Human existence depends on the availability of food. A growing global population, per capita consumption, and high levels of wastage present us with a challenge that has no easy answer.
Notion hosts regular ‘Enterprise Innovation Briefings’ where we invite 30 C-level people from large enterprises, giving them an insight into the world of emerging technology and venture capital. Our next briefing will address Computer Vision, including experts on Artificial Intelligence (AI) and Machine Learning.
We are delighted to have Dr Sachin Shende present at the next Enterprise Innovation Briefing. These are exciting times for KisanHub, having recently completed a further £1.75 million of funding in its latest round. This will be used to accelerate the development of its Crop Intelligence Platform.
Sachin has kindly agreed to share with us, ahead of the event, his view on crop intelligence through computer vision and describe Kisanhub’s plans for computer vision in its products.
Sachin holds a Ph.D. in Computational Hydraulics from Loughborough University, and prior to founding KisanHub in 2012, managed the development of bond trading and research analytics platform for Barclays Global Investors and BlackRock.
“Human existence depends on the availability of food. A growing global population, per capita consumption, and high levels of wastage present us with a challenge that has no easy answer. Intensifying competition for land, increasing resistance to the technological advances from the past 30 years, and mounting pressure to reduce the environmental impacts of farming operations further compound our predicament. Feeding the world in 30 years will require learning to grow more efficiently and more sustainably at the same time: optimising every input at hyperlocal scales, whilst making better decisions in the aggregate.
KisanHub’s Crop Intelligence Platform helps growers make informed decisions based on data from a multitude of sources: weather stations, field-sensors, satellites, drones, farm machinery and directly from our users. Careful modelling of this data can help the user to consistently take the right action at the right time – saving time and reducing inputs.
KisanHub is increasingly relying on Computer Vision to understand the current state of the crop and to predict or optimise future outcomes. The development of hyperlocal predictive tools for pests, diseases, irrigation and yield requires a sophisticated marriage of diverse data sources, enormous datasets and deep agronomic know-how.
KisanHub’s vision is to build an AI assistant which will use computer vision and other machine learning approaches to monitor crops and provide precise agronomic recommendations in a timely manner. We believe this approach will be an essential component in meeting the food-security challenge.”
Our next event is being held on February 7th morning/lunch discussing Computer Vision.
We are delighted to host as a speaker Prof. Philip Torr from Oxford University, who is an award-winning world expert in computer vision systems. Prof. Torr is also an advisor to 5AI, one of our portfolio companies and will be presenting along with Stan Boland, British tech guru and 5AI’s CEO.
- Date: Wednesday, 7th of Feb 2018
- Time: 11am-4pm
- Location: Central London
To register your interest and join the waiting list, please click here