In Kharif season 2019-20, FASAL SALAH team carry out a study of crops grown in Amritsar district of Punjab. Paddy is the major crop of Amritsar district. Idea was to look at the crop on ground as well as from satellite to see if size the crop and yields could be determined.
SALAH App, Our Crop monitoring
technology is unique using bottoms up approach with crop monitoring at field
level and correlating ground realities with real-time crop vegetation index
monitored via spectral analysis of high-resolution satellite images for
different fields and crops. This enables to track positive and negative
dynamics of crop development much more realistically.
This way it is more realistic
way of crop yield estimation before actual harvest. Our technology has been
field tested and awarded by Govt. of
India (Winner of Great Agriculture Challenge 2019).
Image Processing and Vegetation Index-
The Terra Moderate Resolution
Imaging Spectroradiometer (MODIS) Vegetation Indices MOD13Q1 Version 6 (16-day
composite) NDVI image product with spatial resolution of 250m, was used in this
work. The satellite image has been pre-processed to rectify the geometrical
The Soil Moisture Active Passive
(SMAP) with 9 km resolution data used in this assessment, The SMAP spacecraft
carries two instruments, a radar (active) and a radiometer (passive), that
together make global measurements of land surface soil moisture and freeze/thaw
state. It is useful for monitoring and predicting natural hazards such as
floods and droughts, understanding the linkages between Earth’s water, energy
and carbon cycles, and reducing uncertainties in predicting weather and
During the rabi season The
recently launched Sentinel-1 SAR satellite offers a powerful tool for
agricultural area classification and monitoring under various weather
conditions. The Sentinel-1 satellites provide an exceptional combination of
high spatial and high temporal resolutions for dual polarization synthetic aperture
radar data (6 days of temporal resolution and a 10 m _ 10 m pixel spacing). The
availability of a dense time series enables the derivation and analysis of temporally
backscattered signals. Since rice cultivation in Camargue takes place between
June and October of each year, we focus our analysis of SAR data only on this
period. For this reason, three S1 images obtained from the Sentinel-1A (S1A)
and Sentinel-1B (S1B) satellite constellation operating at the C-band (frequency
= 5.406 GHz, wavelength ~ 6 cm) were downloaded for the period between 26 June,
01 August and 25 August 2020 and then make the composite of all images for
estimation of paddy crop during the kharif season 2019-20.
Our main task is to conveniently combine
all of the information about your fields in one place, to identify and draw the
attention of farmers to problem areas. To achieve this, we collect data from
different sources - satellite images, weather data, soil types, vegetation
maps, among others - and supplement it with our own developments. After having
analyzed the data obtained, the system notifies the user of possible risks and
changes provides the ability to cluster fields and treat them accordingly, as
well as predict yields. In the long run, the system allows for optimal resource
utilization and effective decision-making.
district lies at the 31° 37’ 50. 20”
N and 74° 52’ 17. 59’ E covering
an area of 139 km2, according to the 2011
census Indore district has a population of 1.2 million.
falls under Trans Gangetic Plain
Region (VI) with an
annual rainfall of 712.7 mm with the South West Monsoon, North East
Monsoon, Winter and Summer supply.
- The net
sown area is 218 thousand hectares and gross cropped area is 422 thousand
hectares with cropping intensity of 194%.
The district has a wide variety of crops grown where major Rabi
crops in the region is Paddy.
- BKC’s FASAL SALAH App is in service of Indore farmers. A unique and AI based advanced technology where the farmers sends the geo-tagged crop pictures of wheat for better advice. Farmers get advisories based on variety sown, date of sowing and weather forecast of their village. This App uses artificial intelligence for image processing of farmers sent pictures and crop modelling analytics, which BKC has established for calculation of area, yield and health of the crop well before the harvest.
condition in the month of June and July is optimal, whereas from the first
week of September its continuously down.
- Ups and down
rainfall perceived from the month of June to July but from the second
fortnight of July, there is no rainfall witnessed during the kharif season
DIFFERENCE VEGETATION INDEX (NDVI):
- NDVI values of the current year are showing better that of the previous year in all over the district during the Kharif season 2019-20.
- NDVI values are
relatively higher in the current year when compared to the previous year except
for Baba Bakala tehsil.
- NDVI depicts
comparatively better crop condition with respect to the previous year, all
through the district.
- NDVI value
depicts lagging behind in current year compared with previous year during
the kharif season 2019-20.
- All over the
district displays lower moisture content with respect to the previous year
during the month of June 2020.
moisture demonstrates low moisture content in all over the district when
compared to the previous year in the month of July 2020.
- Deficit soil moisture content is depicted in the month of August in all over the district, in comparison to the year 2019.
portrays moderate moisture content in the month of September in comparison to
the previous year in Amritsar district.
• Soil moisture in the October month displays a
picture of healthy moisture content throughout the district as compared to that
of the previous year.
Acreage estimates Amritsar (Punjab):
- Paddy is the
major crop of Amritsar district during the Kharif season 2019-20 with crop
area of 185321 hectares. Area of Paddy crop in current year showing
slightly higher from 180000 ha of 2018-19 by 3% and from normal area high
by 2%. On the basis of NDVI crop health condition of Amritsar district
depicts normal condition with respect to the year 2018-19 in rabi season
2020-21 and same scenario can be seen in acreage estimation.
- Average crop
yield in Amritsar district for paddy is approx. 84 quintals per hectare.
The crop is calculated when the farmers gives their inputs during the crop
registrations in FASAL SALAH App i.e. date of sowing, soil, variety and
our crop modeler met-GIS runs in the backend and monitor the crop at every
stages throughout the crop cycle and predicts the crop yield before
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