Assessment of soil fertility index for potato production using integrated Fuzzy and AHP approaches, Northeast of Iran

Abstract

Considering the important role of soil fertility and nutrient management in the modern agriculture seems to be a key step in appropriate site-specific fertilizers management for crop production. The present study was conducted to prepare a soil fertility zonation map based on soil nutrient elements including total nitrogen, available potassium and phosphorus, magnesium, manganese and iron and soil chemical parameters comprising cation exchange capacity, organic carbon, salinity and pH by integrated Fuzzy and AHP approaches for potato production in Rokh plain, northeast of Iran. In this regard the most important soil chemical parameters and nutrient elements in 0-30 cm depth of the soil was analyzed and mapped. The S-shaped fuzzy membership function was subsequently defined for each factor to fuzzify soil fertility parameters. The soil fertility map was prepared by weighing factor layers by the AHP approach and summation of factor layers by IDW interpolation function in GIS. The values of the soil fertility index in the scale of 0 to 1 ranged from 0.104 to 0.574, classified the study area in very low (922.90 km 2), low (566.10 km 2) and moderate fertility (14.86 km 2) classes which comprises 61.37%, 37.64% and 0.99% of the surface area, respectively. A regression between soil fertility values and potato yield in the study area revealed a high correlation (R 2 = 0.91) between the observed results which validate the zonation of the fertility classes in the region.

Tracking Changes in Soil Fertility at North Nile Delta, Egypt Using GIS Techniques

“…(13B). The soil fertility index current of the study area classified to Fair-C3 (80.49 km2), Poor-C4 (470.90 km2), Very poor-C5 (57.84 km2) and Non agriculture-C6 (65.77 km2) classes which comprises 11.93 %, 69.76 %, 8.57 and 9.74 % of the surface area, respectively as shown in Table (7) (Bagherzadeh et al, 2018). This change in soil fertility comparative with the previous has resulted in a change fertility area.…”

“…Soil fertility map depend on spatial distribution of nutrient elements in soil such as total-N, available-PK , Mg, I and Mn and soil chemical properties (e.g. exchange cations, salinity, OC, and pH (Bagherzadeh et al , 2018).…”

The Assessment of Soil Fertility Index for Evaluation of Rice Production in Karanganyar Regency

“…It is important because the evaluation of soil fertility can be used as a reference tool or guideline for the management of nutrients in the soil sustainably with regard to environmental aspects (Khadka et al, 2017). Assessment of Soil Fertility Index can help identify areas of problem or need appropriate special management (Bagherzadeh et al, 2018). Soil Fertility Assessment can provide information to estimate specific indicators of soil fertility to obtain the value of the soil fertility index that can be used to make a recommendation of soil fertility Management (Andrews, 2004;Khaki et al, 2017).…”

Soil Fertility Index on Various Rice Field Management Systems in Central Java, Indonesia

“…Soil Organic Carbon (SOC) is closely correlated with available K. This is in line with Ispandi and Munip (2004) statement that organic matter can affect the availability of K + , Ca 2+ and Mg 2+ . Soil organic carbon with pH shows a positive value and there is a very strong correlation according to Ann et al (2017) that pH can affect the rate of decomposition of organic matter, minerals and clay mineral formation. pH was also closely correlated with available P (r = 0.479) and available K (r = 0.587).…”