context of Pakistan's agricultural sector. To collect the data from a random sample of 416 farmers drawn from Punjab Province's five agro-ecological zones, surveys were conducted on computer knowledge and adoption intentions. The results would then reveal that although farmers still enjoy the benefits associated with computers, they actually require better skills on some specified hardware and related services in order to conduct prime activities such as assessing e-portals, online market search, and keeping financial, livestock, business planning, and payroll records. Specifically, the study outcomes go beyond those of the conventional adoption models since it shows that behavioral intentions could directly formed by a influence of prior knowledge. The study points to targeted interventions by extension professionals and policymakers towards preparing the farmers with all the computer skills required in their work, promoting digital inclusion towards the eventual development of agriculture.