Food
security in the light of climate change is a global imperative. In
developing nations, the problem is exacerbated by variable weather,
lack of reliable extension services to optimize yield and fair market
access.
In
India, most farmers do not have access to weather advisory forecasts
that are hyper local to their field and timely in nature. As all
farming activities are heavily dependent on weather, decisions on
application of fertilizers and pesticide, irrigation, and even
plucking of fruits & vegetables and harvesting cannot be taken
efficiently. In addition, significant crop losses, that are entirely
preventable, accrue through adverse weather events.
Crop advisory services, where available, are generic and not pegged
to a farmer's seed variety, date of sowing, and growing conditions
and hence do not dispense timely, actionable advice, directly
relevant to a farmer.
Likewise, market trends pertinent to their particular crop and
location are not available. BKC Aggregator is entrenched in bridging
these gaps for individual farmers using data science and software and
has developed a scalable solution that can address each farmer in
India, individually, to optimize their yields and reduce losses.
Our
solution is two pronged: help farmers optimize yields and income;
predict yield in advance of harvest for better positioning in
markets. Through our app FASAL SALAH, farmers are guided throughout
the crop cycle-hyper local weather forecasts, how to prepare the
field, seed availability, where to buy inputs, hire implements,
application of fertilizers and pesticides, when to harvest, what to
do after harvest, where to sell products and latest techniques of
preservation. Farmers also send their crop pictures in prescribed
manner and intervals for remote yield estimation and improving
advisories.
We
are with farmers all the time as FASAL SALAH works as their personal
adviser.
FASAL
SALAH serves ~120, 000 farmers across India. A farmer's location,
seed variety, and sowing date are ascertained. Then using dynamic
weather-based crop modeling, IoT, and automated image processing
techniques, their crop is monitored remotely. Dynamic advisories
that change with changing weather patterns are available round the
clock. Crop pictures are analyzed for remedial measures and arrival
of yields before actual harvest .
FASAL
SALAH also provides market trends, prices, news, and has evolved into
a trusted platform for meaningful interactions in the communities it
serves.
We
also predict crop yields and production quality. Thus, along with
farmers, food processors benefit by taking a position in advance and
making gains on the commodity market. Our technology is scalable to
multiple geographies.
Problem
it is solving
We
are solving 2 problems:
1.
Timely crop advisories to Individual farmers therough our app Fasal
Salah
2.
Crop yield estimation prior to harvest using dynamic crop model n
crop pictures with IA
In IoT Based Smart Agriculture, a system is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, etc.) and automating the irrigation system.
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