## 3 Materials and Methods
The implementation of the innovative method will improve the organization of the technological process at the stage of weighing, sampling, assessment of the composition and quality of pollutants, cleaning and drying. The analysis assumes a comparison of the current method of sampling and evaluation in the technological process and the implemented method carried out during the research. Figure 3 shows a block diagram of granular material evaluation technology. Figure 3: Block diagram of granular material evaluation technology [Source: own study]. As part of the project, the profitability of the project was assessed using the EBIT (earnings before deducting interest and taxes) operating profit ratio. The key element was the time of receiving the produce into the warehouse and thus the lost profit when using the traditional method. Figure 3 shows a diagram of the entire process. The assumption for the analysis was that the company is able to work 17 h a day in the working season. On average, based on experience and the analysis of the company's records, it follows that the receipt department accepts around 70 transports (2019 data) with 20 t of grain. The time to perform the task by traditional method is about 15 min. In the case of implementation of the new method, the time is reduced to 3/5 min per transport. The laboratory is able to handle 204 shipments of 20-tons each using the new vision method within the same time. The financial analysis was based on generating income only from the cleaning and separation stage. Shipment of wheat with the contamination of 1.10% of grain value was accepted for analysis. After the analysis at this technological stage, it was found that the traditional method generates the income of 16,324. PLN/day (operating profit), and the vision method 31,248.80. PLN/day (operating profit). (PLN is the official currency and legal tender of Poland). The profitability analysis of the project it is show in Table 2.  
The value was calculated using the following formula:  
1. (+) direct revenue--taxable revenue,
2. (-) tax-deductible costs, and
3. (=) profit (+)/loss (-)--operating profit  
The financial data include purchase and sale prices in 2019. Subsequently, a financial analysis was made based on income generated only from the technological stage of cleaning and separation. Shipment of wheat with the contamination of 1.20% of grain value was accepted for analysis. After analysis at this technological stage, it was found that the traditional method generates the income of PLN 17,808.00. per day (operating profit) and the vision method PLN 51,897.60. per day (operating profit). Based on the operating profit ratio only, the percentage of growth ranges from 91.4% to 191.4%. The entire technological process has also been modernized to avoid bottlenecks:  
- material cleaning,  
- drying  
- handling inside the warehouse. As part of the project, fixed assets were purchased to improve the whole process. \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Type of Network** & **Network** & **Quality of** & **Quality of** & **Quality of** & **Learning** & **Validation** & **Testing** & **Number of** & **Number of** & **Hidden** \\
**Network** & **Diagram** & **Learning** & **Validation** & **Testing** & **Error** & **Error** & **Node** & **Layers** \\ \hline Linear & 1:1-1:1 & 0.969 & 1.007 & 1.001 & 0.283 & 0.179 & 0.708 & 1. & 0 \\ MLP & 1:1-11:1 & 1.151 & 0.99 & 0.99 & 0.340 & 0.142 & 0.790 & 1. & 11 \\ MLP & 1:1-11:1 & 1.293 & 0.97 & 0.99 & 0.378 & 0.141 & 0.775 & 1. & 11 \\ RBF & 1:2-2:3 & 0.678 & 0.565 & 0.825 & 0.106 & 0.047 & 0.266 & 1. & 2 \\ RBF & 1:1-3-1:1 & 0.624 & 0.325 & 0.687 & 0.09 & 0.029 & 0.245 & 1. & 3 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Characteristics of Five Generated Neural Network Models for the Variant of Contamination in Wheat Grain Weight [Own Source].