AI is on the cusp of driving an agricultural revolution, and helping confront the challenge of feeding our growing global population in a sustainable way. But researchers warn that using new AI technologies at scale holds huge risks that are not being considered.
Intensifying agriculture using current farming methods will only amplify the harmful effects it has on the environment. Advances in agricultural technology may provide alternative farming methods that are less damaging and more productive.
Technology breakthroughs and innovative design have resulted in a new way to monitor and control the future of food production. Ensora Systems powers its monitoring and communications with any light - from LED light to sunlight.
Modern agriculture technologies such as crop monitoring drones, farm management software and livestock measuring sensors are just some of the tools improving crop production in a world full of depleting resources.
The cleaned asparagus is transported to optical quality recognition station and from there to the appropriate collecting container, which is subdivided into different quality levels. Images of asparagus were captured by cameras and transmitted by Firewire signals.
New propane flame weeding technology uses heat to rupture the internal cells of plants for a clean, highly effective solution for weed control that reduces reliance on herbicides and combats increasing weed resistance issues.
IDTechEx believes that the digitalization of agriculture will be more and more widely adopted. The transformation will not be overnight, and although the technology evolution is already underway, we can expect the pace of adoption to increase rapidly over the coming years.
Before using MagGrow, Sparrow could cover an average of 500 acres a day. Now, he can cover 800-1,000 acres in the same amount of time.
Security is a crucial yet often overlooked consideration for modern agriculture facilities. While people most commonly associate crime with large cities, not the rural farmland, farms are popular targets.
Today's agriculture is facing an increasing number of challenges - high production and labor cost despite the lack of skilled workers is only one out of many. To face these challenges, machine vision has become an integral part of many applications used in agriculture.
In the South of Russia, XAG's agricultural drone has been introduced to the full cycle of rice cultivation. It brings new hope to farmers as the use of drone demonstrates the potential to reduce the cost of rice production.
We are moving to a world where robots need to make intelligent decisions about what to do based on what they see. Hence the need for machine learning, vision and AI.
The lettuce's outer, or 'wrapper', leaves will be mechanically removed to expose the stem. Machine vision and artificial intelligence are then used to identify a precise cut point on the stem to neatly separate the head of lettuce.
It analyses recent challenges in the agriculture industry and how robotics and technology developments will change the business of agriculture, enabling ultra-precision farming, helping to mitigate the challenges, and maintaining sustainable developments.
Cover crops. No-till. Biological diversity. Microbial health. You've heard it all before. The techniques and principles of good soil health practices are well known but not widely adopted. Why?
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Precision Farming - Featured Product
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