In this paper, an improved method for VR user experience prediction is investigated by introducing a sparrow search algorithm and a random forest algorithm improved by an iterative local search-optimised sparrow search algorithm. The study firstly conducted a statistical analysis of the data, and then trained and tested using the traditional random forest model, the random forest model improved by the sparrow search algorithm, and the random forest algorithm improved based on the iterative local search-sparrow search algorithm, respectively. The results show that the traditional random forest model has a prediction accuracy of 93% on the training set but only 73.3% on the test set, which is poor in generalisation; whereas the model improved by the sparrow search algorithm has a prediction accuracy of 94% on the test set, which is improved compared with the traditional model. What is more noteworthy is that the improved model based on the iterative local search-sparrow search algorithm achieves 100% accuracy on both the training and test sets, which is significantly better than the other two methods. These research results provide new ideas and methods for VR user experience prediction, especially the improved model based on the iterative local search-sparrow search algorithm performs well and is able to more accurately predict and classify the user's VR experience. In the future, the application of this method in other fields can be further explored, and its effectiveness can be verified through real cases to promote the development of AI technology in the field of user experience.

Early this week, tractor maker John Deere said it had signed a memorandum of understanding with the American Farm Bureau Federation, an agricultural trade group, promising to make it easier for farmers to access tools and software needed to repair their own equipment. The deal looked like a concession from the agricultural equipment maker, a major target of the right-to-repair movement, which campaigns for better access to documents and tools needed for people to repair their own gear. But right-to-repair advocates say that despite some good points, the agreement changes little, and farmers still face unfair barriers to maintaining equipment they own. Kevin O'Reilly, a director of the right-to-repair campaign run by the US Public Interest Research Group, a grassroots lobbying organization, says the timing of Deere's deal suggests the company may be trying to quash recent interest in right-to-repair laws from state legislators. In the past two years, corn belt states including Nebraska and Missouri, and also Montana, have considered giving farmers a legal right to tools needed to repair their own equipment. But no laws have been passed.

A John Deere autonomous tractor is on display at CES 2022 in Las Vegas, Nevada. A John Deere autonomous tractor is on display at CES 2022 in Las Vegas, Nevada. Like many parts of modern life, tractors have gone high-tech, often running on advanced computer systems. But some manufacturers are tight-lipped about how these electronics work, making it difficult or nearly impossible for farmers and independent repair shops to diagnose and fix problems with the equipment. An agreement by John Deere may finally give farmers a greater hand in repairing the company's products.

John Deere is announcing the acquisition of a state-of-the-art algorithm package from artificial intelligence startup Light. For those of you wondering when driverless vehicles will truly begin to make their mark on society, the answer is: today. Up front: No, you won't be seeing green tractors rolling themselves down city streets anytime soon. But the timeline for fully autonomous farming is being massively accelerated. Today's purchase is all about John Deere's need for speed -- and accuracy, but first let's talk about rapid development.

Ford and security company ADT have formed a joint venture that will help businesses protect vehicles and expensive equipment they carry from theft. The first product from the venture called Canopy is a system that uses cameras, radar, global positioning and artificial intelligence to spot a potential thief and notify ADT, which will monitor the feeds and notify the customer or authorities if needed. The system will be offered as accessory on Ford and other top-selling vehicles starting next year. The company expects to integrate it in factory vehicles and offer it to other manufacturers over time. The first cameras will be available in the United States and the United Kingdom, including Ford pickups and commercial vans.

Agricultural equipment maker John Deere says the fully autonomous tractor combines machine learning with the company's GPS-powered auto-steer …

Agricultural hardware giant and scourge of right-to-repair advocates everywhere John Deere is ready to show off its finished, fully-autonomous tractor. Here at CES, the company is saying that this unit is going to be put into large-scale production, and will be made available to farmers later this year. When in use, a farmer can set the hardware to work and then leave it running, allowing them to tend to vital work elsewhere. The idea, so the company says, is to help make farming more efficient and more robust in the face of ever-increasing demand and dwindling resources. John Deere's ambitions in this space have been running for some time, and the company was showing off an autonomous tractor at this show in 2019.

Deere & Co. helped mechanize agriculture in 1837 with the first commercially successful steel plow. On Tuesday, the company unveiled a machine that could prove just as transformative: a fully autonomous tractor. John Deere's new 8R tractor uses six pairs of stereo cameras and advanced artificial intelligence to perceive its environment and navigate. It can find its way to a field on its own when given a route and coordinates, then plow the soil or sow seeds without instructions, avoiding obstacles as it goes. A farmer can give the machine new orders using a smartphone app.

Russia is claiming the first standard production artificial intelligence powered combine harvesters will come to market this month. Autonomous driving technology specialist, Cognitive Pilot, and Bryanskselmash, agricultural equipment manufacturer, have agreed fit automated drive technology to series produced harvesters rolling off the production line from the end of April 2021. The partners plan to expand joint marketing and other activities that will increase the attractiveness of the solution and expand its geographical reach. In another venture, Cognitive Pilot and Rosagroleasing, Russia's largest state-owned agricultural leasing company, have announced first contracts for AI-based agricultural equipment. This will make equipment available to domestic agricultural enterprises, seeking to improve efficiency, including both medium-size and small-size enterprises.

Agtech capabilities are bringing traditional farming into the 21st century. These solutions range from sprawling LED-equipped indoor farming facilities to robotically plucking ripe produce off the vine using computer vision and artificial intelligence (AI). On Thursday, John Deere and Intel announced a pilot program that relies on AI and computer vision to detect defects in manufacturing related to the welding process. "Welding is a complicated process. This AI solution has the potential to help us produce our high-quality machines more efficiently than before," said Andy Benko, quality director at John Deere Construction and Forestry Division.