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Predict yield before harvest? Yes we can! Technology is here: Case study of Soybean in Dewas 2019.

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 fol...

BKC Aggregators wins HDFC Digital Innovation Award

Good, better, best and never take rest until your good becomes better and better become best; it is the principle which is followed by Dr BK Singh, who is working tirelessly for the welfare of farming community across the country. After winning the Agriculture Grand Challenge (Govt. of India) 2018, BKC Aggregators has won HDFC's Digital Innovation Summit which was organized at IIM Ahmedabad, Gujarat on 31st January 2019.   FASAL SALAH provides timely and personalised agri- advisory for the welfare of farmers, a perfect solution for several problems being faced by farmers. Using dynamic crop models and artificial intelligence analytics, BKC has been able to generate an algorithm for calculation of yields well before the harvest. Thus it is possible now to have an accurate estimate of the crop before it is harvested by the farmers. Forecasting the yield before harvest is going to become strong tool for several problems associated to the losses and difficulties being...

Technology - Advising Farmers and Crop Yield Assesment

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 ...

BKC Aggregators: How it all started

Aggregators: BKC Aggregators vision is to transform the socio-economic fabric of India by creating farmer-entrepreneurs. Our mission is to provide timely and actionable information to each farmer to increase production and incomes, and mitigate risks with real-time yield forecasts. It all began in 1971 when our Founder, Dr. B. K. Singh, a fresh Ph.D in Agriculture from the Indian Agriculture Research Institute entered the workforce of post-independence and recently Green Revolutionized India.  Starting out with agriculture commodity trading at the State Trading Corporation of India, he continued to grapple with the challenges of bringing extension to farmers and how much weather affected livelihoods and, lives of farmers in India.   His first company, BKC WeatherSys, established in 1989, was the first entity to bring 7 day weather forecasts to India, the first to provide weather forecasts to farmers through text messages, and the first to build an automated forecasting so...