Districts Of Tamil Nadu Research Articles

Application of Indigenous Technological Knowledge (ITK) for Plant Disease Management in Tamil Nadu, India

Most of the farmers in our country highly depend on chemical pesticides and fungicides to control pests and diseases in agriculture and horticultural crops. Abundant usage of these pesticides in crop fields causes harmful effects to human beings as well as to other living organisms. The harmful effects of these chemicals brings the emergency call for ecofriendly and hazard free sustainable agriculture. Indigenous technological knowledge (ITK) originates from local, rural communities and it can play an important role in organic agriculture. The ITKs are eco-friendly and compatible with various agricultural management practices particularly pest and disease management. Application of ITK in crop management, contributing towards chemical residue-free agricultural products. The farmers of Tamil Nadu state in India profusely use the chemical pesticides and fungicides to control crop pests and diseases even though most districts in Tamil Nadu have their own ITK practices with respect to location specificity. Hence, an attempt has been made to document some of the significant and effective ITKs followed by the farmers in Tamil Nadu for the management of crop diseases. This paper contains an overview of Indigenous Knowledge in Plant diseases management to help researchers in the future.

A Study on Consumption Pattern of Household in Vallanadu, Thoothukudi District of Tamilnadu, India

The study focussed on the consumption pattern of rural households to analyse household consumption expenditure on both food and non food items. The present study used the primary data collected from rural households in Vallanadu village of Thoothukudi district in Tamilnadu using the questionnaire. In demographic details,we have observed that the average family size of the household is 4.The village has almost equal population of male and female.Then the village has comparatively higher male adult than the female adult , higher male children than the female children. In profession the most of the village people has only primary income for their survival and only few people has secondary income in additional to primary income. In land holding pattern, the village has the highest wetland area for farming and food source.In cropping pattern, the major crop grown in vallanadu is paddy. In household assets, TV & Bike are the most available household assets. In Household consumption expenditure,the consumption of the cereals is comparatively higher than the pulses. In non-food expenditures, most of their income is spend for the education purpose.percapita consumption as highest for cereals with 400g and 177g per day of vegetables.

Assessing the Effectiveness of Various Decomposers in Sugarcane Trash Composting

Sugarcane produces about 10 to 12 tonnes of dry leaves per hectare per crop. The detrashing is done during its growth period. This trash contains organic carbon, nitrogen, phosphorus, potassium. The sugarcane trash incorporation in the soil influences physical, chemical and biological properties of the soil. There is a reduction in soil EC, improvement in the water holding capacity, better soil aggregation and thereby improves porosity in the soil. Villupuram district one of the highest sugarcane producing district in Tamil Nadu. The farmers in this district are not aware about the sugarcane trash composting and burning the trashes in the field itself. Burning of sugarcane trash is a hazardous practice which has affected soil health, air, human health etc. leading to massive impact as well as monetary losses. The present study aimed at assessing the various decomposers in sugarcane trash. the average compost yield of TNAU Biomineralizer is 1.04 ton whereas the compost yield of Waste decomposer is 1.23 tonnes and which is 18 % increase over TNAU Biomineralizer. Regarding the duration of composting process, the waste decomposer taken only 63 days in an average to decompose the sugarcane trash whereas TNAU biomineralizer taken 73 days in average to decompose the sugarcane trash. The composting process is faster in waste decomposer applied sugarcane heap than the TNAU Biomineralizer applied heap. The C:N ratio of TNAU bio mineralizer applied sugarcane trash was 28:1 whereas the C:N ratio of waste composer applied sugarcane trash was 25:1. Composting process is faster in waste decomposer applied sugarcane heap than the TNAU Biomineralizer applied heap. The compost yield was also comparatively high in waste decomposer applied sugarcane heap.

Adoption of Cashless Transaction by the Farming Households in Coimbatore District of Tamil Nadu, India

Aims: The research study aims to study the level of adoption and factors influencing the adoption of cashless transaction by the farming households in farming and non-farm activities.
 Study Design and Methodology: A development index for Tamil Nadu districts, prioritizing e-infrastructure, was crafted from secondary data on agriculture, health, infrastructure, and telecommunication. Coimbatore, with a high development index, was selected using a three-stage stratified random sampling approach involving 120 households. Utilizing tools like the development index, econometric models, scoring/ranking techniques, and non-market valuation methods, values ranged from 0 to 1, indicating low to high development. An adoption index classified respondents into low, medium, high, and very high adopters, evaluating cashless transaction adoption. The logit model pinpointed factors influencing cashless transaction adoption among farm households.
 Results and Conclusion: This study shows a gradual shift towards cashless transactions among farmers, primarily driven by government policies promoting bank account usage for subsidies and loans. In Coimbatore, a developed district in Tamil Nadu, the adoption index is 63 per cent for non-agricultural and 44 per cent for agricultural transactions, highlighting a significant difference. The slow adoption is attributed to incomplete sales portal transformation and farmers' limited awareness of online platforms for input purchases. Despite challenges, farmers exhibit a positive attitude, emphasizing the importance of addressing issues such as financial literacy, internet connectivity, and infrastructure for successful cashless transactions.

Areca nut cultivators from Tamil Nadu: Is the nut their friend or foe – A questionnaire study

Objective: The present study was done to evaluate the awareness of people involved in cultivation of areca nut from Tamil Nadu on various oral and systemic health effects of chewing areca nut. Material and Methods: A cross-sectional study was conducted among areca nut cultivators from various districts of Tamil Nadu. People involved in the cultivation of areca nut were included in the study. 500 individuals participated in the study. They were instructed to complete a pre-tested questionnaire with 25 questions. Results: 58% of the participants were males and 42% were females. Dryness of the mouth from decreased production of saliva due to areca chewing was known to 57% of the study participants. 39% of the participants were aware of addiction. Oral cancer from areca nut chewing in various forms with/without tobacco was also known to 51% of them. 86% of them were prepared to quit the habit and 92% of them admitted that government has banned the sale of commercial pan masala products. Conclusion: The study evaluated the awareness of oral and systemic effects of chewing areca nut among people involved in cultivation of areca nut from rural parts of Tamil Nadu. Appropriate regulatory measures are critical for educating people from a variety of occupational and socioeconomic backgrounds in both rural and urban areas.

Selection of crop varieties and yield prediction based on phenotype applying deep learning

<div align="center"><span lang="EN-US">In India, agriculture plays an important role in the nation’s gross domestic product (GDP) and is also a part of civilization. Countries’ economies are also influenced by the amount of crop production. All business trading involves farming as a major factor. In order to increase crop production, different technological advancements are developed to acquire the information required for crop production. The proposed work is mainly focused on suitable crop selection across districts in Tamil Nadu, considering phenotype factors such as soil type, climatic factors, cropping season, and crop region. The key objective is to predict the suitable crop for the farmers based on their locations, soil types, and environmental factors. This results in less financial loss and a shorter crop production timeframe. Combined feature selection (CFS)-based machine regression helps increase crop production rates. A brief comparative analysis was also made between various machine learning (ML) regression algorithms, which majorly contributed to the process of crop selection considering phenotype factors. Stacked long short-term memory (LSTM) classifiers outperformed other decision tree (DT), k-nearest neighbor (KNN), and logistic regression (LR) with a prediction accuracy of 93% with the lowest classification accuracy metrics. The proposed method can help us select the perfect crop for maximum yield.</span></div>

DIVERSITY OF STINGLESS BEES, Tetragonula sp. (HYMENOPTERA: APIDAE) IN TAMIL NADU, INDIA

The present study was conducted to find the diversity of stingless bees (Tetragonula sp.) in Coimbatore, Madurai, Dindigul, and Trichy districts in Tamil Nadu, India. Adult worker bees were collected from feral stingless bee colonies from 16 locations, four from each district. The collected stingless bees were preserved in 70% alcohol (ethanol) and examined under a Leica stereo zoom microscope. Seventeen morphometric key characteristics were measured to know the diversity of stingless bees. The results revealed that two species of stingless bees, Tetragonula iridipennis and T. laeviceps were prevalent in the four selected districts of Tamil Nadu. Four vital morphometric characters of the worker bees namely the head width, the forewing length, the hind tibial length, and the whole body length helped to distinguish the two Tetragonula sp. Among all the locations, the bees collected from L1- Insectary, TNAU, Coimbatore had much higher values of the above four morphometric characters (1.67mm ± 0.04, 3.69mm ± 0.02, 1.53mm ± 0.01 and 3.98mm ± 0.14 respectively) and were identified to be T. laeviceps based on these key morphometric characters. The bees from rest of the 15 locations which had the morphometric values 1.59 to 1.61 mm, 3.20 to 3.41mm, 1.34 to 1.43mm and 3.51 to 3.65mm respectively were categorized as T. iridipennis.

Performance analysis of groundwater quality index models for predicting water district in Tamil Nadu using regression techniques

The widespread utilization of groundwater in various sectors, including households for drinking purposes and the agricultural and industrial domains, has elevated its status as an indispensable and crucial natural resource. Groundwater has seen significant changes in both quantity and quality factors. Water Quality Index (WQI), which is dependent on a number of factors, is still a crucial gauge of water quality (WQ) and a key component of efficient water management. If there is an automated method for forecasting WQ, the administration will benefit. The main goal of this project is to develop a machine learning (ML) model to forecast the quality of groundwater in several areas of Tamil Nadu (TN), India. The available dataset encompasses comprehensive data groundwater attributes, encompassing parameters such as pH, electrical conductivity (EC), total hardness (TH), calcium (Ca[Formula: see text], magnesium (Mg[Formula: see text], sodium (Na[Formula: see text], bicarbonate (HCO[Formula: see text], nitrate (NO[Formula: see text], sulfate (SO[Formula: see text], and chloride (Cl[Formula: see text]. In this study, various ML regression algorithms such as linear, least angle, random forest and support vector regressor models and their comparison with the ensemble model (EM) were depicted to predict WQI, and the results were evaluated using performance metrics. It is found that the EM has a lower RMSE in the order of [Formula: see text]. Further, the predicted WQI values are used to classify the districts of TN.

Assessing the Performance of Latest Greengram Varieties under Improved production Packages in Thiruppur, Tamil Nadu, India

On Farm Testing (OFT) in Mungbean Yellow Mosaic Virus (MYMV) resistant and high yielding greengram varieties was conducted by Krishi Vigyan Kendra, Tamil Nadu Agricultural University, Tirupur in farmers field during kharif 2020. Totally 15 farmers each with one acre were selected in three villages of Pongalur Block in Tirupur district of Tamil Nadu. Critical input viz., seeds of greengram varieties CO 8 and DGG 1 were distributed to the farmers and the varietal performance were assessed along with the existing variety under cultivation VBN 2. The plant physiological parameters viz., plant height, number of nodules / plant and yield attributing parameters such as number of pods / plants, number of branches/plant, Mung bean Yellow Mosaic Virus (MYMV) disease incidence (%), yield (q ha-1) and B:C ratio were recorded. The results revealed that, among the three varieties, Greengram CO 8 was recorded more number of pods (42) and minimum incidence of Mungbean Yellow Mosaic Virus (MYMV) disease incidence of 3.2 per cent resulting in the highest yield of 9.5 q ha-1 followed by DDG 1 with 34 pods/plant, MYMV disease incidence of 7.3 per cent and yield of 8.4 q ha-1 compared to the existing variety VBN 2, which recorded the lowest number of pods (31 Nos.), yield (7.6 q ha-1) with the highest MYMV disease incidence (12.5%). The highest B:C ratio was recorded in greengram variety CO 8 (2.92) which was followed by DDG 1 (2.58). It was concluded that, farmers of Tirupur district in Tamil Nadu were satisfied with cultivation of greengram CO 8 variety due to the lowest disease incidence, higher yield and Benefit Cost Ratio.

Analysis of genetic diversity and population structure of Magnaporthe grisea, the causal agent of foxtail millet blast using microsatellites.

Foxtail millet blast caused by Magnaporthe grisea is becoming a severe problem in foxtail millet growing regions of India. The genetic diversity and population structure of foxtail millet infecting M. grisea is crucial for developing effective management strategies, such as breeding blast-resistant cultivars. We analyzed thirty-two M. grisea isolates from ten foxtail millet-growing districts in Tamil Nadu, India for genetic diversity using twenty-nine microsatellite or simple sequence repeat (SSR) markers. A total of 103 alleles were identified with a mean of 3.55 alleles/locus. Gene diversity ranged from 0.170 to 0.717, while major allelic frequencies ranged from 0.344 to 0.906. The polymorphism information content (PIC) ranged from 0.155 to 0.680, with a mean value of 0.465. Population structure analysis of the genomic data sets revealed two major populations (SP1 and SP2) with different levels of ancestral admixture among the 32 blast isolates. Phylogenetic analysis classified the isolates into three major clusters. Analysis of molecular variance (AMOVA) showed high genetic variation among individuals and less among populations. Principal Coordinate Analysis (PCoA) revealed 27.16% genetic variation among populations. The present study provides the first report on the genetic diversity and population structure of the foxtail millet-infecting M. grisea population in Tamil Nadu, which could be useful for the development of blast-resistant foxtail millet cultivars.

Crop Yield Prediction Using With The Simulated Annealing Convolutional Neural Networks (SACNNS) Optimization Algorithm

This paper introduces an innovative approach for precise crop yield prediction in Tamil Nadu, India, a region with diverse agricultural conditions. The Simulated Annealing Convolutional Neural Networks (SACNNs) optimization algorithm is employed to enhance the performance of Convolutional Neural Networks (CNNs). By leveraging a comprehensive agricultural dataset that includes weather information, soil characteristics, and historical crop yields, SACNNs fine-tunes CNN architecture and parameters for improved prediction accuracy. The model excels at predicting crop yields at a local level, accommodating the unique agricultural conditions of different districts in Tamil Nadu. Experimental results highlight SACNNs' superiority in prediction accuracy and robustness compared to conventional CNNs and other optimization methods. These findings offer valuable insights for informed decision-making in agricultural planning and resource allocation, benefiting farmers, policymakers, and stakeholders in the region.

Impact of Integrated Management Practices of Fruit Fly in Bitter gourd

Bitter gourd is cultivated in 125 hectares out of 310 ha occupied by gourds in. Tiruvallur district in Tamil Nadu, India. Fruit fly is the most destructive insect pests attacking bittergourd.The present study was conducted to demonstrate the Integrated Pest Management practices in bitter gourd against major insect pests in 10 farmers’ fields located in four blocks viz., Tiruvalangadu, R.K.Pet, Thiruthani, Ekadu of Tiruvallur district during 2020-2021. Technological gap between recommended practices and actual farmers’ practice was assessed.The front-line demonstration included IPM practices (field sanitation, Installation of fruit fly traps and spraying of neem oil 3%) and Non –IPM practices. Results indicated average fruit yield of 92.50 q/ha, an increase of 10.77% increase in yield over farmers practice as well as a net income of Rs.1,06,450/-. Reduction in cost of cultivation due to less investment for plant protection aspects has been recorded.

A Study on Anxiety of COVID-19 Workers Son’s and Daughter’s of High School Students

This study aims to examine the COVID-19 workers' Son’s and Daughter’s Anxiety issues of high school students. The researcher conducted this study in Villupuram District in Tamil Nadu. The investigator used the normative survey method to collect the data with a sample of 120 high school students. The collected data was analyzed by using SPSS Software. To interpret the data Descriptive analysis and Differential Analysis techniques were used. From the data analysis, the results that were found by the researcher show that ‘t’ and ‘F’ values are no significant difference in the anxiety of COVID-19 Workers Son’s and Daughter of High School Students with respect to their Gender (Male/Female) and Occupation of Students Parents (Doctor/Nurse/Police/Cleaning work) and The study results mean value shows that 5% of students low level, 36.67% of students average level, and the remaining 58.33% of students show a high level ofanxiety.

Influence of psychological variables on divergent thinking in adolescents: A cross-sectional study

Divergent thinking (DT) is a thought process wherein many original ideas are conceptualized and unique suggestions are proffered to identify the best possible solution to a problem; it is an important component of creativity. The present study endeavors to examine the level of DT in school students and the primary factors influencing DT with the help of assessment tests such as Standard Progressive Matrices (SPM), the Emotional Intelligence Scale (EIS test), and Sharma’s Divergent Production Abilities Test (DPA). A cross-sectional study is done using quantitative methodology and probability sampling techniques. The participants of the study are [n = 192 (boys = 106, girls = 86)] school students in the age range of 11–14 years, and the study area is Tiruppur district in Tamil Nadu. Results indicate that DT and EI are negatively correlated with each other, and there is no relationship between DT and intelligence quotient (IQ). Gender differences in DT are identified, with males scoring higher than females on assessment tests. There is no significant difference between the influences of demographic factors like geographical area, economic status, age, birth order, and hand preference on DT. The study’s major conclusion about education is that students at CBSE schools do better than those at private and government-run schools. The performance of government school students is rather poor when compared to CBSE and private schools. This indicates that government school students require proper training, timely assistance, and innovative teaching methods, which lead to the enhancement of DT and creativity.

Comparative Study of Postoperative Macular Thickness Following Uncomplicated Cataract Surgery – Diabetic versus Nondiabetic Patients in a Tertiary Care Center at Chengalpattu District

Background: Cataracts are the most common cause of blindness in the world. This study aims to determine whether cataract surgery has an effect on the progression of macular thickness in nondiabetic and diabetic patients, specifically in the absence of pre-existing diabetic retinopathy (DR) changes. Methods: It is a prospective cohort study carried out between January 2022 and September 2022 at Shri Sathya Sai Medical College, which is a Tertiary Health-care Center situated at Chengalpattu district in Tamil Nadu, after obtaining ethical clearance from the Institutional Review Board. A total of 72 patients posted for cataract surgery were divided into two groups each group of 36 patients, Group 1 well-controlled diabetics without DR planned for cataract surgery and Group 2 nondiabetics. The patients underwent cataract surgery by small incision cataract surgery/phacoemulsification method based on the staging of cataract and also the surgeon’s choice and cataract surgery was done by the same surgeon and the patients were implanted with rigid/foldable intraocular lens. Results: Out of 72 patients analyzed in both the groups, 37 were male patients and 35 were female patients in the age group commonly 50–65 years. The mean age group in the diabetes group was 57.19 ± 9.18 and the normal group was 61.67 ± 7.73. The mean foveal thickness of the DR group was higher than that of the control group, but the difference was not statistically significant. At the end of the 3rd month, the mean foveal thickness returned to near-normal range. Conclusion: The thickness of the fovea is increased after cataract surgery in the 1st week postoperatively in both diabetic and nondiabetic groups and returns to near-normal preoperative value in both the groups at the end of 3 months postoperative period.

Exploration of Exopolysaccharide Producing Bacterial Cultures from Various Drought Affected Region

Exopolysaccharides (EPS) are extracellular macromolecules secreted by microorganisms play a vital role in improving soil aggregation as well as enhancing the water holding capacity of the soils. This study focuses onto the isolation and characterization of bacterial strains capable of producing Exopolysaccharides (EPS) from drought-affected soil regions across different districts of Tamil Nadu. The core objective revolves around the molecular identification of elite cultures and pivotal genes, responsible for EPS production namely dex (dextransucrase) by using the primer pair WConDex fw and WConDex rev at an amplification size of 1037 bp size. A total of 72 bacterial cultures were isolated from 67 soil samples that are capable of secreting EPS using specific medium.

Delineation and Mapping of Ground Water Quality in Kanchipuram District of Tamil Nadu Using GIS Techniques

Agriculture relies heavily on irrigation especially with groundwater which is a significant source in many countries. However, excessive use of groundwater can lead to a decrease in groundwater levels and cause scarcity of water. Irrigation requires good-quality water which is governed by dissolved ions. The groundwater quality is greatly influenced by global population growth, climate change and human activities including mining, agriculture, industrial effluents, seawater intrusion, household usage, etc., A study was conducted to evaluate the quality of groundwater for agriculture in various blocks of Kanchipuram district in Tamil Nadu. The sampling was done during March 2023 and about one hundred and fifty groundwater samples were collected from different blocks of the Kanchipuram district viz., Sriperumbudur(32 Nos), Kundrathur (28 Nos), Walajabad (34 Nos), Uthiramerur (29 Nos) and Kanchipuram (27 Nos). The physio-chemical (pH and EC) and chemical characteristics of the groundwater samples, including the cations Ca2+, Mg2+, Na+, and K+, as well as the anions CO32-, HCO3-, Cl-, and SO42-, were analyzed and the resulting properties were computed (SAR and RSC). The pH and EC values ranged from 3.29 to 8.49 and 0.09 to 5.22 dS m-1, respectively. The Residual Sodium Carbonate (RSC) ranged from nil to 32 meq L-1, while the Sodium Adsorption Ratio (SAR) ranged from 0.19 to 34.78 mmol L-1. According to the CSSRI, Karnal Water Quality Classification about 38 percent of the samples falls in the good quality category, alkali water was about 57.33 percent and Saline water was 4.67 percent in Kanchipuram district. The Good quality water was dominant in Uthiramerur block followed by the Sriperumbudur block. The Saline and Alkali water was dominant in Sriperumbudur and Kanchipuram blocks respectively.

Comprehensive Analysis of the Livelihood Index among Millet Farmers Associated with Farmers Producer Organizations (FPOs) in Madurai District of Tamil Nadu

This study conducted in 2022 across the Sedapatti, Thirumangalam, and Usilampatti Blocks of Madurai District in Tamil Nadu, aimed to explore the Livelihood Index among Millet Farmers associated with Farmers Producer Organizations (FPOs). Employing a sample size of 120 respondents through a proportionate random selection procedure, data collection was facilitated via structured personal interviews. The study unveiled that a majority of respondents (68.33%) exhibited a medium level of livelihood, characterized by access to all five capitals - Natural Capital, Physical Capital, Human Capital, Social Capital, and Financial Capital. Moreover, 19.16% reported a high level of livelihood, while 12.05% experienced a low level, This distribution underscores the varying degrees of resource accessibility among the surveyed individuals, shedding light on the diversity of livelihood conditions within the studied population. The study's findings emphasize that the elevated livelihoods of millet farmers and members of Farmers Producer Organizations (FPOs) are strongly linked to their access to natural capital resources. It becomes evident that there is a notable requirement for improvement, particularly concerning financial capital, followed by social capital and human capital. The enhancement of these aspects holds the potential to empower respondents to efficiently harness the available capitals, thus fostering sustainable livelihoods. This suggests that strategic efforts towards bolstering financial resources, social networks, and individual capabilities are key to optimizing livelihood outcomes in the context of millet farming and FPO engagement.

Isolation and Characterization of Rice Blast and Brown Spot Disease in Different Regions of Tamil Nadu, India

Rice (Oryza sativa L.) is the most important staple food crop cultivated in almost every district of Tamil Nadu. Among the rice fungal diseases, rice blast caused by Pyricularia oryzae and brown spot caused by Bipolaris oryzae are considered to be most potent threats causing major yield losses in Tamil Nadu. The present study aims in identification and characterization of rice blast and brown spot pathogen from different rice growing regions of Tamil Nadu. Three isolates of blast pathogen and five isolates of brown spot pathogen were collected and characterized based on colony morphology and conidial characters. P. oryzae and B. oryzae was identified based on cultural and morphological characters. Molecular characterization of blast and brown spot isolates were done with universal ITS primers. Pathogenicity test was carried out for all the isolates of blast and brown spot and the isolate showing maximum disease incidence was found as virulent one. The present work of morphological and molecular characterization of blast and brown spot pathogen will therefore be helpful to identify and manage the disease effectively in Tamil Nadu.

Women Educators’ Satisfaction while Working from Home During Covid-19

Objective: The study aims to assess women educators’ satisfaction while working from home during COVID-19 in the higher education sector. The women educators were the respondents who work from home during this pandemic period from the four districts of Tamil Nadu.
 
 Theoretical Framework: During the COVID-19 pandemic, educator satisfaction is regarded as an important factor of quality while working from home, especially among women educators. The pandemic forced academic staffs at higher educational institutions to find alternative teaching strategies so that the curriculum could be completed without interruption. The pandemic has caused a tremendous jolt among all educators in higher educational institutions.
 
 Methods: Using the SPSS software, frequency distribution, percentage, and multiple regression analyses were performed on the data. The samples were collected from 120 women educators working in higher educational institutions from the districts of Tamil Nadu namely Ranipet, Tirupattur, Tiruvannamalai, and Vellore. The structured questionnaire, which includes elements related to satisfaction while working from home, is the instrument utilized for data collection.
 
 Results & Conclusion: The findings of the research imply that most of the women educators in the study were not satisfied while working from home during the pandemic and they struggled to work in a home environment, and were not able to deliver the lectures properly using the online digital platform tools and they also had less satisfaction with the modes of communication during online classes.
 
 Implications of the Research: Uma vez que as mulheres se habituam a multitarefas, múltiplos papéis durante o período de pandemia são agitados, portanto, as instituições de ensino superior devem sugerir meios realistas e eficientes de fornecer cursos online por meio do WFH.
 
 Originality/Value: As descobertas do estudo provam que as educadoras não estão satisfeitas com o conceito de trabalho em casa durante o COVID-19.