Agricultural areas in Nanglae Sub-district is the main agricultural area of Mueang
District, Chiang Rai Province that required soil monitoring on current utilised agricultural areas
for sustainable agricultural management. Geoinformatics integrated with soil quality can be
used for categorizing soil quality on different agricultural classes. Firstly, Thaichote satellite
imageries were used to digitally classify the agricultural area into three agricultural classes,
namely paddy fields, field crops (pineapple) and orchards (lychee / longan / lemon / pomelo).
Secondly, 9 collected soil samples from the agricultural areas, and physic-chemical properties
and arsenic content were reported. The results of image processing, total accuracy of
agricultural mapping based on minimum distance classifier that was 22.22% with K statistic of
-0.15. This map was used to support soil quality analysis. The soil sample of different
agricultural areas was slightly acid (pH 5.93-6.93). Organic matter content of these soils was
low (0.13-2.07%). These soils had low total nitrogen (1,200-2,800 mg/kg). The available
phosphorus and potassium were very low to low ranged from 1.86-5.94 mg/kg and 0-78.00
mg/kg, respectively. These soils were low soil fertility status, which indicated that physicochemical
properties were not suitable for crop cultivation. Interestingly, soil samples from
paddy fields and orchard fields, near the reserved forest area (Doi Nang Lae, Doi Yao and Doi
Prabhat reserved forest), were contaminated with high arsenic content (4.50-6.32 mg/kg), which
was higher than the standard of National Environment Board of Thailand.
Keywords
Geoinformatics, Soil quality, Chiang Rai Province
INTERNATIONAL JOURNAL OF AGRICULTURAL TECHNOLOGY
Published by : Association of Agricultural Technology in Southeast Asia (AATSEA) Contributions welcome at : http://www.ijat-aatsea.com
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