This paper presents a motion-coupled mapping algorithm for contour mapping of hybrid rice canopies, specifically designed for Agricultural Unmanned Ground Vehicles (Agri-UGV) navigating complex and unknown rice fields. Precise canopy mapping is essential for Agri-UGVs to plan efficient routes and avoid protected zones. The motion control of Agri-UGVs, tasked with impurity removal and other operations, depends heavily on accurate estimation of rice canopy height and structure. To achieve this, the proposed algorithm integrates real-time RGB-D sensor data with kinematic and inertial measurements, enabling efficient mapping and proprioceptive localization. The algorithm produces grid-based elevation maps that reflect the probabilistic distribution of canopy contours, accounting for motion-induced uncertainties. It is implemented on a high-clearance Agri-UGV platform and tested in various environments, including both controlled and dynamic rice field settings. This approach significantly enhances the mapping accuracy and operational reliability of Agri-UGVs, contributing to more efficient autonomous agricultural operations.

This story originally appeared on Yale Environment 360 and is part of the Climate Desk collaboration. Some 50 miles southwest of Taipei, Taiwan's capital, and strategically located close to a cluster of the island's top universities, the 3,500-acre Hsinchu Science Park is globally celebrated as the incubator of Taiwan's most successful technology companies. It opened in 1980, the government having acquired the land and cleared the rice fields,with the aim of creating a technology hub that would combine advanced research and industrial production. Today Taiwan's science parks house more than 1,100 companies, employ 321,000 people, and generate 127 billion in annual revenue. Along the way, Hsinchu Science Park's Industrial Technology Research Institute has given birth to startups that have grown into world leaders.

Virginia farmer John Boyd Jr., weighs in on a watchdog's satellite tracking methane emissions and a provision in the omnibus bill that allocates funds for electronically tracking livestock. There is one thing that distinguishes 60-year-old Vo Van Van's rice fields from a mosaic of thousands of other emerald fields across Long An province in southern Vietnam's Mekong Delta: It isn't entirely flooded. Using less water and using a drone to fertilize are new techniques that Van is trying and Vietnam hopes will help solve a paradox at the heart of growing rice: The finicky crop isn't just vulnerable to climate change but also contributes uniquely to it. Rice must be grown separately from other crops and seedlings have to be individually planted in flooded fields; backbreaking, dirty work requiring a lot of labor and water that generates a lot of methane, a potent planet-warming gas that can trap more than 80-times more heat in the atmosphere in the short term than carbon dioxide. A large drone carrying fertilizer flies over Vo Van Van's rice fields in Long An province in southern Vietnam's Mekong Delta, on Jan. 23, 2024.

This paper aims to detect rice field damage from natural disasters in Bangladesh using high-resolution satellite imagery. The authors developed ground truth data for rice field damage from the field level. At first, NDVI differences before and after the disaster are calculated to identify possible crop loss. The areas equal to and above the 0.33 threshold are marked as crop loss areas as significant changes are observed. The authors also verified crop loss areas by collecting data from local farmers. Later, different bands of satellite data (Red, Green, Blue) and (False Color Infrared) are useful to detect crop loss area. We used the NDVI different images as ground truth to train the DeepLabV3plus model. With RGB, we got IoU 0.41 and with FCI, we got IoU 0.51. As FCI uses NIR, Red, Blue bands and NDVI is normalized difference between NIR and Red bands, so greater FCI's IoU score than RGB is expected. But RGB does not perform very badly here. So, where other bands are not available, RGB can use to understand crop loss areas to some extent. The ground truth developed in this paper can be used for segmentation models with very high resolution RGB only images such as Bing, Google etc.

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The program was developed by the National Search Commission to identify patterns and clues to help find missing persons in the so-called dirty wars of the late last century. He added that the system had already stored thousands of documents since then, and that information was still being fed and processed, but made his first contribution to the work of the Access to Truth Commission rice field. Historians have explained that the system had an interface for uploading documents, an interface for processing them, and an interface for querying a database in which the information was organized as a network. They emphasized that no similar system existed in Mexico so far and that countries such as Chile have shown interest in this system.

By 2024, the Earth's population will total more than 8 billion for the first time in history, adding new stresses on the global supply chain, which is already challenged by a volatile climate and water supply shortages. To meet future food demands, farmers are implementing innovative tech solutions. For example, IBM researchers are working on solutions that tap artificial intelligence (AI) and Internet of Things (IoT) and cloud-connected devices at every step of the food supply chain. New IoT systems are helping monitor the health of beehives to ensure the security of the world's food supply. Farmers are also implementing new technology such as diagnostic drones, which can disperse pesticide and fertilizer to rice fields in Japan and using AI-enhanced robotic harvesters, complete with enhanced dexterity, to tackle crops of various shapes and sizes.

Xinghua, China (Reuters) - A brand new combine harvester buzzes up and down a field in eastern China without a driver on board, chopping golden rice stalks and offering a glimpse of what authorities say is the automated future of the nation's mammoth agricultural sector. The bright green prototype was operating last autumn during a trial of driverless farm equipment as the government pushes firms to develop within 7 years fully-automated machinery capable of planting, fertilizing and harvesting each of China's staple crops - rice, wheat and corn. That shift to automation is key to the farming sector in the world's No.2 economy as it grapples with an ageing rural workforce and a dearth of young people willing to endure the hardships many associate with toiling on the land. Other countries like Australia and the United States are taking similar steps in the face of such demographic pressures, but the sheer scale of China's farming industry means the stakes are particularly high in its drive to automate agriculture. "Automated farming is the way ahead and demand for it here is huge," said Cheng Yue, general manager of tractor maker Changzhou Dongfeng CVT Co Ltd, which provided an autonomous vehicle that was also used at the trial in the rice field in Xinghua, a county in the eastern province of Jiangsu.

The next generation farmhand in Japan's aging rural heartland may be a drone. For several months, developers and farmers in northeast Japan have been testing a new drone that can hover above paddy fields and perform backbreaking tasks in a fraction of the time it takes for elderly farmers. "This is unprecedented high technology," said Isamu Sakakibara, a 69-year-old rice farmer in the Tome area, a region that has supplied rice to Tokyo since the 17th century. Developers of the new agricultural drone say it offers high-tech relief for rural communities facing a shortage of labor as young people leave for the cities. "As we face a shortage of next-generation farmers, it's our mission to come up with new ideas to raise productivity and farmers' income through the introduction of cutting-edge technologies such as drones," said Mr. Sakakibara, who is also the head of JA Miyagi Tome, the local agricultural cooperative. The drone can apply pesticides and fertilizer to a rice field in about 15 minutes – a job that takes more than an hour by hand and requires farmers to lug around heavy tanks.