Artificial neural network (ANN) in forecasting of poverty line and economic-energetic efficiencies into the maize-based agroecosystems

IF 2.3 4区 农林科学 Q1 AGRONOMY
Ruben Purroy Vasquez, Alberto A. Aguilar Lasserre, Ramiro Meza Palacios, Gregorio Fernández Lambert
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引用次数: 0

Abstract

In Mexico, corn is cultivated in small agroecosystems by rural farmers on communal lands. These farmers are economically vulnerable, and low yields from their plots affect both their economic and f...
人工神经网络(ANN)在玉米农业生态系统贫困线和经济能量效率预测中的应用
在墨西哥,农民在公共土地上的小型农业生态系统中种植玉米。这些农民在经济上是脆弱的,他们地块的低产量影响了他们的经济和农业。
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来源期刊
CiteScore
5.50
自引率
4.20%
发文量
107
期刊介绍: rchives of Agronomy and Soil Science is a well-established journal that has been in publication for over fifty years. The Journal publishes papers over the entire range of agronomy and soil science. Manuscripts involved in developing and testing hypotheses to understand casual relationships in the following areas: plant nutrition fertilizers manure soil tillage soil biotechnology and ecophysiology amelioration irrigation and drainage plant production on arable and grass land agroclimatology landscape formation and environmental management in rural regions management of natural and created wetland ecosystems bio-geochemical processes soil-plant-microbe interactions and rhizosphere processes soil morphology, classification, monitoring, heterogeneity and scales reuse of waste waters and biosolids of agri-industrial origin in soil are especially encouraged. As well as original contributions, the Journal also publishes current reviews.
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