Πλοήγηση ανά Θέμα "Cotton"
Αποτελέσματα 1-12 από 12
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Application of fuzzy cognitive maps for cotton yield management in precision farming
(2009)The management of cotton yield behavior in agricultural areas is a very important task because it influences and specifies the cotton yield production. An efficient knowledge-based approach utilizing the method of fuzzy ... -
A Comparison between Variable Deficit Irrigation and Farmers’ Irrigation Practices under Three Fertilization Levels in Cotton Yield (Gossypium hirsutum L.) Using Precision Agriculture, Remote Sensing, Soil Analyses, and Crop Growth Modeling
(2022)The major global challenge for the coming decades will be increasing crop production with less water consumption. Precision agriculture (PA) and variable deficit irrigation (VDI) are management strategies that help farmers ... -
Cotton and cardoon byproducts as potential growing media components for Cichorium spinosum L. commercial cultivation
(2019)The intensification of horticultural crops cultivation makes urgent the seeking for alternative growth substrates that could substitute non-renewable and/or synthetic growing media, such as peat and rock wool. The aim of ... -
Cotton lint quality spatial variability and correlation with soil properties and yield
(2005)Seed cotton samples were collected in a field from which yield maps had been taken in the previous three years. The samples were analysed in a High Volume Instrument (HVI) automatic machine to assess the lint quality. ... -
Effects of ozone fumigation on cotton (Gossypium hirsutum L.) morphology, anatomy, physiology, yield and qualitative characteristics of fibers
(2009)This experiment was conducted to study the effect of high ozone concentrations on two cotton (Gossypium hirsutum L.) cultivars. Two cotton cultivars (Roma nos and Allegria) were exposed to con trol (CF < 4 ppb O(3)) and ... -
Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application
(2011)This work investigates the process of yield prediction in cotton crop production using the soft computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy logic and cognitive map theories, ... -
Introducing Fuzzy Cognitive Maps for decision making in precision agriculture
(2007)A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. It comprises the main advantages of fuzzy logic and neural networks, representing a graphical model that consists of ... -
Investigation of pulsed electromagnetic field as a novel organic pre-sowing method on germination and initial growth stages of cotton
(2012)Two different pre-sowing techniques have been investigated for their influence in an important industrial plant, namely cotton. Priming methods are very useful for agricultural practices because they improve crop seedling ... -
Magnetic field pre-sowing treatment as an organic friendly technique to promote plant growth and chemical elements accumulation in early stages of cotton
(2013)The enhancement of plant growth using an environmental friendly technique is an absolutely desirable step for modern agriculture. This study reports the positive effect of pulsed electromagnetic field in early growth ... -
Monitoring cotton crop evapotranspiration based on satellite data
(2011)The water demand to meet seasonal and long-term water needs in Thessaly, central Greece, is related to historical semi-Arid conditions in the region, which is the main agricultural area of the country. In this paper ... -
Remotely-Sensed innovative approach for the cumulative meteorological effects on cotton production
(2004)In this study an innovative approach for investigating the accumulated meteorological effects on cotton production during the growing season is presented. The quantification of the meteorological effects is based on the ... -
Variable rate application of side-dress nitrogen on cotton in Georgia, USA
(2013)Uniform application of fertilizers is inefficient as it does not consider field variability. During the last decade, variable rate application (VRA) has become increasingly popular. The goal of this study was to asses VRA ...