Through Fasal Salah App,
approximately 150,000 Lakh farmers are linked to us on a one to one basis. These
farmers are cultivating different crops. The sowing date, variety and
agriculture management practices follows by them are received at by us for
analytical purposes. Based on these inputs from farmers, yield determining factors
like temperature, humidity, sunshine are crunched into a dynamic crop model
specially developed for this purpose. We selected soybean as crop and Dewas of
Madhya Pradesh as the area of study. Dewas is situated between North latitude 22o
17’00” & 23o 20’00” and east longitude 22.962267, 76.050797 and covers 7,020 km sq. area .
Study Area
This study covered about 1200 farmers cultivated soybean who were connected on Fasal Salah App. Through this app farmers received weather basis advisory based on crop physiology of soybean being cultivated in real time. Farmers in farm were providing feedback of management practices being followed by them for application of farm input such as fertilizer, application of pesticides etc.
Besides, farmers also
forward their crop pictures on weekly basis which helps us to monitor their
crop more precisely. We ran artificial intelligence on the pictures received
which fine tunes the crop yield determination by the dynamic model. It is note worthy that the farmers field are
geo-located as also all
the pictures received from them are geo located. This help us in correlating
the ground recorded vegetation index with high resolution satellite data (In
this case Sentinel-2A and Its NDVI are used). In this process we are able to expand
the area of interest beyond the limits of farmers on Fasal Salah App.
Normalized Difference
Vegetation Index (NDVI) of Dewas district were obtained. Collected GPS
coordinates of soybean field were overlaid over calculated NDVI and NDVI values
of each field were recorded as training sets. The refined training set data
statistics were used for performing maximum likelihood supervised
classification based on recorded vegetation data.
With this methodology we
have estimated area under soybean in Dewas district for year 2019, to be 3.8
Lakh hectare. The average yield determined by the hybrid of crop model and crop
pictures for Dewas district based on input from farmers using our Fasal Salah
App came to 813 kg per hectare thus total yield of soybean in Dewas
district expected to be 3,078,000 Quintal in Kharif 2019.
While actual field estimates are yet to come this figure will stand the test of time when official results are posted.
I would like to remind that this year Dewas experienced some excessive rains. Our calculations take into account such damages because of excessive rains. However what is not accounted for is the damage because of floods.
The innovation which made our team win The Agriculture Grand Challenge 2019 and was awarded best App for Agriculture by Indian Mobile Congress 2019 ( all Mobile operators of India form this congress) is ready to be used by the Industry for actionable market intelligence for commodity trading.
Find out more at: www.bkcaggregators.com
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