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Automatic Recovery Estimation of Degraded Soils by Artificial Neural Networks in Function of Chemical and Physical Attributes in Brazilian Savannah Soil
(Taylor & Francis Inc, 2019-06-27)
The Oxisols is predominant in 54% of Brazilian territories and characterized by high weathering, relatively low chemical properties, and adequate structure. This study aimed to analyze the Oxisols through an Artificial ...
Artificial Neural Network for Classification and Analysis of Degraded Soils
(Ieee-inst Electrical Electronics Engineers Inc, 2017-03-01)
This study aimed to evaluate the Artificial Neural Network (ANN) to establish a classification and analysis of degraded soils and its recovery in response to lime and gypsum application. The analyzed degraded soil was ...
Artificial Neural Network for Classification and Analysis of Degraded Soils
(2017-03-01)
This study aimed to evaluate the Artificial Neural Network (ANN) to establish a classification and analysis of degraded soils and its recovery in response to lime and gypsum application. The analyzed degraded soil was ...
Using a nitrogen mineralization index will improve soil productivity rating by artificial neural networks
(Taylor & Francis, 2020-03)
In the Pampas, nitrogen fertilization rates are low and soil organic matter impacts crop yield. Wheat (Triticum aestivum L.) yield was related to total soil nitrogen (total N) and to nitrogen mineralization potential ...
Pedofunctions applied to the least limiting water range to estimate soil water content at specific potentials
(2019-01-01)
The least limiting water range (LLWR) is a soil physical quality indicator that receives much attention. It has been criticized and put to the test regarding mathematical models that compose it since they describe the ...
Estimation of soil penetration resistance with standardized moisture using modeling by artificial neural networks
(2020-06-01)
One of the most used evaluations to monitor soil compaction is based on soil penetration resistance (SPR). However, since SPR is influenced by soil moisture, this evaluation performed in the field may often lead to incorrect ...