Role of Agriculture in making India $5 trillion Economy under Corona Pandemic Circumstance

Singh, Anil Kumar; Upadhyaya, Ashutosh; Kumari, Sonia; Sundaram, P; Jeet, Pawan

doi:10.21921/jas.v6i02.18097

Cited by 22 publications

(19 citation statements)

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“…Agriculture is one of the major pillars of the Indian economy, which stumps up $400 billion to the economy and involves a total of 58% of the Indian population [1]. Even during the global pandemic of COVID-19, the agricultural sector of India had played an extensive role in the Indian economy despite the humongous disorganization [2,3].…”

Section: Introductionmentioning

confidence: 99%

Rainfall Forecasting Using Machine Learning Algorithms for Localized Events

Ganapathy¹,

Srinivasan²,

Datta³

et al. 2022

Computers, Materials &Amp; Continua

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A substantial amount of the Indian economy depends solely on agriculture. Rainfall, on the other hand, plays a significant role in agriculturewhile an adequate amount of rainfall can be considered as a blessing, if the amount is inordinate or scant, it can ruin the entire hard work of the farmers. In this work, the rainfall dataset of the Vellore region, of Tamil Nadu, India, in the years 2021 and 2022 is forecasted using several machine learning algorithms. Feature engineering has been performed in this work in order to generate new features that remove all sorts of autocorrelation present in the data. On removal of autocorrelation, the data could be used for performing operations on the time-series data, which otherwise could only be performed on any other regular regression data. The work uses forecasting techniques like the AutoRegessive Integrated Moving Average (ARIMA) and exponential smoothening, and then the time-series data is further worked on using Long Short Term Memory (LSTM). Later, regression techniques are used by manipulating the dataset. The work is benchmarked with several evaluation metrics on a test dataset, where XGBoost Regression technique outperformed the test. The uniqueness of this work is that it forecasts the daily rainfall for the year 2021 and 2022 in Vellore region. This work can be extended in the future to predict rainfall over a bigger region based on previously recorded time-series data, which can help the farmers and common people to plan accordingly and take precautionary measures.

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Section: Introductionmentioning

confidence: 99%

Rainfall Forecasting Using Machine Learning Algorithms for Localized Events

Ganapathy¹,

Srinivasan²,

Datta³

et al. 2022

Computers, Materials &Amp; Continua

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“…49% of the population in the nation is involved in agriculture and related activities (Census 2011) [2] . The contribution of agriculture and allied sectors to the Gross Domestic Product (GDP) is declining steadily with the country's broad-based economic growth (Singh et al, 2020) [6] . Because of changing climatic conditions agriculture becomes a challenging task for the farmers.…”

Section: Introductionmentioning

confidence: 99%

Participatory rural appraisal for detecting the climatic conditions in Sriram Nagar village, Rangareddy district

Sriharsha¹,

Kumari²,

Kumari³

2021

Pharma Innovation

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Agriculture is the main occupation for the people living in rural India. 49% of the population in the nation is involved in agriculture and related activities (Census 2011). Because of changing climatic conditions agriculture becomes a challenging task for the farmers. PRA aims to find all available resources, the relation between the villages to the other institutions, and prepared a map with the help of villagers. In this study, various PRA tools were used for the identification of problems in Sriramnagar village of the Rangareddy district of Telangana state. Based on the observations during transect walk and at the time of group discussions, by using different PRA tools the data was collected from the villagers. Results revealed that in the village the major soil is red sandy soil, vegetables, rose, lily, paddy, cotton are the major crops, animals are hen, buffalo, cow, and goat. Only one drinking water source is present at Panchayat Office. Maximum rainfall is between June to September. National Institute of agricultural extension management (Manage) have more impact on their day to day life. The majority of the respondents had landholding between 1-2 acres have pakka house and annual income of up to Rs. 50000. Most of them belong to a middle-class family and falls under other cast community. Three canals and four check dams present around the village but these dams are filled with sand. From 2017 onwards Telangana government providing water facility to the village under mission Bhageradha scheme. By changing the time periosmany changes have occurred in villagers food habits, climate, and agricultural practices. stationary, fertilizers, seeds (for agriculture) fruits, sorghum, clothes, jewelry, etc… products are imported into the village from outside market and vegetables, rice, cotton, maize, flowers (Rose, Lilly) poultry, milk, etc. are exported from the village to outside market concluded that the major problems are water facility for irrigation. Because of climate change, the rainfall percentage is very low. Unemployment because of the low literacy rate. Villagers were not having a proper public transport facility.

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“…Nevertheless, as per WHO (2020) has officially declared outburst of Covid-19 as a global pandemic (Vanelli and M, 2020). The pandemic was escalating very rapidly worldwide because of which protection measure cost for humans was inflecting and as a result, the world's economic activities were suspended (Singh et al, 2020). According to the IMF (2020), it has been estimated that the global economy is projected to reduce sharply by -3 percent in 2020, which is much worse than 2008-2009.…”

Section: Introductionmentioning

confidence: 99%

Study on crop losses due to COVID-19 lockdown period in Nagaon district of Assam

Kalita

Hazarika²,

Rahman³

et al. 2021

Journal of AgriSearch

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An online survey was performed among the different categories of farm households in Nagaon district, Assam. Out of 300 cropped based agricultural farm households, of farmers were selected randomly and were grouped in accordance to their operational holdings viz. marginal (<1 ha), Small (1.01 to 2 ha), Medium (2.01 to 4 ha) and large (>4.01 ha). The necessary information was collected through their Whatsapps, messages and telephonic conversation from different 43 revenue villages. With a view to estimate the loss of crops cultivated during Lockdown Period (24th March, 2020 to 18th April, 2020) due to COVID 19 and determines the loss percentage of different crop enterprises for each group of farmers with district as a whole. After analyzing the received information it was found that large farms suffered maximum (71.69%) due to small tea garden and betel vine and medium farms incurred loss of about 61.33%. the overall loss of crops was 68.96% . The loss was found to be chiefly due to acute shortage of field labourers following COVID 19 restrictions during Lock Down period 1. As a result of which plucking, harvesting, marketing etc. all are at halt.

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Role of Agriculture in making India $5 trillion Economy under Corona Pandemic Circumstance

Cited by 22 publications

References 0 publications

Rainfall Forecasting Using Machine Learning Algorithms for Localized Events

Rainfall Forecasting Using Machine Learning Algorithms for Localized Events

Participatory rural appraisal for detecting the climatic conditions in Sriram Nagar village, Rangareddy district

Study on crop losses due to COVID-19 lockdown period in Nagaon district of Assam

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