Results 101 to 110 of about 2,247,232 (285)
Does Contract Farming Reduce Pesticide Use? Panel Data Evidence From Smallholder Farmers in China
Agribusiness, EarlyView.ABSTRACT The inappropriate and excessive use of pesticides poses a major threat to human and ecosystem health in the agri‐food sector. While existing studies have examined the potential of contract farming to address this issue, most have focused on large‐scale farms and relied on small or transactional datasets, often leaving the role of crop‐specific
Zhihui Liang, Shan Jin, Matthew Gorton
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley +1 more source
Three-Dimensional Vibration-Based Terrain Classification for Mobile Robots
IEEE Access, 2019 Extraterrestrial celestial patrol missions have introduced very strict requirements for the performance of rovers, due to their high cost. Vision-based or Lidar-based environment sensing technology has matured.
Chengchao Bai +2 more
doaj +1 more source
SVM-based sensor fusion for improved terrain classification
, 2020 Terrain sensing is an important aspect of navigation for autonomous ground vehicles (AGVs) in off-road conditions. Modern AGVs have several sensors that can be used to detect terrain.
Kysar, Sam, Bos, Jeremy, Kurup, Akhil
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The Collective Power of Bacteria as a Blueprint for Emergent Intelligence
Advanced Intelligent Systems, EarlyView.Small cells, powerful collectives. Bacteria demonstrate how sophisticated behaviors can emerge from many simple individuals working together. We explore the remarkable world of bacterial communities and the mechanisms that underpin their complex emergent behaviors, enabling impressive adaptability, robustness, and responsiveness to changing ...
Johanna A. Blee +2 more
wiley +1 more source
Terrain classification maps of Yellowstone National Park [PDF]
, 1973 A cooperative ERTS-1 investigation involving U. S. Geological Survey, National Park Service, and Environmental Research Institure of Michigan (ERIM) personnel has as its goal the preparation of terrain classification maps for the entire Yellowstone ...
Thomson, F. J., Roller, N. E. G.
core
Advanced Intelligent Systems, EarlyView.A distributed multirobot architecture enables asynchronous vineyard inspection and localized treatment through a cloud‐based mission control center. Real‐world validation demonstrates reliable coordination of heterogeneous robots, accurate disease detection, and effective conversion of georeferenced observations into targeted treatment actions ...
José M. Bengochea‐Guevara +7 more
wiley +1 more source
Use of a Multilayer Perceptron to Automate Terrain Assessment for the Needs of the Armed Forces
ISPRS International Journal of Geo-Information, 2018 The classification of terrain in terms of passability plays a significant role in the process of military terrain assessment. It involves classifying selected terrain to specific classes (GO, SLOW-GO, NO-GO).
Krzysztof Pokonieczny
doaj +1 more source
Open-ended texture classification for terrain mapping
, 2000 This paper introduces a new classification scheme called “open-ended texture classification”. The standard approach for texture classification is to use a closed n-class classifier based on the Bayesian paradigm.
Longstaff, I. Dennis +3 more
core +1 more source