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