Vans femme new arrivals amazon

Name: Vans femme new arrivals amazon
Brand: Vans femme new arrivals amazon
SKU: 7362414
Price: 48.00 USD
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Rating: 4.98 (1191 reviews)

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$48.00

SKU: 7362414

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Weather Updates

Model Town, PK

7:07 pm, Apr 25, 2025

39°C

few clouds

Humidity: 18 %

Pressure: 1002 mb

Wind: 7 mph

Wind Gust: 0 mph

Clouds: 20%

Visibility: 6 km

Sunrise: 5:23 am

Sunset: 6:37 pm

Latest Mandi Prices

Punjab (Rs/ 40 Kg ; Min-Max)

25th April 2025

City / Mandi	Maize	Cotton	Wheat	Sugar Cane
Attock	1920-2680	7550-9270	2710-2950	-
Ahmedpur East	1960-2680	7540-9490	2750-2950	-
Arifwala	1940-2640	7815-9355	2785-2955	-
Bahawalpur	1980-2630	7440-9160	2885-3000	-
Bhawalnagar	1930-2690	7455-9350	2790-2950	-
Bhakkar	1940-2650	7550-9460	2790-2950	-
Burewala	1910-2680	7480-9410	2710-2940	-
Bhawal	1980-2610	7530-9310	2760-2990	-
Chiniot	1930-2610	7480-9240	2700-2950
Chakwal	1910-2640	7430-9370	2780-2900
Chishtian	1920-2690	7590-9390	2760-2980
Dera Ghazi Khan	1940-2610	7540-9350	2860-2960
Daska	1940-2620	7450-9000	2770-2980
Faisalabad	1950-2690	7310-9250	2860-3000
Gujranwala	1970-2630	7500-9280	2860-2950
Gujrat	-	7590-9240	2860-2950
Gojra	1980-2660	7620-9270	2760-2970
Hafizabad	1940-2660	7410-9160	2830-2930
Hasilpur	1920-2610	7770-9470	2720-2950
Haroonabad	1980-2680	7840-9490	2710-2980
Jhang	1980-2620	7370-9230	2770-2980
Jhelum		7730-9470	2790-2960
Jaranwala	1960-2600	7570-9420	2740-2980
Kasur	1940-2600	7690-9180	2750-2900
Khanewal	1950-2660	7340-9130	2740-2970
Kamalia	1920-2630	7430-9250	-
Kot Addu	-	7560-9420	2740-2980
Kabirwala	-	7370-9300	-
Khanpur	1940-2640	7590-9450	2740-2950
Khushab	1930-2620	7620-9270	2750-2930
Kamoke	1980-2690	7590-9320	2770-2950
Lodhran	1910-2640	7750-9290	2720-2950
Layyah	1900-2690	7380-9380	2780-3000
Lahore	1930-2650	7340-9300	2850-3100
Multan	1950-2610	7340-9230	2700-3000
Muzaffargarh	1900-2620	7620-9520	2700-2940
Mianwali	1940-2630	7660-9280	2790-2920
Mandi Bahauddin	1990-2690	7310-9500	2770-2920
Muridke	1970-2620	7710-9360	2760-2990
Nankana Sahib	1960-2690	7460-9290	2800-2900
Narowal	1930-2640	7650-9150	2750-2980
Okara	1980-2950	7470-9120	2700-2950
Pakpatan	1970-2690	7840-9460	2700-2950
Rawalpindi	1940-2620	7670-9400	2900-3150
Rajanpur	-	7480-9280	-
Rahim Yar Khan	1910-2660	7480-9425	2780-2980
Sialkot	1900-2640	7420-9270	2800-2990
Sahiwal	1920-2680	7480-9320	2700-2950
Sargodha	1990-2690	7470-9270	2720-2990
Sheikhupura	1960-2600	7710-9170	2180-2900
Sadiqabad	1950-2670	7720-9100	2755-2970
Samundari	1930-2660	7460-9480	2770-2980
Shorkot	-	7720-9110	-
Sambrial	-	7440-9270	-
Shujaabad	-	7710-9170	-
Tandlianwala	-	7440-9310	-
Vehari	1910-2640		2790-2950

Rice Rate in Pakistan (40kg)

25th April 2025

Varieties	White Rice	Sella Rice	Steam Rice
Kainat 1121	5100	6100	6700
New Super Basmati	4600	4500	5700
Kainat 1121 B1 Broken	2560	2700	3300
Kainat 1121 Short Grain	3100	3400	3700
Basmati 386	2950	3400	3800
Super Basmati Old	4650	5200	5600
Irri 6	2450	2500	2950
C 9	2700	2900	3200
Super Fine	3200	3500	4200
Supri	2700	2900	3100
Super 1509	4280	4600	5200
Super B2 Broken	2450	2500	2700
Super Short Grain	3200	3350	3500

Munji Price in Pakistan

25th April 2025

Varieties	Minimum Price	Maximum Price
IRRI-6	Rs. 1750	Rs. 2250
Hybrid	Rs. 1750	Rs. 2350
IRRI Fine	Rs. 2150	Rs. 2600
Super-1509	Rs. 3100	Rs. 3600
Super Fine-1692	Rs. 3150	Rs. 3600
Super 1509 (پرانی)	Rs. 4100	Rs. 4600
Super Kainat Munji (پرانی)	Rs. 4200	Rs. 4850

Super 1509/1692 Munji Rate

25th April 2025

Cities	Minimum Price	Maximum Price
Arifwala	Rs. 3000	Rs. 3540
Bahawalpur	Rs. 3060	Rs. 3550
Faisalabad	Rs. 3050	Rs. 3610
Gujranwala	Rs. 3160	Rs. 3620
Hafizabad	Rs. 3120	Rs. 3660
Islamabad	Rs. 3150	Rs. 3650
Karachi	Rs. 3050	Rs. 3550
Lahore	Rs. 3100	Rs. 3600
Multan	Rs. 3080	Rs. 3570
Sialkot	Rs. 3200	Rs. 3550

IRRI-Fine Munji Price

25th April 2025

Cities	Minimum Price	Maximum Price
Arifwala	Rs. 1800	Rs. 2340
Bahawalpur	Rs. 1760	Rs. 2350
Faisalabad	Rs. 1750	Rs. 2310
Gujranwala	Rs. 1760	Rs. 2320
Hafizabad	Rs. 1820	Rs. 2360
Islamabad	Rs. 1750	Rs. 2350
Karachi	Rs. 1750	Rs. 2350
Lahore	Rs. 1700	Rs. 2300
Multan	Rs. 1780	Rs. 2370
Sialkot	Rs. 1800	Rs. 2350

City / Mandi	Maize - Min - Max - 40kg	Cotton - Min - Max - 40kg	Rice - Min - Max - 40kg	Sugar Cane - Min - Max - 40kg
Khanpur	1200	5000	-	-
Lahore	4500	5000	24000	-
Rahim Yar Khan	1200	5000	24000	-
Sadiqabad	-	5000	24000	-
Ahmad Pur East	1200	-	24000	-
Bahawalpur	-	5000	-	-
Hasalpur	1200	-	-	-
Yazman	-	5000	-	-

Sindh

25th April 2025

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Crop Yield Forecasting

Accurate prediction of crop yields using historical data and machine learning models. Informed decision-making for market planning and resource allocation

Crop and Soil Health Monitoring

Use sensors and satellite imagery to monitor crop and soil health in real-time. AI algorithms analyze data to detect issues early.

Early Pest Onset Prediction

Proactive measures to prevent pest outbreaks and minimize crop damage. Timely and targeted interventions.

Reduced Input Wastage

Precise application of fertilizers and pesticides based on real-time data. Minimized environmental impact and cost savings.

Irrigation Efficiency

Optimization of irrigation schedules based on real-time weather and soil moisture data. Reduced water consumption and improved water resource management.

Climate-Smart Practice

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Our projects

Projects we are working on

Canal irrigation and water availability (Punjab Irrigation Department)

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SIMILAR ITEMS

Latest Mandi Prices

Punjab (Rs/ 40 Kg ; Min-Max)

Rice Rate in Pakistan (40kg)

Munji Price in Pakistan

Super 1509/1692 Munji Rate

IRRI-Fine Munji Price

Sindh

Weather Updates

Farmovation Solutions

Weather & Irrigation

Farm Management

Farm Planner

Agronomist Advisory

Farm Bazar

Farm Finance

Impacts of Climate Change on Farmers

AI & ML USE CASES FOR AGRICULTURE

Pest and Disease Identification

Improved Farming Practices

Crop Yield Forecasting

Crop and Soil Health Monitoring

Early Pest Onset Prediction

Reduced Input Wastage

Irrigation Efficiency

Climate-Smart Practice

Our projects

Projects we are working on

Canal irrigation and water availability (Punjab Irrigation Department)

Crop health monitoring

Farmer’s AI Agronomist

Farmer’s AI Agronomist

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