scholarly journals Integrated Multi-criteria Land Suitability Evaluation and Mapping for Scaling Malt Barley Varieties in Rain-Fed Production Areas of Ethiopia

2020 ◽  
Vol 12 (11) ◽  
pp. 123
Author(s):  
Adamu Molla ◽  
Demeke Nigussie ◽  
Zewdie Bishaw ◽  
Wondafrash Mulugeta ◽  
Chandrashekhar Biradar
Keyword(s):  
Relevant Information ◽  
Land Suitability ◽  
Future Research ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
Model Builder ◽  
Growing Period ◽  
Early Maturing ◽  
Malt Barley ◽  
Suitable Land

Information on variety specific land suitability analysis was not available in Ethiopia. Therefore, integrated multi-criteria land suitability analysis and mapping for contrasting malt barley varieties was carried out to identify where and how much potentially suitable land exists in the country. The main factors considered for analysis include rainfall and temperature during the growing period, length of growing period, digital elevation models, (altitude and slope data) and soil characteristics (types, pH, depth, texture and drainage). The malt barley varieties included are late maturing Bekoji-1, EH1847 and Holker; and early maturing Grace, IBON 174/03 and Sabini. For classification of the data layers according to the degree of suitability for each variety, various reports and other relevant information were reviewed and used in defining the limits of the suitability ranges of malt barley varieties. The overall suitability was computed by multiplying the selected criteria weight by the assigned sub-criteria score and summing these values in the ArcGIS Model Builder. The analysis showing the extent and patterns of suitable land area available for the selected malt barley varieties are presented in the form of tabular data and maps. Highly suitable areas for these varieties include: 125,332 ha for Bekoji-1; 124,004 ha for EH1847; 775,312 ha for Grace; 125,356 ha for Holker; 1,677,388 ha for IBON 174/03; and 307,952 ha for Sabini. The results suggest that current improved malt barley varieties can be targeted for scaling out in the identified land suitability classes in the highlands of Ethiopia. Results also suggest that future research and development works should give priority for developing early maturing, acidic and waterlogging soil tolerant malt barley varieties. The results can be useful for policy and decision making to ensure land resources are used in the most productive and sustainable ways and solve the mismatches between current land use and land suitability for malt barley varieties in the country.

scholarly journals Analisis Kesesuaian Lahan untuk Pengembangan Tanaman Sere Wangi di Kabupaten Gayo Lues

2020 ◽  
Vol 4 (1) ◽  
pp. 655-663
Author(s):  
Mulyana Mulyana ◽  
Manfarizah Manfarizah ◽  
Abubakar Karim
Keyword(s):  
Essential Oil ◽  
Land Suitability ◽  
Market Demand ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
Area Function ◽  
Survey Techniques ◽  
Suitable Land

Abstrak. Tanaman sere wangi merupakan salah satu  komoditas unggulan Kabupaten Gayo Lues yang kian marak dikembangkan karena semakin tingginya permintaan pasar akan minyak atsiri dari sere wangi, sehingga para petani dewasa ini mulai mengembangkan usaha sere wanginya dengan kurang memperhatikan lahan-lahan yang sesuai untuk dikembangkan tanaman sere wangi, seperti yang terjadi di Kecamatan Pining, Kecamatan Terangun dan Kecamatan Tripe Jaya. Penelitian ini bertujuan untuk menganalisis luas dan sebaran lahan sere wangi eksisting, serta luas dan sebaran lahan berdasarkan kelas kesesuaian lahan baik yang sudah ditanami sere wangi maupun lahan baru yang sesuai untuk pengembangan tanaman sere wangi. Penelitian ini dilakukan dengan metode deskriptif dengan teknik survai. Hasil analisis menunjukkan bahwa luas lahan sere wangi eksisting pada ketiga kecamatan tersebut adalah seluas 4.365,61 ha kelas kesesuaian lahan yang berpotensi dikembangkan tanaman sere wangi berdasarkan fungsi kawasan dan ketinggian tempat adalah seluas 38.319,91 ha dengan kelas kesesuaian cukup sesuai (S2) seluas 24.550,69 ha (64,07 %) dan kelas sesuai marginal (S3) seluas 13.769,92 ha (35,93 %).Land Suitability Analysis to Expand Citronella Planst in Gayo Lues RegencyAbstract. Citronella plant is one of Gayo Lues Regency’s leading commodity which is excessively to be developed due the increase of market demand for citronella’s essential oil, so tahat many farmers are beginning to develop their citronella farming with less consider about the suitable land for develop it, such as happen in Pining, Terangun, and Tripe Jaya Sub-districts. This research aims to analyze the extent and distribution of existing citronella land, as well as the extent and distribution of land based on it’s suitability classes that have been planted with citronella and another new land which is suitable to develop citronella plants. This research was conducted by using descriptive methods with survey techniques. The results of the analysis showed that the existing land of citronella plant is covering 4.365,61 ha of those sub-districts and land suitability class that potential to develop citronella plants based on the area function and it’s altitude is 38.319,91 ha with moderately suitable class (S2) who are covering  24.550,69 ha (64,07 %) and marginal suitable class (S3) who are covering 13.769,92 ha (35,93 %).

scholarly journals Agroforestry land suitability analysis in the Eastern Indian Himalayan region

2021 ◽  
pp. 100199
Author(s):  
Arun Jyoti Nath ◽  
Rakesh Kumar ◽  
N. Bijayalaxmi Devi ◽  
Pebam Rocky ◽  
Krishna Giri ◽  
...  
Keyword(s):  
Land Suitability ◽  
Himalayan Region ◽  
Suitability Analysis ◽  
Indian Himalayan Region ◽  
Land Suitability Analysis

scholarly journals Kajian Kesesuaian Lahan Perkebunan Kopi Rakyat Kawasan Lereng Gunung Arjuna Kabupaten Malang

2020 ◽  
Vol 4 (2) ◽  
pp. 108
Author(s):  
Dimas Prakoswo Widayani ◽  
Kresna Shifa Usodri
Keyword(s):  
Temperature Data ◽  
Land Suitability ◽  
Maximum Temperature ◽  
Cultivated Plants ◽  
Survey Method ◽  
Mountainous Area ◽  
Suitability Analysis ◽  
Arabica Coffee ◽  
Land Suitability Analysis ◽  
Coffee Plants

Mount Arjuna is a mountainous area with forests and several cultivated plants located in Malang Regency, East Java. The forest is a complex area that is used as a protected area, research and production forest for agricultural commodities. The complex is located in the forest resulted in highly varied environmental conditions. The forest consists of several areas, namely protected forest, production forest, coffee plantation, and seasonal plantations. The Arjuna mountain area has several stands including pine and mahogany, but most of it is filled with pines by 90% and mahogany trees around 10%. Most of the coffee plants found in the Arjuna mountain forest area are Arabica coffee, while the rest is robusta coffee. This research was conducted on the slopes of Mount Arjuna, located in Sumbersari Village, Karangploso District, Malang Regency, East Java. This research was conducted from July to October 2017. This research employed a survey method by taking several sample points that represent the coffee plants in the area. Several sampling plots for land suitability analysis were identified in the area: The observation stages were carried out by taking air temperature data using a thermohygrometer by taking the minimum and maximum temperature data, taking air humidity using a thermohigrometer as well as minimum and maximum data and light intensity data using lux meters, taking soil samples to measure nutrients and soil fertility, and measuring the height and slope of the land. The results of the observations that have been made will be analyzed using the land suitability analysis method, by adjusting the area's data with the land suitability level for robusta and arabica coffee plants.Gunung Arjuna merupakan kawasan pegunungan dengan hutan serta beberapa tanaman budidaya yang terletak di Kabupaten Malang, Jawa Timur. Hutan tersebut merupakan kawasan kompleks yang dimanfaatkan sebagai kawasan lindung, riset dan juga hutan produksi untuk komoditas pertanian. Kondisi hutan yang kompleks mengakibatkan kondisi lingkungan tersebut sangat bervariatif. Hutan terdiri dari beberapa kawasanya, yaitu hutan lindung, hutan produksi, perkebunan kopi serta kawasan tanaman semusim. Kawasan gunung Arjuna memiliki beberapa tegakan diantaranya pinus dan mahoni namun sebagian besar dipenuhi oleh pinus sebesar 90% dan pohon mahoni berkisar 10%. Sebagian besar tanaman kopi yang terdapat pada kawasan hutan gunung Arjuna adalah jenis kopi arabika sedangkan sisanya adalah kopi robusta. Penelitian ini dilakukan di kawasan lereng Gunung Arjuna, Terletak di Desa Sumbersari, Kecamatan Karangploso, Kabupaten Malang, Jawa Timur. Penelitian ini akan dilaksanakan pada bulan Juli–Oktober 2017. Penelitian ini menggunakan metode survei dengan mengambil beberapa titik sampel yang mewakili yang mewakili tanaman kopi di kawasan tesebut. Beberapa plot sampel pengambilan sampel untuk analisis kesesuaian lahan diidentifikasi pada kawasan: Adapun tahapan pengamatan yang dilakukanya itu pengambilan data suhu udara menggunakan termohigrometer dengan mengambil data suhu minimum dan maksimum, pengambilan kelembapan udara dengan alat termohigrometer juga data minimum dan maksimum serta data intensitas cahaya menggunakan lux meter, pengambilan sampel tanah untuk mengukur hara serta kesuburan tanah, mengukur ketinggian serta tingkat kelerengan lahan. Hasil pengamatan yang telah dilakukan akan dianalisis menggunakan metode analisis kesesuaian lahan, dengan menyesuaikan data kawasan tersebut dengan tingkat kesesuaian lahan untuk tanaman kopi robusta dan arabika.

Multi-criteria Land Suitability Analysis for Agriculture in Semi-Arid Region of Kadapa District, Southern India: Geospatial Approaches

2021 ◽  
Vol 5 (2) ◽  
pp. 59-72
Author(s):  
Rajasekhar M. ◽  
Sudarsana Raju G. ◽  
Nanabhau Kudnar ◽  
Ramachandra M. ◽  
Pradeep Kumar B.
Keyword(s):  
Agricultural Land ◽  
Pairwise Comparison ◽  
Land Suitability ◽  
Suitability Analysis ◽  
Environmental Pressures ◽  
Land Suitability Analysis ◽  
Agricultural Efficiency ◽  
Integrated Methodology ◽  
Low Efficiency ◽  
Semi Arid Region

This research proposes an integrated methodology for incorporating RS, GIS and AHP techniques for the assessment of agricultural land suitability. In Kadapa district, Andhra Pradesh, India, study is being done on how to best promote agriculture as a source of income to boost the economy of the region. A combined RS, GIS and AHP techniques has been utilized that incorporates organizing AHP hierarchy, criteria specification, pairwise comparison, and criterion map preparation. Land suitability comparison showed that an area of 4.42 km2 (2.62%) is appropriate for irrigation, while an area of 54.39 km2 (32.33%) is appropriate moderately suitable for rainfed agriculture and 95.76 km2 (56.93%) is marginally suitable for agricultural productions. About 13.64 km2 (8.11%) land is currently not suitable for agricultural production. Additionally, the analysis clearly shows the necessity of a decrease in irrigated agricultural land and an increase in dry farm agricultural land. This application of RS, GIS and AHP based agricultural land suitability analysis is helpful in referring agricultural activities to the areas with good physical and environmental conditions, allowing maximum agricultural efficiency in the countryside, increasing non-agricultural uses in areas with low efficiency, and avoiding the construction and environmental pressures on suitable farmland.

scholarly journals Change Detection and Land Suitability Analysis for Extension of Potential Forest Areas in Indonesia Using Satellite Remote Sensing and GIS

Forests ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 398 ◽  
Author(s):  
Nety Nurda ◽  
Ryozo Noguchi ◽  
Tofael Ahamed
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Satellite Remote Sensing ◽  
Land Suitability ◽  
Landsat 8 ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
Expert Opinions ◽  
Detection Analysis ◽  
The Government

The objective of this research was to detect changes in forest areas and, subsequently, the potential forest area that can be extended in the South Sumatra province of Indonesia, according to the Indonesian forest resilience classification zones. At first, multispectral satellite remote sensing datasets from Landsat 7 ETM+ and Landsat 8 OLI were classified into four classes, namely urban, vegetation, forest and waterbody to develop Land Use/Land Cover (LULC) maps for the year 2003 and 2018. Secondly, criteria, namely distance from rivers, distance from roads, elevation, LULC and settlements were selected and the reclassified maps were produced from each of the criteria for the land suitability analysis for forest extension. Thirdly, the Analytical Hierarchy Process (AHP) was incorporated to add expert opinions to prioritize the criteria referring to potential areas for forest extension. In the change detection analysis, Tourism Recreation Forest (TRF), Convertible Protection Forest (CPF) and Permanent Production Forest (PPF) forest zones had a decrease of 20%, 13% and 40% in area, respectively, in the forest class from 2003 to 2018. The Limited Production Forest (LPF) zone had large changes and decreased by 72% according to the LULC map. In the AHP method, the influential criteria had higher weights and ranked as settlements, elevation, distance from roads and distance from rivers. CPF, PPF and LPF have an opportunity for extension in the highly suitable classification (30%) and moderately suitable classification (41%) areas, to increase coverage of production forests. Wildlife Reserve Forests (WRFs) have potential for expansion in the highly suitable classification (30%) and moderately suitable classification (52%) areas, to keep biodiversity and ecosystems for wildlife resources. Nature Reserve Forests (NRFs) have an opportunity for extension in the highly suitable classification (39%) and moderately suitable classification (48%) areas, to keep the forests for nature and biodiversity. In case of TRF, there is limited scope to propose a further extension and is required to be managed with collaboration between the government and the community.

scholarly journals Increasing Sugar Production in Indonesia Through Land Suitability Analysis and Sugar Mill Restructuring

Land ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 61 ◽  
Author(s):  
Andi Amran Sulaiman ◽  
Yiyi Sulaeman ◽  
Novia Mustikasari ◽  
Dedi Nursyamsi ◽  
Andi Muhammad Syakir
Keyword(s):  
Agricultural Land ◽  
Arable Land ◽  
World Market ◽  
Land Suitability ◽  
Sugar Production ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
The World ◽  
Sugar Mills ◽  
Sugarcane Productivity

Indonesia is the fourth most populated country in the world with an annual population growth rate of 1.3%. This growth is accompanied by an increase in sugar consumption, which is occurring at an annual rate of 4.3%. The huge demand for sugar has created a large gap between sugar production and demand. Indonesia became the world’s largest sugar importer in 2017–2018. Sugarcane farmers have an important role in sugar production. They are facing problems with declining sugarcane productivity and arable land decreasing. We aimed to understand the sugar production issue in Indonesia and to examine options to increase sugar production. To achieve these aims, a framework consisting of four steps was developed: Analysis of the current situation; problems identification; resolution; and delivering programs; and strategies. The main problems in sugar production in Indonesia were identified, including a stagnation in sugarcane harvest area, low sugarcane productivity, lack of good varieties, and inefficient sugar mills. Based on the identified problems, strategies to increase production were created. Two approaches need to be executed simultaneously: An increase in sugarcane planting area, and an increase in productivity and sugar yield. The first approach in increasing sugar production is the exploration of new sugarcane planting areas outside of Java both on existing agricultural land and in new areas. A land suitability analysis for the whole country was conducted based on a semi-detailed soil map. The main priority for development was the existing agricultural area via an integration system or existing crop exchange. The second approach is restructuring sugar factories through the revitalization of existing sugar mills and investment in the construction of new mills. The challenges that need to be addressed include land availability, provision of high-yielding varieties, and improving the efficiency of sugar mills. General strategies and medium-term programs are presented and discussed. These efforts, if well-executed, will boost Indonesia’s sugar production to meet its domestic demand by 2025, achieving competitiveness in the world market by 2045.

Sign in / Sign up

Export Citation Format

Share Document