one such technology both vineyards have been adopting is from a company called deep planet, an agritech start up using al to inform decision making. in winemaking. we use satellite imagery and artificial intelligence, or machine learning, to help wine growers make better decisions. so, we help them predict yield, understand when is the right time to harvest. holistically, we are providing a full stack solution for the wine industry, to help them reduce costs as well as to improve the quality of wine. so obviously there s a lot of data that s coming into this system from a variety of different sources. how do we get that? how does the system make that into something that s perhaps more understandable to someone like me that s looking at this? yeah, so we incorporate different technologies. in addition to satellite imagery, we also use ai and machine learning. effectively, we re using a whole pool of data that we have from existing growers. we have more than 40,000 hectares under our pla
but laura goodwin has been to see a new piece of tech that could take vertical farming to the next level. a warm, sunny day like today is a gift for farmers, who very much rely on the climate and their own expertise to ensure their plants are healthy and happy. but what if they could control the climate? and what if they found a way that the plants could tell the farmer what they needed? one agritech company, gardin, thinks they ve worked out how to do exactly this. well, what do we have here? one of our partner vertical farm facilities where we ve installed our sensors. wow, look at all this! and it smells incredible. chillies on this side. got chillies here. we have some flowers down here edible flowers. some strawberries. there s 25 trays high here, growing a number of species. and all of this is being monitored by the gardin sensors here, which are mounted on the mobile platform.
and how much water there is available for them. the global population is expected to hit ten billion by 2050. that s a lot more mouths to feed. it s a perfect storm, and things are going to have to change. we ve seen in the past how verticalfarming could play an important role in that, but it is still a pretty new technology. but laura goodwin has been to see a new piece of tech that could take vertical farming to the next level. a warm, sunny day like today is a gift for farmers, who very much rely on the climate and their own expertise to ensure their plants are healthy and happy. but what if they could control the climate? and what if they found a way that the plants could tell the farmer what they needed? one agritech company, gardin, thinks they ve worked out how to do exactly this. well, what do we have here?
to have to change. we ve seen in the past how verticalfarming could play an important role in that, but it is still a pretty new technology. but laura goodwin has been to see a new piece of tech that could take vertical farming to the next level. a warm, sunny day like today is a gift for farmers, who very much rely on the climate and their own expertise to ensure their plants are healthy and happy. but what if they could control the climate? and what if they found a way that the plants could tell the farmer what they needed? one agritech company, gardin, thinks they ve worked out how to do exactly this. well, what do we have here? one of our partner vertical farm facilities where we ve installed our sensors. wow, look at all this! and it smells incredible.
new technologies. one such technology both vineyards have been adopting is from a company called deep planet, an agritech start up using al to inform decision making. in winemaking. we use satellite imagery and artificial intelligence, or machine learning, to help wine growers make better decisions. so, we help them predict yield, understand when is the right time to harvest. holistically, we are providing a full stack solution for the wine industry, to help them reduce costs as well as to improve the quality of wine. so obviously there s a lot of data that s coming into this system from a variety of different sources. how do we get that? how does the system make that into something that s perhaps more understandable to someone like me that s looking at this? yeah, so we incorporate different technologies. in addition to satellite imagery, we also use ai and machine learning.