What is a primary function of machine learning models in modern disaster early warning systems?
Anonymous Quiz
65%
Generating hyperlocal flood advisories
11%
Restricting crowdsourced data
14%
Replacing physical rescue personnel
10%
Blocking unstructured satellite data
โค1๐1
What is the primary objective of the National Green Hydrogen Mission within India's broader renewable energy strategy?
Anonymous Quiz
70%
Decarbonizing hard-to-abate sectors like steel and fertilizers
6%
Replacing all domestic nuclear power plants
12%
Phasing out decentralized rooftop solar panels
12%
Subsidizing the import of thermal coal
๐1
Sleepy Classes IAS
What is the primary objective of the National Green Hydrogen Mission within India's broader renewable energy strategy?
โ๐ ๐ถ๐น๐ฒ๐๐๐ผ๐ป๐ฒ ๐ฅ๐ ๐๐ฎ๐ฝ๐ฎ๐ฐ๐ถ๐๐:
India's renewable energy capacity has crossed 200 GW, with solar and wind power accounting for nearly 45% of total installed electricity capacity.
โ๐ฃ๐ผ๐น๐ถ๐ฐ๐ ๐๐ป๐ฎ๐ฏ๐น๐ฒ๐ฟ๐ & ๐๐ฎ๐๐ฒ๐น๐ผ๐ฎ๐ฑ ๐๐ฎ๐น๐ฎ๐ป๐ฐ๐ฒ:
Growth is driven by policy reforms, transparent auctions, and investor-friendly regulations, while thermal and nuclear power continue meeting growing baseload demands.
โ๐๐ฒ๐ฐ๐ฒ๐ป๐๐ฟ๐ฎ๐น๐ถ๐๐ฒ๐ฑ ๐ฆ๐ผ๐น๐ฎ๐ฟ ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป:
Programs like PM Surya Ghar: Muft Bijli Yojana and PM-KUSUM empower rural farmers and urban households to transition from consumers to energy producers.
โ๐๐ฟ๐ฒ๐ฒ๐ป ๐ ๐ฎ๐ป๐๐ณ๐ฎ๐ฐ๐๐๐ฟ๐ถ๐ป๐ด & ๐๐๐ฑ๐ฟ๐ผ๐ด๐ฒ๐ป:
PLI schemes accelerate domestic solar manufacturing, while the National Green Hydrogen Mission aims to decarbonize hard-to-abate sectors like steel, fertilizers, and shipping.
โ๐๐น๐ผ๐ฏ๐ฎ๐น ๐๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ๐๐ต๐ถ๐ฝ & ๐ฆ๐ผ๐ฐ๐ถ๐ผ-๐๐ฐ๐ผ๐ป๐ผ๐บ๐ถ๐ฐ ๐๐บ๐ฝ๐ฎ๐ฐ๐:
Initiatives like the International Solar Alliance showcase developing nation leadership, while clean energy expands rural income, education, and women's empowerment.
India's renewable energy capacity has crossed 200 GW, with solar and wind power accounting for nearly 45% of total installed electricity capacity.
โ๐ฃ๐ผ๐น๐ถ๐ฐ๐ ๐๐ป๐ฎ๐ฏ๐น๐ฒ๐ฟ๐ & ๐๐ฎ๐๐ฒ๐น๐ผ๐ฎ๐ฑ ๐๐ฎ๐น๐ฎ๐ป๐ฐ๐ฒ:
Growth is driven by policy reforms, transparent auctions, and investor-friendly regulations, while thermal and nuclear power continue meeting growing baseload demands.
โ๐๐ฒ๐ฐ๐ฒ๐ป๐๐ฟ๐ฎ๐น๐ถ๐๐ฒ๐ฑ ๐ฆ๐ผ๐น๐ฎ๐ฟ ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป:
Programs like PM Surya Ghar: Muft Bijli Yojana and PM-KUSUM empower rural farmers and urban households to transition from consumers to energy producers.
โ๐๐ฟ๐ฒ๐ฒ๐ป ๐ ๐ฎ๐ป๐๐ณ๐ฎ๐ฐ๐๐๐ฟ๐ถ๐ป๐ด & ๐๐๐ฑ๐ฟ๐ผ๐ด๐ฒ๐ป:
PLI schemes accelerate domestic solar manufacturing, while the National Green Hydrogen Mission aims to decarbonize hard-to-abate sectors like steel, fertilizers, and shipping.
โ๐๐น๐ผ๐ฏ๐ฎ๐น ๐๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ๐๐ต๐ถ๐ฝ & ๐ฆ๐ผ๐ฐ๐ถ๐ผ-๐๐ฐ๐ผ๐ป๐ผ๐บ๐ถ๐ฐ ๐๐บ๐ฝ๐ฎ๐ฐ๐:
Initiatives like the International Solar Alliance showcase developing nation leadership, while clean energy expands rural income, education, and women's empowerment.
๐1
Sleepy Classes IAS
What is a primary function of machine learning models in modern disaster early warning systems?
AI is transforming disaster management.
From mapping damaged buildings to predicting floods technology is saving lives.
Here is how artificial intelligence is revolutionizing crisis response
โ๐๐ ๐ถ๐ป ๐๐ฟ๐ถ๐๐ถ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ
AI powered portals match crowdsourced missing persons data with official lists and map damaged structures in real time.
โ๐๐๐ฝ๐ฒ๐ฟ๐น๐ผ๐ฐ๐ฎ๐น ๐๐ฎ๐ฟ๐น๐ ๐ช๐ฎ๐ฟ๐ป๐ถ๐ป๐ด
Machine learning models process vast weather datasets to generate fast flood advisories and forecasts up to seven days in advance.
โ๐ฅ๐ฒ๐๐ฐ๐๐ฒ ๐๐ผ๐ฟ๐ฐ๐ฒ ๐ ๐๐น๐๐ถ๐ฝ๐น๐ถ๐ฒ๐ฟ๐
Thermal imaging drones and natural language tools efficiently parse unstructured data to locate survivors and assess post disaster road conditions.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Prioritize equitable trusted AI integration for vulnerable populations backed by strong institutional governance.
From mapping damaged buildings to predicting floods technology is saving lives.
Here is how artificial intelligence is revolutionizing crisis response
โ๐๐ ๐ถ๐ป ๐๐ฟ๐ถ๐๐ถ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ
AI powered portals match crowdsourced missing persons data with official lists and map damaged structures in real time.
โ๐๐๐ฝ๐ฒ๐ฟ๐น๐ผ๐ฐ๐ฎ๐น ๐๐ฎ๐ฟ๐น๐ ๐ช๐ฎ๐ฟ๐ป๐ถ๐ป๐ด
Machine learning models process vast weather datasets to generate fast flood advisories and forecasts up to seven days in advance.
โ๐ฅ๐ฒ๐๐ฐ๐๐ฒ ๐๐ผ๐ฟ๐ฐ๐ฒ ๐ ๐๐น๐๐ถ๐ฝ๐น๐ถ๐ฒ๐ฟ๐
Thermal imaging drones and natural language tools efficiently parse unstructured data to locate survivors and assess post disaster road conditions.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Prioritize equitable trusted AI integration for vulnerable populations backed by strong institutional governance.
๐2
Sleepy Classes IAS
What is a major macroeconomic consequence of excessive state spending on populist welfare schemes and freebies?
โ๐๐น๐ผ๐ฏ๐ฎ๐น ๐ฆ๐ฝ๐ฟ๐ฒ๐ฎ๐ฑ ๐ผ๐ณ ๐๐ฟ๐ฒ๐ฒ๐ฏ๐ถ๐ฒ ๐ฃ๐ผ๐น๐ถ๐๐ถ๐ฐ๐
Populist cash for votes culture has expanded worldwide moving from Indian state politics to prominent proposals in developed democracies like the US.
โ๐๐ถ๐๐ฐ๐ฎ๐น ๐ฆ๐๐ฟ๐ฒ๐๐ & ๐๐ฒ๐ฏ๐ ๐ง๐ฟ๐ฎ๐ฝ๐
Excessive spending on freebies crowds out productive capital expenditure inflating state and national debt to GDP ratios with combined Indian debt climbing from 65.6 percent to over 80 percent.
โ๐ฃ๐ผ๐น๐ถ๐๐ถ๐ฐ๐ฎ๐น ๐๐ผ๐ป๐๐ฒ๐ฟ๐ด๐ฒ๐ป๐ฐ๐ฒ
Across party lines political entities increasingly adopt populist welfare schemes rebranding cash transfers and subsidies to sway electoral calculus.
โ๐๐ฟ๐ผ๐๐ฑ๐ถ๐ป๐ด ๐ข๐๐ ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐๐ฒ ๐๐ป๐๐ฒ๐๐๐บ๐ฒ๐ป๐
High recurrent expenditure on unfunded or unviable freebies eats into fiscal space limiting state capacity to fund infrastructure and respond to future crises.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Shift political discourse back toward developmental governance capital asset creation and strict fiscal responsibility frameworks to prevent long term economic insolvency.
Populist cash for votes culture has expanded worldwide moving from Indian state politics to prominent proposals in developed democracies like the US.
โ๐๐ถ๐๐ฐ๐ฎ๐น ๐ฆ๐๐ฟ๐ฒ๐๐ & ๐๐ฒ๐ฏ๐ ๐ง๐ฟ๐ฎ๐ฝ๐
Excessive spending on freebies crowds out productive capital expenditure inflating state and national debt to GDP ratios with combined Indian debt climbing from 65.6 percent to over 80 percent.
โ๐ฃ๐ผ๐น๐ถ๐๐ถ๐ฐ๐ฎ๐น ๐๐ผ๐ป๐๐ฒ๐ฟ๐ด๐ฒ๐ป๐ฐ๐ฒ
Across party lines political entities increasingly adopt populist welfare schemes rebranding cash transfers and subsidies to sway electoral calculus.
โ๐๐ฟ๐ผ๐๐ฑ๐ถ๐ป๐ด ๐ข๐๐ ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐๐ฒ ๐๐ป๐๐ฒ๐๐๐บ๐ฒ๐ป๐
High recurrent expenditure on unfunded or unviable freebies eats into fiscal space limiting state capacity to fund infrastructure and respond to future crises.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Shift political discourse back toward developmental governance capital asset creation and strict fiscal responsibility frameworks to prevent long term economic insolvency.
โค3๐2
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๐2
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๐1
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๐1
Grid congestion and curtailment are threatening massive green investments.
Here is why our renewable transition is hitting a bottleneck:
โ๐ฅ๐ฒ๐ป๐ฒ๐๐ฎ๐ฏ๐น๐ฒ ๐๐๐ฟ๐๐ฎ๐ถ๐น๐บ๐ฒ๐ป๐ ๐๐ฟ๐ถ๐๐ถ๐
Persistent grid congestion forced India to curtail over 10 percent of its solar output between April and June 2026 eroding developer revenues.
โ๐๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐๐ผ๐๐๐น๐ฒ๐ป๐ฒ๐ฐ๐ธ๐
Approximately 21 GW of temporary grid connections face 30 to 50 percent curtailment during peak solar hours causing developer losses exceeding Rs 4500 crore.
โ๐๐ถ๐ป๐ฎ๐ป๐ฐ๐ถ๐ฎ๐น ๐ฉ๐๐น๐ป๐ฒ๐ฟ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐
Public sector banks have invested over Rs 5 lakh crore in renewables leaving lenders exposed as uncompensated power cuts jeopardize debt servicing.
โ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐ ๐ฅ๐ถ๐ด๐ถ๐ฑ๐ถ๐๐ถ๐ฒ๐
Inflexible long term power purchase agreements and a lack of large scale battery storage worsen transmission constraints and market inefficiencies.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Mandate transparent curtailment tracking clarify risk sharing rules before project financing and procure battery storage at major pooling stations.
Here is why our renewable transition is hitting a bottleneck:
โ๐ฅ๐ฒ๐ป๐ฒ๐๐ฎ๐ฏ๐น๐ฒ ๐๐๐ฟ๐๐ฎ๐ถ๐น๐บ๐ฒ๐ป๐ ๐๐ฟ๐ถ๐๐ถ๐
Persistent grid congestion forced India to curtail over 10 percent of its solar output between April and June 2026 eroding developer revenues.
โ๐๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐๐ผ๐๐๐น๐ฒ๐ป๐ฒ๐ฐ๐ธ๐
Approximately 21 GW of temporary grid connections face 30 to 50 percent curtailment during peak solar hours causing developer losses exceeding Rs 4500 crore.
โ๐๐ถ๐ป๐ฎ๐ป๐ฐ๐ถ๐ฎ๐น ๐ฉ๐๐น๐ป๐ฒ๐ฟ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐
Public sector banks have invested over Rs 5 lakh crore in renewables leaving lenders exposed as uncompensated power cuts jeopardize debt servicing.
โ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐ ๐ฅ๐ถ๐ด๐ถ๐ฑ๐ถ๐๐ถ๐ฒ๐
Inflexible long term power purchase agreements and a lack of large scale battery storage worsen transmission constraints and market inefficiencies.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Mandate transparent curtailment tracking clarify risk sharing rules before project financing and procure battery storage at major pooling stations.
โค2๐2
India is growing at over 7 percent.
But where are the jobs??..
The employment growth paradox threatens to waste our demographic dividend.
Here is why high GDP is not creating enough work:
โ๐๐บ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ ๐๐ฟ๐ผ๐๐๐ต ๐ฃ๐ฎ๐ฟ๐ฎ๐ฑ๐ผ๐
High GDP growth lags in job creation threatening the demographic dividend.
โ๐ฆ๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฎ๐น ๐๐ผ๐๐๐น๐ฒ๐ป๐ฒ๐ฐ๐ธ๐
Low labor force participation and high informality with over 56 percent in self employment drive youth unemployment.
โ๐๐ด๐ฟ๐ถ๐ฐ๐๐น๐๐๐ฟ๐ฎ๐น ๐๐ถ๐๐ด๐๐ถ๐๐ฒ๐ฑ ๐จ๐ป๐ฒ๐บ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ Agriculture absorbs 43 percent of the workforce for just 20 percent of GVA necessitating labor migration
โ๐ฆ๐ฒ๐ฐ๐๐ผ๐ฟ๐ฎ๐น ๐ฆ๐๐ฎ๐ด๐ป๐ฎ๐๐ถ๐ผ๐ป
Manufacturing holds at a 10 to 12 percent employment share while IT and banking hiring slows due to AI automation.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Boost labor intensive manufacturing exports scale human capital and expand social security for informal and gig workers.
But where are the jobs??..
The employment growth paradox threatens to waste our demographic dividend.
Here is why high GDP is not creating enough work:
โ๐๐บ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ ๐๐ฟ๐ผ๐๐๐ต ๐ฃ๐ฎ๐ฟ๐ฎ๐ฑ๐ผ๐
High GDP growth lags in job creation threatening the demographic dividend.
โ๐ฆ๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฎ๐น ๐๐ผ๐๐๐น๐ฒ๐ป๐ฒ๐ฐ๐ธ๐
Low labor force participation and high informality with over 56 percent in self employment drive youth unemployment.
โ๐๐ด๐ฟ๐ถ๐ฐ๐๐น๐๐๐ฟ๐ฎ๐น ๐๐ถ๐๐ด๐๐ถ๐๐ฒ๐ฑ ๐จ๐ป๐ฒ๐บ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ Agriculture absorbs 43 percent of the workforce for just 20 percent of GVA necessitating labor migration
โ๐ฆ๐ฒ๐ฐ๐๐ผ๐ฟ๐ฎ๐น ๐ฆ๐๐ฎ๐ด๐ป๐ฎ๐๐ถ๐ผ๐ป
Manufacturing holds at a 10 to 12 percent employment share while IT and banking hiring slows due to AI automation.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Boost labor intensive manufacturing exports scale human capital and expand social security for informal and gig workers.
โค10๐2
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๐2
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๐2โค1
The Supreme Court recently took suo motu cognizance of systemic safety failures.
Despite strict laws justice remains severely delayed.
Here is why we need urgent reforms for women safety:
โ๐๐๐ฑ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐ฟ๐๐ฒ๐ป๐๐ถ๐ผ๐ป
The Supreme Court took suo motu cognizance of rising sexual offenses in Delhi holding police and administration accountable for systemic safety failures.
โ๐๐ฎ๐๐ ๐ง๐ฟ๐ฎ๐ฐ๐ธ ๐๐ผ๐๐ฟ๐ ๐๐ฒ๐น๐ฎ๐๐
Fast track special courts established via the Nirbhaya Fund suffer from severe backlogs taking over four years to conclude rape and POCSO trials.
โ๐๐บ๐ฝ๐น๐ฒ๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป ๐๐ฎ๐ฝ๐
Despite statutory reforms following the Justice J S Verma Committee bureaucratic bottlenecks and poor ground level execution continue to undermine safety.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Enforce strict administrative accountability expedite judicial trials through fully functional fast track courts and bridge gaps between policy and grassroots execution
Despite strict laws justice remains severely delayed.
Here is why we need urgent reforms for women safety:
โ๐๐๐ฑ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐ฟ๐๐ฒ๐ป๐๐ถ๐ผ๐ป
The Supreme Court took suo motu cognizance of rising sexual offenses in Delhi holding police and administration accountable for systemic safety failures.
โ๐๐ฎ๐๐ ๐ง๐ฟ๐ฎ๐ฐ๐ธ ๐๐ผ๐๐ฟ๐ ๐๐ฒ๐น๐ฎ๐๐
Fast track special courts established via the Nirbhaya Fund suffer from severe backlogs taking over four years to conclude rape and POCSO trials.
โ๐๐บ๐ฝ๐น๐ฒ๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป ๐๐ฎ๐ฝ๐
Despite statutory reforms following the Justice J S Verma Committee bureaucratic bottlenecks and poor ground level execution continue to undermine safety.
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Enforce strict administrative accountability expedite judicial trials through fully functional fast track courts and bridge gaps between policy and grassroots execution
๐5
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โค1๐1
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โค1๐1
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๐2โค1
What is the primary objective of the SVAMITVA scheme utilizing drone technology in rural India?
Anonymous Quiz
17%
Delivering commercial retail packages
66%
Generating property cards for land governance
17%
Subsidizing foreign agricultural imports
๐2
Sleepy Classes IAS
What is the primary objective of the SVAMITVA scheme utilizing drone technology in rural India?
โ๐๐
๐ฝ๐น๐ผ๐๐ถ๐๐ฒ ๐จ๐๐ฉ ๐๐ฟ๐ผ๐๐๐ต
India has over 38500 registered drones and 38980 certified remote pilots as of February 2026
โ๐๐ถ๐ฏ๐ฒ๐ฟ๐ฎ๐น๐ถ๐๐ฒ๐ฑ ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐๐ถ๐ผ๐ป๐
Reforms reduced compliance burdens and opened nearly 90 percent of Indian airspace as green zones up to 400 feet
โ๐ ๐ฎ๐ป๐๐ณ๐ฎ๐ฐ๐๐๐ฟ๐ถ๐ป๐ด ๐๐ผ๐ผ๐๐
Drone PLI schemes attracted Rs 595 crore in investments created 2650 jobs and lowered GST to 5 percent
โ๐ฅ๐๐ฟ๐ฎ๐น ๐ฎ๐ป๐ฑ ๐๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒ ๐๐บ๐ฝ๐ฎ๐ฐ๐
Namo Drone Didi empowers women led entrepreneurship for precision agriculture while SVAMITVA generated over 3 crore property cards for land governance
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Expand local pilot training safety awareness and indigenous manufacturing capabilities
India has over 38500 registered drones and 38980 certified remote pilots as of February 2026
โ๐๐ถ๐ฏ๐ฒ๐ฟ๐ฎ๐น๐ถ๐๐ฒ๐ฑ ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐๐ถ๐ผ๐ป๐
Reforms reduced compliance burdens and opened nearly 90 percent of Indian airspace as green zones up to 400 feet
โ๐ ๐ฎ๐ป๐๐ณ๐ฎ๐ฐ๐๐๐ฟ๐ถ๐ป๐ด ๐๐ผ๐ผ๐๐
Drone PLI schemes attracted Rs 595 crore in investments created 2650 jobs and lowered GST to 5 percent
โ๐ฅ๐๐ฟ๐ฎ๐น ๐ฎ๐ป๐ฑ ๐๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒ ๐๐บ๐ฝ๐ฎ๐ฐ๐
Namo Drone Didi empowers women led entrepreneurship for precision agriculture while SVAMITVA generated over 3 crore property cards for land governance
โ๐ช๐ฎ๐ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ
Expand local pilot training safety awareness and indigenous manufacturing capabilities
โค3๐2