Claim Missing Document
Check
Articles

Found 2 Documents
Search

Pola Sebaran Populasi Azotobacter sp dan Bahan Organik pada Berbagai Kelas Kemiringan Lereng Perkebunan Teh Dataran Tinggi PPTK Gambung (Population Distribution Pattern of Azotobacter sp and Organic Material on Variety Slope Classification of Tea Highland Eko PRANOTO; Sulistiawati PRATIWI; Hani WACHYUNI; Sastrika ANINDITA
Biospecies Vol. 8 No. 1 (2015): Januari 2015
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/biospecies.v8i1.2201

Abstract

The purpose of this experiment was to identified the population distribution of Azotobacter sp and organic matter on variety slope classification at experimental field, PPTK Gambung, West Java. The methode that used was exploration method. PPTK Gambung’s tea plantation has three class of slope, they are slope of <8% (flat-rather slope slighty), 8-15% (slope slighty), and 16-25% (rather steep). Total 14 composite soil sample taken from each of the class to analyze total population of Azotobacter sp, average of organic matter soil content, and water content average. Sample was taken based on sample point in Land Unit Map (SPL). Slopes <8% (flat-rather slope slighty) have total population of Azotobacter sp around 7,14x107 cfu/gram soil, water content 5,97%, and organic matter 10,68%. Slopes 8-15% (slope slighty) have total population of Azotobacter sp around 10,38x107 cfu/gram soil, water content 6,47%, and organic matter 10,91%. And slopes 16-25% (rather steep) have total population of Azotobacter sp around 11,75x107 cfu/gram soil, water content 6,34%, and organic matter 10,65%.
Sensitivitas Metode Thresholding Terhadap Apparent Leaf Area Index Downward-Looking Digital Cover Photography Pada Kanopi Jagung Manis Muhammad Hifzan Silmi; Najwa Robaniyah Firdaus; Addawyah Wahidah; Salsabillah Salsabillah; Aditya Nurhidayat; Kania Aliya Putri Zahrani; Muhammad Amir Sholihin; Sastrika Anindita
Daun: Jurnal Ilmiah Pertanian dan Kehutanan Vol. 13 No. 1 (2026): Daun: Jurnal Ilmiah Pertanian dan Kehutanan
Publisher : ​Institute for Researches and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/daun.v13i1.13157

Abstract

Leaf Area Index (LAI) is an important parameter for describing crop canopy conditions, but LAI estimation based on downward-looking Digital Cover Photography (DCP) strongly depends on the successful segmentation of vegetation and non-vegetation pixels. This study aimed to evaluate the sensitivity of seven thresholding methods, namely Otsu, Yen, Li, Triangle, Isodata, Mean, and Minimum, to Apparent LAI in sweet corn canopy. RGB images that passed quality control were converted into the CIE Lab* color space; subsequently, the a* channel was transformed and inverted before segmentation. Apparent LAI values were calculated using a gap fraction approach, the Beer-Lambert formulation, a 7 x 7 grid subdivision, and clumping index correction. The results showed that Otsu, Li, Isodata, and Mean were the most stable methods because they had complete sample numbers and data distributions that met the normality assumption. In contrast, Yen and Triangle produced extreme values, whereas Minimum showed processing limitations with only 80 valid data points. The sensitivity analysis showed that the moderate scenario had lower variation than the extreme and complete scenarios. The RM ANOVA results showed significant differences among the stable methods, with F = 345.4141, p-GG = 0.0000, and ng^2 = 0.43902. Post hoc testing showed that Li and Isodata were not significantly different, whereas the other method pairs differed significantly. These findings confirm that the choice of thresholding method strongly determines Apparent LAI estimation, with Li and Isodata as the most consistent methods, Otsu as a moderate comparator, Mean as a conservative method, and Yen, Triangle, and Minimum as diagnostic methods.