Results 61 to 70 of about 24,634 (305)
Digital soil mapping across the globe
International audienceDigital soilmapping has largely expanded across the globe since the early 2000s. Numerous national, continental and global digital soil mapping products have been produced.
Hartemink, Alfred E. +5 more
core +1 more source
Digital mapping of soil texture classes for efficient land management in the Piedmont plain of Iran
Accurate prediction of digital soil maps allows for the evaluation of larger areas with respect to the design of efficient land management plans at the regional scale.
Yeboah Gyasi‐Agyei +9 more
core +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Mapping the spatial distribution of soil taxonomic classes is important for useful and effective use of soil and management decisions. Digital soil mapping (DSM) may have advantages over conventional soil mapping approaches as it may better capture ...
F. Abbaszadeh Afshar +2 more
doaj
Assessing the capability of satellite data for soil mapping [PDF]
The purpose of this research is to evaluate the potential of using landsat ETM+ data for soil mapping. The study area is located in center of Iran and covers about 1300 ha.
Salehi, Mohammad Hasan +3 more
core
Edible robotics is an emerging field that leverages edible materials to construct robotic systems. This study presents a method to create thin, lightweight, yet powerful edible soft actuators, namely edible pouch motors. The successful operation of these edible actuators and grippers renders their potential to advance future developments in edible ...
Keigo Takahashi +3 more
wiley +1 more source
One of the problems with the traditional mapping of soils is the expert’s opinion, it time-consuming and timely preparation, and the updating of the maps.
A. Fariabi, H. Matinfar
doaj
Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area
: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being used for different soil mapping purposes. Considering the variety of models available, it is important to know their performance in relation to soil data
Martin Meier +4 more
doaj +1 more source
Modeling soil bulk density at the landscape scale and its contributions to C stock uncertainty [PDF]
Soil bulk density (Db) is a major contributor to uncertainties in landscape-scale carbon and nutrient stock estimation. However, it is time consuming to measure and is, therefore, frequently predicted using surrogate variables, such as soil texture ...
R. Creamer (6105116) +16 more
core +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source

