دانلود رایگان مقاله انگلیسی سیستم پشتیبانی تصمیم گیری فازی برای بهبود بهره وری محصول و استفاده موثر از کود - الزویر 2018

ABSTRACT

This work investigates the process of reducing the fertilizer consumption and improving the crop productivity using the fuzzy logic systems. The system comprises two parts; land report based expert knowledge to stimulate the yield potential through appropriate organic lacking minerals in soil. The system structure consists of 8 parallel systems. The integrated knowledge and formation of fuzzy rules were based on multiple domain cores professionals – water, soil and agronomy with expert farmer interviews. This research work is to improve the productivity with minimum consumption of fertilizer. The study has been carried out to access the fertilizer consumption in both the ACZ(Agro Climatic Zone) with an exhaustive daily filed measurements and lab analysis for a duration of three years to determine exact fertilizer need for every individual lands. The above data was analysed in MATLAB to establish feasibility rules for decision support systems for the crops to get the targeted output.

4. Conclusion

The fuzzy logic system developed in this research as part of the Decision Support System, concentrates on maximizing crop productivity while minimizing fertilizer usage. This study inspects the fuzzy logic based decision making for designing crop cultivation procedures for cultivating horticulture crops, based on the climatic parameters along with soil properties. The real time effects on ground have been examined in this paper and have been found to reflect the literature. The fuzzy rules were defined with in-situ information and further improvised using suggestions from industry experts. The DSS affirms that systems can be developed to maximize crop productivity based on fuzzy logic by carefully considering soil profile, water quality, primary, secondary and micro nutrient availability, seasonal factors and pest incidence. The actual end user of the project is Director Horticulture officer, District Administration through respective soil specialist and agronomist. The proposed system resulted in four times improvement in the BCR in addition to reduction of fertilizer consumption by 8 times. The system is expected to take shape as a handheld device for the farmers in the future with the help of embedded system and VLSI technology.