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What is the need of government subsidy in the Indian farming sector?
Government subsidies in the Indian farming sector are implemented to address several key needs and challenges: Income Stability for Farmers: Agriculture in India is heavily dependent on monsoons and is vulnerable to various natural calamities. Subsidies help in stabilizing farmers' income by providiRead more
Government subsidies in the Indian farming sector are implemented to address several key needs and challenges:
Income Stability for Farmers: Agriculture in India is heavily dependent on monsoons and is vulnerable to various natural calamities. Subsidies help in stabilizing farmers’ income by providing financial support during crop failures or low yield seasons.
See lessAffordable Farm Inputs: Subsidies on fertilizers, seeds, pesticides, and machinery make these essential inputs more affordable for farmers. This ensures that farmers have access to necessary resources for cultivation at lower costs.
Encouragement of Agricultural Production: Subsidies can incentivize farmers to adopt modern agricultural practices, invest in technology, and increase productivity. This can lead to higher yields and contribute to food security in the country.
Mitigation of Market Risks: Price volatility in agricultural markets can lead to significant income fluctuations for farmers. Subsidies such as minimum support prices (MSPs) provide a safety net by guaranteeing a minimum price for their produce, protecting them from market risks.
Rural Development: Agriculture is a major source of livelihood for a large portion of India’s population, especially in rural areas. Subsidies not only support farmers but also contribute to overall rural development by boosting rural incomes, employment, and economic growth.
Promotion of Sustainable Practices: Subsidies can be directed towards promoting sustainable agricultural practices such as organic farming, water conservation, and soil health management. This helps in long-term environmental conservation and ensures the sustainability of agricultural production.
However, it’s worth noting that while subsidies play a crucial role in supporting farmers, there can also be challenges associated with their implementation, including issues of targeting, leakage, and distortions in the market. Thus, effective and targeted subsidy policies are essential for maximizing their benefits while minimizing their adverse effects.
What is big data?
Big data means lots of diverse, fast-moving information that's too big for normal tools to handle, but when analyzed, it gives valuable insights for making decisions and improvements Here are some examples of big data: Social media posts and interactions from millions of users. Sensor data from smarRead more
Big data means lots of diverse, fast-moving information that’s too big for normal tools to handle, but when analyzed, it gives valuable insights for making decisions and improvements
See lessHere are some examples of big data:
Social media posts and interactions from millions of users.
Sensor data from smart devices like fitness trackers and smart thermostats.
Transaction records from online shopping platforms.
Satellite images capturing changes in land use and environmental conditions.
Health records and medical imaging data from hospitals and clinics.
Clickstream data from website visits and online behavior.
Weather data collected from various sources worldwide.
Financial market data including stock prices and trading volumes.
What is edge computing?
Edge computing involves processing data closer to its source rather than sending it to centralized servers, reducing latency and enabling faster decision-making. Examples: Smart thermostats analyzing temperature data within homes to adjust heating or cooling. Self-driving cars processing sensor dataRead more
Edge computing involves processing data closer to its source rather than sending it to centralized servers, reducing latency and enabling faster decision-making.
See lessExamples:
Smart thermostats analyzing temperature data within homes to adjust heating or cooling.
Self-driving cars processing sensor data onboard to make real-time driving decisions.