Improving a Farming Fleet's Fuel Economy: 10 Impactful Changes
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It may not be the first consideration to come to mind, but fuel economy is a crucial factor in running a farm. Agriculture has an infamously large carbon footprint, emitting 698 million metric tons of CO2 equivalent in 2018.
Recent Innovations in Farm Equipment Allow for Increased Versatility: 11 Examples
Recent innovations in farm equipment allow for increased versatility on the farm. Here are 11 examples of the innovations that have helped change the course of farming and enable farmers to get their work done with fewer implementations and greater efficiency.
The 2019 AUVSI XPONENTIAL Trade Show
AUSVI XPONENTIAL brings together the entire unmanned systems community to share ideas and learn about the emerging trends of unmanned technology.
CLAAS and Trimble Announce Trimble Ready Option for LEXION Combines
The announcement was made at Agri Trade Equipment Expo.
Greenbot: Driverless Tractor
From Greenbot:
The Greenbot was introduced at the Agritechnica 2015 trade fair. The Greenbot is the first driverless machine to be developed especially for professionals working in the green sector who have to carry out repetitive tasks on a regular basis, such as working in fruit cultivation, horticulture, agriculture, or the municipal sector.
 The software that controls the fourwheel steering and hydraulic four-wheel drive system is userfriendly, safe and reliable. The Greenbot can be programmed to function fully independent and can be used to replicate tasks recorded in advance using a tractor with a driver. Programs can also be activated using the remote control, and then the Greenbot repeats the instructions. This mode is called 'Teach & Playback. The Greenbot is furthermore able to independently plan its own route and operations for specific applications, such as spraying orchards or mowing public green areas... ( site )
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Analysis of images when objects vary in color or size
How can a camera be taught to reliably detect deviations from the norm if they are not or not completely predictable? Rule-based image processing would have to capitulate - with the AI system IDS NXT, on the other hand, such a challenge can be easily solved from now on. In the new IDS NXT 3.0 release, IDS is making anomaly detection available to all customers as a third AI method, in addition to object detection and classification. You can even use only "GOOD" training images for training anomaly detection. In addition, relatively little training data is required compared to the other AI methods. This simplifies the development of an AI vision application and is well suited for evaluating the potential of AI-based image processing for new projects.
