“We have neglected the truth that a good farmer is a
craftsman of the highest order, a kind of artist.”
The unstable climate changes are increasing progressively leading to an array of acute problems inclusive of famine, flood and biodiversity loss, soil erosion, and more. The result is a decrease in the potential yields. Modern agriculture poses numerous unpredictable and complex challenges. Therefore, the time has come for farmers to rely on advanced AI technology to meet the ever-evolving requirements of not just the climate but also end consumers, vendors and all entities belonging to the supply chain.
Developed by an agri-tech firm based in Bengaluru, Agcloud seems to be one reliable solution in the same context. It is competent in generating data for over a decade to guide stakeholders in the domain of agriculture to get better crop quality and crop yield. “AGCLOUD”, the first global agriculture intelligence cloud is expected to be launched by next month.
Co-Founder & CEO of Cropin, Krishna Kumar stated, “At Cropin, we are constantly focused on building technology that can enable and transform the agriculture sector. Right from our founding in 2010, when no category called agritech existed, to today, we see the industry evolving from the digitization of farming to intelligent and data-driven agriculture. Over the past few years, our Earth Observation & AI science research teams have built global intelligence models for agriculture that are already unmatched in terms of accuracy and scalability in the real world. Cropin’s AI Labs will help us accelerate this effort to compute and bring the benefits of predictive intelligence to every acre of the world’s farmlands.”
AGCLOUD: Main Aspects
The agritech pioneer, Cropin, has set up a new Artificial Intelligence Lab with a team of 30 members initially comprising Data Scientists, Earth Observation Scientists, AI/ML Researchers, and Agronomists.
The focus will remain on studying cultivable lands and “computing” the same worldwide by leveraging the AI models and knowledge, geo-fenced field data and related convergence of earth-observation data, not just built but also tested over the years.
The intricate process of ‘Agri asset computation’ brings together various aspects. They include soil information, land records, hyper forecasted and local historical weather data, global crop sowing, seed genetics, management practices, agro-climatic conditions, farmer KYC, harvesting patterns, and other farming insights including agronomical knowledge all under one umbrella.
The company’s proprietary knowledge graphs are formed on trillions of farm pixel datasets. These datasets continuously grow and go on to multiply in space and time, allowing the company to implement and build the various AI models in the shortest possible time in any country.
First of its kind initiative in the worldwide agriculture ecosystem, “AGCLOUD” will help speed up digital adoption in the agriculture domain and transform it into an efficient, sustainable, and data-driven industry. With the launch of “AGCLOUD” Cropin is striving to solve a few of the most complex challenges while exploring relevant opportunities in this industry with “AGCLOUD”.
