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β–Έ GROUNDWATER & WATER MANAGEMENT

πŸ’§ Save the water table. Keep the borewell.

Telangana lost 18 m of groundwater in 25 years. Nizamabad, Karimnagar, and parts of Warangal are over-exploited. AgriSense AI predicts borewell sustainability, suggests AWD & SRI for paddy, schedules pump runtime, and recommends rainwater harvesting structures β€” by farm, by village, by district.

πŸ“Š Your farm aquifer health Β· Madikonda, Warangal

42 m
Water table depth
Dropped 8 m in 90 days
68%
Borewell sustainability
Yields 1,800 L/h Β· sustainable @ β‰₯80%
22%
Soil moisture
Optimal range 18-28%
3.8 mm
Evaporation today
High β€” irrigate at 4-6 AM only

🌾 Rice farming water optimisation

Standing-water paddy uses 5,000 L per kg of rice. AWD and SRI cut this by 22-40% with no yield loss.

πŸ’§

Alternate Wetting & Drying (AWD)

Keep field flooded for first 2 weeks. After that, let water drop 15 cm before re-flooding. AI tells you exact re-flood day via PVC tube sensor reading.

-22% water Β· no yield loss
🌱

System of Rice Intensification (SRI)

Single seedling spaced 25 cm. No standing water β€” just moist soil. Yields 18% higher than flood-paddy.

-40% water Β· +18% yield
πŸ’¦

Drip irrigation for paddy

Sub-surface drip lines. 70% less water. PMKSY 55% subsidy. Pre-filed by AgriSense AI.

-70% water Β· β‚Ή68k subsidy
πŸ“

Laser land levelling

Β±2 cm flat field = even water distribution. One-time service. 18-25% water saving on flood-paddy.

-22% water Β· β‚Ή850/ac one-time

πŸ—ΊοΈ District-wise groundwater status Β· live from CGWB

DistrictBlock category (CGWA)Avg depthTrend (5 yr)StatusAction
NizamabadOver-exploited58 mβ–Ό 14 mCriticalSRI mandatory Β· borewell ban
SangareddyOver-exploited62 mβ–Ό 16 mCriticalAWD + recharge pit
KarimnagarSemi-critical48 mβ–Ό 9 mStressedAWD + farm pond
Warangal UrbanSemi-critical42 mβ–Ό 8 mStressedAWD recommended
Bhadradri KothagudemSafe22 mβ–Ό 3 mSafeMaintain current practice
KhammamSafe28 mβ–Ό 4 mSafeRecharge pit recommended
MuluguSafe18 mβ–Ό 2 mSafeContinue monitoring

πŸ€– The model behind it

Random Forest + Bayesian uncertainty trained on Central Ground Water Board (CGWB) aquifer maps, Geological Survey of India (GSI) lithology, Sentinel-2 NDWI, 5-year rainfall, electricity consumption per pump, and reported borewell yields. Output: depth probability, sustainability score, draft-recharge ratio, and 12-month forecast per farm. Calibrated against 8,422 borewell observations across Telangana.