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Infosys explains how an enterprise can become a Live enterprise. One that is sensing, responding and evolving with the needs of the time. We do this by deploying the right technology capabilities and solutions.
One such example is in our own Smart farm in Hyderabad, India. See how Infosys is using drones and other new technologies to navigate the farm of the future.
Would you drink purified garbage juice or eat food grown in a warehouse? In episode three of Hacking the Apocalypse, Claire Reilly explores the tech saving the planet's water.
They say that Russia is a technically backward country, there are no roads, robotics do not develop, rockets do not fly, and mail goes too long. It’s a bullshit.
Говорят, что Россия – технически отсталая страна, нет дорог, роботехника не развивается, ракеты не летают, а почта идет слишком долго. It’s a bullshit.
Written and directed by: Sergey Vasiliev
Acting: Sergei Chikhachev
Olga Zhevakina
На днях на Ютубе из ниоткуда появился ролик про русскую кибердеревню, который меньше чем за сутки собрал миллион просмотров, а уже сейчас добрался почти до трёх.
Алексей Луцай созвонился с режиссёром ролика, Сергеем Васильевым, и выяснил, зачем и как это ролик сняли, а ещё будет ли у этой вселенной продолжение.
В кадре: Сергей Васильев, Алексей Луцай
Монтаж: Алексей Луцай
7 farming robots to change agriculture. Robots in farming have never been so important as they are know. Agriculture robotics help humans in farming and the demand for AI robots is huge since many tasks are still performed semi manually or technology does not payoff at the current stage. However, farming robots are already doing the dirty work in more fields than people may realize.
Agricultural robots automate slow, repetitive and dull tasks for farmers, allowing them to focus more on improving overall production yields. Some of the most common robots in agriculture are used for: Harvesting and picking. Weed control.
In this video:
0:00 ➤ Intro
0:18 ➤ Tevel - Drone fruit picker.
tevel-tech.com
1:06 ➤ Cambridge University - Lettuce harvester.
www.cam.ac.uk
1:48 ➤ AgXeed - AgBot.
agxeed.com
2:28 ➤ Octinion - Rubion.
picking.technology
3:23 ➤ John Deere - Autonomous Sprayer.
deere.com
4:23 ➤ Volocopter - VoloDrone.
volocopter.com
5:21 ➤ John Deere - Autonomous Electric Tractor
deere.com
"Build a Robot so I never have to climb into a grain bin again."
Grain bins are extremely dangerous places for farmers of all ages - The Grain Weevil was built to save lives. The auger-style robot levels grain in the bin to help break up crusts and bridges, avoid entrapments, and improve grain quality.
Large grain bins are used to store surplus grain supplies and allow farmers to hold their yield for higher prices. Managing grain condition and extraction require farmers to physically enter the grain bin, which is difficult and dangerous, often trapping and even killing farmers. A lack of proper management and extraction systems cause a 30% loss in cereal grain value worldwide. The Grain Weevil is a grain extraction and bin management robot that scurries across the top of the grain within a bin, smoothing out clumps so that the grain can be properly aerated and easily extracted from the bin. This device helps farmers safely and efficiently manage the extraction of grain from the bin, as well as maintain grain quality while in storage.
Full title: Towards Autonomous Robotic Precision Harvesting: Mapping, Localization, Planning and Control for a Legged Tree Harvester
We present an integrated system for performing precision harvesting missions using a legged harvester (HEAP) in a confined, GPS denied forest environment. The mission starts with a human mapping the area of interest using a custom-made sensor module. Subsequently, a human expert selects the trees for harvesting. The sensor module is then mounted on the machine and used for localization within the given map. Upon reaching the approach pose, the machine grabs a tree with a general-purpose gripper. This process repeats for all the trees selected by the operator. Our system has been tested on a testing field with tree trunks and in a natural forest.
The paper can be found on arxiv:
https://arxiv.org/abs/2104.10110