用于非洲土壤特性预测的深度神经网络模型的性能评估与比较

IF 1.3 4区农林科学 Q3 AGRONOMY

Communications in Soil Science and Plant Analysis Pub Date : 2024-07-19 DOI:10.1080/00103624.2024.2378158

Darlington Egeonu, Bochen Jia

引用次数: 0

摘要

土壤对农业和人类生存的重要性怎么强调都不为过。鉴于土壤供应有限，改善土壤性质势在必行。本研究通过预测...

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Performance Evaluation and Comparison of Deep Neural Network Models for African Soil Properties Prediction

The significance of soil in agriculture and human survival cannot be overstated. Given its limited supply, improving soil properties is imperative. This study addresses this challenge by predicting...

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来源期刊

Communications in Soil Science and Plant Analysis 农林科学-分析化学

CiteScore

3.30

自引率

5.60%

发文量

276

审稿时长

9.9 months

期刊介绍： International in coverage, Communications in Soil Science and Plant Analysis presents recent advances in plant and soil science, emphasizing on methods of analysis and interpretation of elemental content of soils and plants and plant nutrition. The Journal emphasizes agronomic and plantation crops with topics ranging from nutrition and methodology to precision agriculture, sustainable use of land and water resources, and increasing yield. Additional topics that are also covered in Communications in Soil Science and Plant Analysis : adverse growing conditions dealing with salinity and drought tolerance and their effects on crop yields soil chemistry; mineralogy; fertility and testing of soils; soil-crop nutrition; plant analysis; interpretation and correlation of soil tests and plant analyses; liming and fertilization of soils; and techniques for correcting deficiencies. Scientists and crop consultants around the world benefit from the research published in Communications in Soil Science and Plant Analysis . The research can be utilized to further educational research programs and may also be applied to field operations, which are continuously changing and expanding based upon the peer reviewed research conducted and published in the journal.