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Soil

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[Multi-factor Impact Analysis of Grassland Phenology Changes on the Qinghai-Xizang Plateau Based on Interpretable Machine Learning].

Huan jing ke xue= Huanjing kexue
The vegetation phenology of the Qinghai-Xizang Plateau is changing significantly in the context of climate change. However, there are many hydrothermal factors affecting the phenology, and few studies have focused on the effects of multiple factors o...

Enhancing rainfall-runoff model accuracy with machine learning models by using soil water index to reflect runoff characteristics.

Water science and technology : a journal of the International Association on Water Pollution Research
The advancement of data-driven models contributes to the improvement of estimating rainfall-runoff models due to their advantages in terms of data requirements and high performance. However, data-driven models that rely solely on rainfall data have l...

DEVELOPMENT OF A ROBOT FOR THE MEASUREMENT OF RADIOACTIVE CONTAMINATION AND FERTILITY OF THE SOIL IN FARMLAND.

Radiation protection dosimetry
A tractor-based robot with the capability of real-time assessing and visualizing the radioactive material density and fertility distribution of farmlands has been developed to accelerate the recovery process of the farmlands suffered by the accident ...

[Predicting soil property in hilly regions by using landscape and multiscale micro-landform features].

Ying yong sheng tai xue bao = The journal of applied ecology
To assess the high-resolution digital soil mapping method for small watersheds in hilly areas, we explored the role of landscape classification and multiscale micro-landform features in predicting soil pH, soil clay content (SCC), and cation exchange...

Rain garden infiltration rate modeling using gradient boosting machine and deep learning techniques.

Water science and technology : a journal of the International Association on Water Pollution Research
Rain garden is effective in reducing storm water runoff, whose efficiency depends upon several parameters such as soil type, vegetation and meteorological factors. Evaluation of rain gardens has been done by various researchers. However, knowledge fo...

Digging roots is easier with AI.

Journal of experimental botany
The scale of root quantification in research is often limited by the time required for sampling, measurement, and processing samples. Recent developments in convolutional neural networks (CNNs) have made faster and more accurate plant image analysis ...

Forecasting beef production and quality using large-scale integrated data from Brazil.

Journal of animal science
With agriculture rapidly becoming a data-driven field, it is imperative to extract useful information from large data collections to optimize the production systems. We compared the efficacy of regression (linear regression or generalized linear regr...

[Effects of Soil Microbial Diversity on the Phosphate Fraction in the Rhizosphere of in the Yeyahu Wetland in Beijing, China].

Huan jing ke xue= Huanjing kexue
In this research, microorganisms in rhizosphere/non-rhizosphere soils of in the Yeyahu Wetland were studied. A sequential extraction procedure was used to analyze the phosphorus (P) forms in the rhizosphere/non-rhizosphere soil with a variety of pla...

[Application of simulated annealing method and neural network on optimizing soil sampling schemes based on road distribution].

Ying yong sheng tai xue bao = The journal of applied ecology
Taking the soil organic matter in eastern Zhongxiang County, Hubei Province, as a research object, thirteen sample sets from different regions were arranged surrounding the road network, the spatial configuration of which was optimized by the simulat...