Maize yield in smallholder agriculture system-An approach integrating socio-economic and crop management factors

Yield gaps of maize (Zea mays L.) in the smallholder farms of eastern India are outcomes of a complex interplay of climatic variations, soil fertility gradients, socio-economic factors, and differential management intensities. Several machine learning approaches were used in this study to investigat...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one 2020-02, Vol.15 (2), p.e0229100-e0229100
Hauptverfasser:	Dutta, Sudarshan, Chakraborty, Somsubhra, Goswami, Rupak, Banerjee, Hirak, Majumdar, Kaushik, Li, Bin, Jat, M L
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural management Agricultural production Agriculture Agronomy Algorithms Analysis Artificial neural networks Biology and Life Sciences Climate variations Complex variables Computer simulation Corn Crop growth Crop management Crop Production - methods Crop Production - statistics & numerical data Crop yield Crop yields Crops Crops, Agricultural - physiology Data Analysis Ecology and Environmental Sciences Economic aspects Economic conditions Economic factors Economics Empirical analysis Farming systems Farms Farms - statistics & numerical data Fertility - physiology Fertilizers Fertilizers - statistics & numerical data India Labor Learning algorithms Learning theory Machine learning Management Models, Statistical Neural networks Organic fertilizers Organic wastes Physical Sciences Production management Research and Analysis Methods Seeds Small farms Social factors Socioeconomic Factors Socioeconomics Soil - chemistry Soil fertility Soils Studies Support Vector Machine Support vector machines Surveys Zea mays - physiology
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!