Results 51 to 60 of about 3,566,037 (267)
Soil organic carbon variability assessment using satellite imagery and artificial neural network
The Indian Journal of Agricultural SciencesThe present study was carried out during 2022–2024 at Indian Institute of Information Technology, Nagpur, Maharashtra to evaluate SOC stocks in the Dhamtari district of Chhattisgarh, India.
SHYAMAL MUNDADA, POOJA JAIN
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Acute hydrological natural hazards, such as floods, not only affect the lives and properties of people but also cause severe damage to the critical infrastructures, which needs to be function even in substandard situations.
Hamid Reza Pourghasemi +6 more
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Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
علوم آب و خاک, 2020 Digital soil mapping plays an important role in upgrading the knowledge of soil survey in line with the advances in the spatial data of infrastructure development.
Z. Maghsodi +5 more
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Predictive quality of three boosted regression tree (BRT) models for ln(SOC).
, 2015 Notes: MA, Topography + climate + Landsat TM; MB, Topography + climate; MC, Landsat TM; MAE, the mean absolute error; RMSE, the root mean squared error; R2, the coefficient of determination; LCCC, Lin’s concordance correlation coefficient.Predictive ...
Yuguo Zhao (815095) +8 more
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An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Ecological Indicators, 2023 Soil erosion reduces soil fertility and land productivity while enhancing desertification, which seriously threatens ecological security, carbon sequestration, and sustainable economic and social development.
Boqing Wen +5 more
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Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Frontiers in Human NeuroscienceFlavor, a multimodal perception based on taste, smell, and tactile cues, plays a significant role in consumer preferences and purchase intentions toward coffee.
Marco Bilucaglia +9 more
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Setting thresholds of ecosystem structure and function to protect streams of the Brazilian savanna
Frontiers in Environmental Science, 2022 Freshwater environments are among the most threatened by human activities, consequently, their ecosystem structures and functions are targets of significant transformations.
Camila Aida Campos +4 more
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