Agriculture


AI, Robotics, And The Future Of Precision Agriculture

#artificialintelligence

Smart money VCs like Bessemer Venture Partners, Accel Partners, Khosla Ventures, Lux Capital, and Data Collective have invested in general-purpose drone and computer vision companies with a focus on agricultural applications, like DJI and Orbital Insight, as well as ag tech startups like Blue River Technology. Orbital Insight has raised $78.7M in totally funding, including a $50M Series C round in Q1'17 backed by investors including Lux Capital, Sequoia Capital, and Google Ventures. In-field monitoring: This category includes drone manufactures with a focus on agriculture, as well as startups working on computer vision algorithms to process the data captured by drones and other on-field cameras. The National Science Foundation grantee is backed by smart money VCs Data Collective and Khosla Ventures.


Your Greens Might Soon Be Grown in Warehouses

National Geographic News

Bowery Farms grows hydroponic crops out of a warehouse in Kearny, New Jersey, using LED lights. Here, Bowery Farms co-founder and CEO Irving Fain talks about the future of urban farming and why it's important. Bowery vertically stacks its plants to maximize growing space. Of course, the idea of growing food indoors isn't really new--what's changed?


Japan's farming industry poised for automation revolution

The Japan Times

In a few years, robotic farming equipment will be able to plow and prepare soil while human farmers sleep. But unmanned farm machinery would require accurate positioning systems. The team is working on a robotic system that automatically observes the surrounding environment, recognizes obstacles and avoids them or halts operation if necessary. The key to the future of Japan's agriculture may be combining the knowledge of farmers like Someya and farming technology -- artificial intelligence that analyses and learns from a huge volume of data, and the introduction of robots.


AI, Robotics, And The Future Of Precision Agriculture

#artificialintelligence

Smart money VCs like Bessemer Venture Partners, Accel Partners, Khosla Ventures, Lux Capital, and Data Collective have invested in general-purpose drone and computer vision companies with a focus on agricultural applications, like DJI and Orbital Insight, as well as ag tech startups like Blue River Technology. Orbital Insight has raised $78.7M in totally funding, including a $50M Series C round in Q1'17 backed by investors including Lux Capital, Sequoia Capital, and Google Ventures. In-field monitoring: This category includes drone manufactures with a focus on agriculture, as well as startups working on computer vision algorithms to process the data captured by drones and other on-field cameras. The National Science Foundation grantee is backed by smart money VCs Data Collective and Khosla Ventures.


6 social entrepreneurs helping build a better tomorrow

Mashable

The UN's Sustainable Development Goals are a set of 17 objectives to tackle global issues like hunger, joblessness, poverty, climate change, and food waste, among others. Long term, Carroll envisions a world in which Skycision can help tackle macro issues affecting global food security. Womensphere has five cornerstone initiatives: Leveraging technology and media to educate and empower; developing programs to unleash women's potential; advancing the next generation of women leaders; mobilizing the global community; and recognizing world-changing innovators at the Womensphere Global Awards. The Ocean Cleanup, founded by Slat in 2013, is a pollution collection system driven by ocean currents.


AI for Good: How advanced crop intelligence can help solve food production challenges

#artificialintelligence

By being more effective in how they target crops, growers expe rience the economic benefits of reduced costs for crop protection, reduced crop threats, and therefore increased yields. Gamaya's precision agriculture services equip growers with information about the location, type, and intensity of the weeds infesting their fields. Targeted spraying reduces chemical usage, thereby significantly reducing the farm er's costs, lowering the negative impacts to the environment, and on human health, and likely slows the spread of herbicide-resistance. Not only is the cam era itself small, but it compresses data 100 times more efficiently than other hyperspectral cam eras, making our data processing quicker, less complex, and less expensive than with other hyperspectral sensors.


8 Disruptive Digital Technologies... with the Power to Transform Agriculture

#artificialintelligence

Drones are being used in soil and field analysis, planting, crop spraying/monitoring, irrigation and crop health assessment (as in this one minute video, demonstrating how a drone can be used to observe the impact of a crop feeding program). Syngenta and DuPont Pioneer both have made the foray into drone technology to assist farmers in making fertilizer application and irrigation decisions through aerial images. An exciting example in agriculture is machine vision, where computers process visual data collected via UAV, satellite or even smart phones and provide the farmer with useful information. A likely early use of VR is livestock video monitoring systems that send data back to a computer program, which in turn constructs a visual representation of the herd or brood allowing the farmer to check in on the cows or chickens remotely.


Solving The Bee Crisis with Machine Learning Big Cloud Recruitment

#artificialintelligence

Without the natural pollination bees provide, global food supply would deplete so rapidly, the effects would be disastrous. And what is Big Data and Artificial Intelligence doing to stop numbers from further decline? Monitoring bees movements in accordance with their environment, the Bee Smart device allows beekeepers to remotely monitor their hives. As the world faces many challenges, start-ups like the ones above are investing in making the world a better place for everyone by using big data, machine learning, and artificial intelligence.


Image analysis and artificial intelligence will change dairy farming: Cow gait images allow early detection of serious diseases

#artificialintelligence

Methods for finding lameness by detecting back arch had been studied; however, that method was effective in detecting moderate to severe lameness. This group established a method for the early detection of lameness from cow gait images with an accuracy of 99% or higher by using their own human gait analysis technique. Based on the large number of cow gait images taken by this sensor, this group characterized cow gaits, detecting cows with lameness through machine learning. He continues, saying, "By finely adjusting the amount of expressed milk and the amount of feed as well as by showing farmers cow conditions in detail through automatic analysis of cow conditions, we can realize a new era of dairy farming in which farmers can focus entirely on health management of their cows and delivering high-quality dairy products."


UAV-based crop and weed classification for future farming

Robohub

Modern approaches as agriculture system management and smart farming typically require detailed knowledge about the current field status. We use a comparably cheap, out-of-the-box UAV system to capture images of a field and compute a class label to each pixel, i.e., determine if that pixel belongs a crop or a weed. We address the problem of analyzing UAV imagery to inspect the status of a field in terms of weed types and spatial crop and weed distribution. Our experiments suggest that our proposed system is able to perform a classification of sugar beets and different weed types in RGB images captured by a commercial low cost UAV system.