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All Journal JTSL (Jurnal Tanah dan Sumberdaya Lahan)

Mochtar Lutfi Rayes

Brawijaya University

Author-ID : 5688500

Agriculture, Biological Sciences & Forestry Environmental Science

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PEMETAAN KUALITAS TANAH PADA LAHAN SAWAH DI KECAMATAN TUREN KABUPATEN MALANG Christanti Agustina; Mochtar Lutfi Rayes; Evi Rosidha
Jurnal Tanah dan Sumberdaya Lahan Vol. 7 No. 2 (2020)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Rice field management affects the physical, chemical and biological characteristics of the soil, as well as crop productivity. Efforts are needed to maintain soil conditions by measuring the soil quality index. The purpose of this study was to determine the characteristics of the soil as a reference pattern of soil quality distribution. This research was conducted in July - November 2019 in Turen District, Malang, using a free survey method based on the Land Map Unit. Soil samples were taken at a depth of 0-20 cm at each observation (24 points) and analyzed in the laboratory. The soil quality index was calculated according to limiting factors and scores relative to 10 soil quality indicators. Soil quality classes are grouped into 5 classes, i.e. (i) very good (<20), (ii) good (20-25), (iii) moderate (25-30), (iv) bad (30-40) and (v) very bad (> 40). The results showed that the soil in irrigated and rainfed rice fields had different limiting factor values in the levels of available-P, total-N, soil organic-C and microbial biomass-C which caused differences in soil quality. Crop productivity on the land showed differences based on land suitability classes resulting in S1 and S2 classes

PEMANFAATAN INDEKS VEGETASI UNTUK ESTIMASI KANDUNGAN KALIUM PADA TANAMAN NANAS (Ananas comosus) MENGGUNAKAN UAV (Unmanned Aerial Vehicle) DI PT. GREAT GIANT PINEAPPLE, LAMPUNG Dita Khairunnisa; Mochtar Lutfi Rayes; Christanti Agustina
Jurnal Tanah dan Sumberdaya Lahan Vol. 8 No. 1 (2021)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

PT Great Giant Pineapple (PT. GGP) is the largest pineapple production company in Indonesia. One of the nutrients that pineapple plants really need is potassium (K). K plays a key role in carbohydrate metabolism and transport of photosynthates from source to sink. Remote sensing technology has been developed to estimate nutrient status, one of which is using an Unmanned Aerial Vehicle (UAV). This study aims to estimate the K nutrient content in pineapple plants using vegetation indexes in the form of NDVI (Normalyzed Difference Vegetation Index), SAVI (Soil Adjusted Vegetation Index), and OSAVI (Optimized of Soil Adjusted Vegetation Index). The research was carried out by taking aerial photographs and samples of pineapple plants in the 5 months phase before forcing up to 2 months after forcing (F-5 to F + 2), laboratory analysis, statistical analysis, and making distribution maps. The results showed that the relationship between the vegetation index value and K plant was the strongest and most significant is in 1 month before forcing phase (F-1) with the same r value for the three indices vegetation (r=0.867). The results of the regression analysis between the NDVI, SAVI and OSAVI values with K plant were 75.17%, 75.18% and 75.17%, respectively. The calculation of the K estimate using three methods yields no different values. The validation results using paired t test (t count -0.63; t table 2.31; p-value 0.544) where the K content in the measured plants and the estimation results showed no significant difference with the measurement results.

Co-Authors Christanti Agustina Dita Khairunnisa Evi Rosidha

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