under aerobic and anaerobic conditions.). Graphical plots were also used for model comparison. under aerobic and anaerobic conditions
To analyze the crop yield there is need to estimate the crop production. However, it is challenging ...
In this study, an adaptive neuro-fuzzy inference system (ANFIS) was developed to predict potato prod...
Agri-food is one of the most important sectors of the industry and a major contributor to the global...
BACKGROUND: An adaptive-network-based fuzzy inference system (ANFIS) was compared with an artificial...
Fungal growth leads to spoilage of food and animal feeds and to formation of mycotoxins and potentia...
[[abstract]]本論文在探討腸膜明串珠菌在有氧和厭氧條件下，有溫度（10.5?24.5℃），pH值（5.5?7.5），氯化鈉（0.25％至6.25％）和亞硝酸鈉（0至200 ppm）等四個變數...
The estimation of biomass production of d-endotoxins of the Bacillus thuringiensis (Bt) is a major p...
Many techniques have been used in classification of bacterial growth-non-growth database are network...
: Biological processes are among the most challenging to predict and control. It has been recognised...
<p>The adaptive network-based fuzzy inference system was trained using 30 sets of experimental data ...
Facing the serious concern of global food security, this study focuses on the feasibility of improve...
An e-monitoring system was established and modeled by object-oriented methodology for prediction of ...
The artificial neural network (ANN) method was used in comparison with the adaptive neuro-fuzzy infe...
Crop growth is greatly affected by light intensity, temperature and CO2 concentration. The combinati...
Food security is a problem that every country had, especially for poor and developing countries. To ...
To analyze the crop yield there is need to estimate the crop production. However, it is challenging ...
In this study, an adaptive neuro-fuzzy inference system (ANFIS) was developed to predict potato prod...
Agri-food is one of the most important sectors of the industry and a major contributor to the global...
BACKGROUND: An adaptive-network-based fuzzy inference system (ANFIS) was compared with an artificial...
Fungal growth leads to spoilage of food and animal feeds and to formation of mycotoxins and potentia...
[[abstract]]本論文在探討腸膜明串珠菌在有氧和厭氧條件下，有溫度（10.5?24.5℃），pH值（5.5?7.5），氯化鈉（0.25％至6.25％）和亞硝酸鈉（0至200 ppm）等四個變數...
The estimation of biomass production of d-endotoxins of the Bacillus thuringiensis (Bt) is a major p...
Many techniques have been used in classification of bacterial growth-non-growth database are network...
: Biological processes are among the most challenging to predict and control. It has been recognised...
<p>The adaptive network-based fuzzy inference system was trained using 30 sets of experimental data ...
Facing the serious concern of global food security, this study focuses on the feasibility of improve...
An e-monitoring system was established and modeled by object-oriented methodology for prediction of ...
The artificial neural network (ANN) method was used in comparison with the adaptive neuro-fuzzy infe...
Crop growth is greatly affected by light intensity, temperature and CO2 concentration. The combinati...
Food security is a problem that every country had, especially for poor and developing countries. To ...
To analyze the crop yield there is need to estimate the crop production. However, it is challenging ...
In this study, an adaptive neuro-fuzzy inference system (ANFIS) was developed to predict potato prod...
Agri-food is one of the most important sectors of the industry and a major contributor to the global...
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