Table 1 - uploaded by Rajendra Shrestha
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A study was conducted in Tri Ton district of Mekong delta in Southern Vietnam to examine the sustainability of the agricultural production system. The major objective of the study was to examine the misuse of land and suggest appropriate land-use alternatives. The data used were both spatial and socioeconomic collected through household survey. Lan...
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... the crops assessed, no highly suitable class was found in the area. In Table 1, Majority of the area was found moderately suitable, ranging between 55.7 (cassava) to 86.5 percent (upland crops). About 2.4 (upland crops) to 34.2 percent (cassava) of the area fell in the marginally suitable category, and another one-tenth in not suitable category in case of all the crops. ...
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Citations
... Wealthier households or those with more livestock tended to use less forest and pastureland, respectively [82], suggesting that they undervalued the in-situ benefits of forests and preferred larger livestock herds in distant wild grazing areas [83,84]. Market and main road proximity increased the use of pasture, fallow land, and other land uses, indicating that market access and infrastructure availability influenced land use choices by creating opportunities for off-farm activities and livestock production [75]. ...
This study examined land use land cover change and its determinants in Tigray, Ethiopia and its livelihood zones. We used socioeconomic panel, and satellite data, and applied a mixed-effects model to analyse the factors influencing land allocation among different uses, and transition matrix to analyse land cover dynamics. The results revealed that; land use choices were influenced by plot level factors (such as plot elevation, distance, soil type and quality, and land tenure), household characteristics (such as education, dependency ratio, plot size and number owned, income, livestock and asset, perception of climate change, and access to market and main road), and community level factors (precipitation, product price, population density and livelihood zone variations). Transition matrix analysis showed that between 1986 and 2016, 12.8% of forest was converted to bare land, 6.26% bare land was converted to pasture, and 5.84% of cropland was converted to forest. However, net deforestation occurred in most of the livelihood zones. Therefore, local communities faced environmental and socio-economic challenges from capital constraints induced land fallowing, land fragmentation, and unmanaged land cover change. The study recommended sustainable land use planning and management, market linkages, improved access to roads, forestry subsidies, land tenure security, and land consolidation programs.
... Regarding the availability of information maps, the application of geographic information systems (GIS) called Q-GIS 3.4 is also used to supplement databases in spatial format. In addition to facilitating, improving, storing, and displaying data, the application can also be used to update data and utilization in the future (Eswaran et al. 1992;Goodchildet al. 1992;Bhermana et al. 2002;Son and Rajendra 2008). As part of the GIS, a basic reconnaissance-scale land system map of land systems is also used to identify land suitability for each local rice plant genetic resources (PGR) in accordance with its habitat. ...
The extensive application of information technology in all
supply chain activities will change the way of doing
business. Those changes break the existing path and start a
new era in industry, i.e. 4.0 industrial eras or the Fourth
Industrial Revolution. Agriculture, as an industry, also enters this
new era. By agriculture we means the process of harvesting solar
energy through plant and transform it into product such as seeds,
fruits, fibres or other products which might be developed further
by animals. Millions of plant species found on earth and within
plant species are a huge variation of genotypes or in many cases
of group genotypes with similar phenotypic expression often
called as cultivars, if it has been domesticated. This huge
variation of plants will create big volume of data if they should
be recorded and arrive in increasing velocity which often called
as big data.
... In information based on passport data, specifically for local rice, data is divided into local rice data specific to swamps and dryland, as shown in Table 1 and Table 2. Regarding the availability of information maps, the application of geographic information systems (GIS) called Q-GIS 3.4 is also used to supplement databases in spatial format. In addition to facilitating, improving, storing, and displaying data, the application can also be used to update data and utilization in the future (Eswaran et al. 1992;Goodchildet al. 1992;Bhermana et al. 2002;Son and Rajendra 2008). As part of the GIS, a basic reconnaissance-scale land system map of land systems is also used to identify land suitability for each local rice plant genetic resources (PGR) in accordance with its habitat. ...
Upgrading the current database system of the PhilRice Genebank is inevitable to
optimize its use in support to rice conservation and management. The old
Germplasm Management System (GEMS) was revamped using a cross-platform
relational database - FileMaker Pro12 Advanced with improvements on user
interface, layout design, scripts, and security. The new GEMS v2.0, a stand-alone
database focused for internal use in the genebank operations, was developed through
redesigning the whole system architecture in synchronization with the current
documentation needs of the genebank. Three significant improvement of the system
were made: i) data validation and automation, ii) barcoding technology, and iii)
Digital Object Identifier (DOI) registration. The new system delivers significant
impact on genebank’s operational efficiency and consequently provides accurate,
up-to-date, and quality information to breeders, researchers and other stakeholders
... In information based on passport data, specifically for local rice, data is divided into local rice data specific to swamps and dryland, as shown in Table 1 and Table 2. Regarding the availability of information maps, the application of geographic information systems (GIS) called Q-GIS 3.4 is also used to supplement databases in spatial format. In addition to facilitating, improving, storing, and displaying data, the application can also be used to update data and utilization in the future (Eswaran et al. 1992;Goodchildet al. 1992;Bhermana et al. 2002;Son and Rajendra 2008). As part of the GIS, a basic reconnaissance-scale land system map of land systems is also used to identify land suitability for each local rice plant genetic resources (PGR) in accordance with its habitat. ...
This book contains several articles with various topics. Some articles have been presented at the conference on “Boosting Big Data of Plants with Digital Identifiers” held in Bali, Indonesia, June 11-13, 2019, and some others are purposively written for this book. The main articles are on the use of DOI as a permanent unique identifier on PGR; however, some papers presented at the conference also include papers on Intellectual Property Rights (IPR) related to PGR and gene bank management. To give the reader a broad overview of the big data of plant, two articles on the fourth agriculture revolution and Global Information System (GLIS) on PGR are introduced in chapter 1. Chapter 2 reviewed the rights, conservation, and use of PGR.
... Regarding the availability of information maps, the application of geographic information systems (GIS) called Q-GIS 3.4 is also used to supplement databases in spatial format. In addition to facilitating, improving, storing, and displaying data, the application can also be used to update data and utilization in the future (Eswaran et al. 1992;Goodchildet al. 1992;Bhermana et al. 2002;Son and Rajendra 2008). As part of the GIS, a basic reconnaissance-scale land system map of land systems is also used to identify land suitability for each local rice plant genetic resources (PGR) in accordance with its habitat. ...
Significant research findings have been achieved in the area of information technologies concerning the utilization of plant genetic resources (PGR). Many progresses of big data produced from biological computation, omics and relevant management of the PGR have been reported. Despite the numerous contributions, there still exists a lack of representative information of the resulted big data of PGR along with digital object identifiers (DOI). This book contains several articles with various topics. Some articles have been presented at the conference on "Boosting Big Data of Plants with Digital Identifiers” held in Bali, Indonesia, June 11-13, 2019, and some others are purposively written for this book. The main articles are on the use of DOI as permanent unique identifier on PGR; however, some papers presented at the conference also include papers on Intellectual Property Rights (IPR) related to PGR and gene bank management. To give the reader a broad overview on the big data of plant, two articles on the fourth agriculture revolution and Global Information System (GLIS) on PGR are introduced in chapter 1. Chapter 2 reviewed the rights, conservation and use of PGR. The purpose of this book and the conference is to introduce to the scientific community, in particular agricultural scientist, the use of DOI as permanent unique identifier for plant geneticresources for food and agriculture (PGRFA); since agricultural scientist is one of the primary beneficiaries of the use of DOI on PGRFA. The assignation of DOI on PGR will trigger improvement in crops information system and facilitate the appropriate and quality-controlled sharing of information of the PGRFA data. The adoption of unique identifier will further empower genomic and phenomic researches, functional gene discovery and increase the efficiency and effectivity of plant breeding program, which, ultimately increase the capacity to adapt to the climate change and food security.
... Land evaluation is the estimation of the possible behavior of the land (actual or potential) when used for a particular purpose (FAO, 1983). The FAO Framework for Land Evaluation (1976), which aims to determine land suitability for Land Utilization Types (LUTs) has been quite popular in the last decades (Verdoodt and van Ranst, 2003;FAO, 2007;Son et al., 2008). FAO approach is based on matching land and LUTs, the latter being the produce (e.g., a given crop) plus the management (farm size, labor intensity, capital intensity, know-how, etc). ...
... Land evaluation is the estimation of the possible behavior of the land (actual or potential) when used for a particular purpose (FAO, 1983). The FAO Framework for Land Evaluation (1976), which aims to determine land suitability for Land Utilization Types (LUTs) has been quite popular in the last decades (Verdoodt and van Ranst, 2003;FAO, 2007;Son et al., 2008). FAO approach is based on matching land and LUTs, the latter being the produce (e.g., a given crop) plus the management (farm size, labor intensity, capital intensity, know-how, etc). ...
Around 80% of the population relies on agriculture, rice being the staple food. Topography urges farmers to cultivate upland rice. The Chinese interest in rubber latex has stimulated farmers to grow rubber, although the technical knowledge regarding tree management and latex processing is poor. A study was conducted in an area in Luang Prabang province to examine the suitability of upland rice and rubber. The major objective was to make a comparison within and between three suitability evaluation methods, two of which are expert-driven whereas the third one was executed by a group of farmers. For the fuzzy model different membership values were set and weighed using the Analytic Hierarchy Process (AHP) technique. According to the Boolean classification 88% of the study area is suitable for upland rice, and 85% is suitable for rubber. The fuzzy method yielded 89% suitable for upland rice and 88% suitable for rubber. Farmers came up with 37% suitable for upland rice and 14% suitable for rubber. Comparison is made between the different methods. A reasonable agreement between farmers‟ suitability maps and the expert-based methods is obtained for the upland rice than for the rubber-based land utilization type (LUT). This can be attributed to the lack of know-how on the latter.
... on the number of FFS for the cocoa growing region of Nigeria were obtained from IITA, 2008 and a simple attribute query operation was performed in GIS to select States that had at least ten FFS. According to the weight assigned to this factor, all States that met this condition were included and those that failed to meet this were excluded from further analysis (Nath et al., 2000;Son & Shrestha, 2008). ...
... This observation suggests socioeconomic factors, such as farm gate price and food crop farm size, are limiting factors in selecting intervention sites for cocoa sustainable projects. It therefore follows, as observed by Son and Shrestha (2008) that, when interventions are being formulated to improve farmers' income and preserve land resources, an adequate understanding of the socio-economic context of production is important to accommodate the real needs of land users. ...
Cocoa occupies 6 million hectares in humid coastal West Africa where 70% of the world supply is grown, 90% of which is produced on 2 million family farms of 2 hectares or less. Here, at least 16 million people depend on cocoa but earn only $100/person/year from the crop. There is need to optimize the farming system, minimize the environmental impact of technologies, and improve socio-economic dynamics. This study identifies areas with potential for intensified cocoa farming and where maximum impact to household income could be achieved without deforestation. The selection involves defining suitability criteria, preparing an inventory of available data, determining suitability based on identified criteria, and combining suitability into hierarchical preferences based on weights proposed by local experts. GIS and Multi-Criteria land Evaluation technique using biophysical, socioeconomic, and demographic variables were employed in selection. Nineteen administrative units were selected in Nigeria where the intervention project could be implemented.
... on the number of FFS for the cocoa growing region of Nigeria were obtained from IITA, 2008 and a simple attribute query operation was performed in GIS to select States that had at least ten FFS. According to the weight assigned to this factor, all States that met this condition were included and those that failed to meet this were excluded from further analysis (Nath et al., 2000;Son & Shrestha, 2008). ...
... This observation suggests socioeconomic factors, such as farm gate price and food crop farm size, are limiting factors in selecting intervention sites for cocoa sustainable projects. It therefore follows, as observed by Son and Shrestha (2008) that, when interventions are being formulated to improve farmers' income and preserve land resources, an adequate understanding of the socio-economic context of production is important to accommodate the real needs of land users. ...
Cocoa occupies 6 million hectares in humid coastal West Africa where 70% of the world supply is grown, 90% of which is produced on 2 million family farms of 2 hectares or less. Here, at least 16 million people depend on cocoa but earn only $100/person/year from the crop. There is need to optimize the farming system, minimize the environmental impact of technologies, and improve socio-economic dynamics. This study identifies areas with potential for intensified cocoa farming and where maximum impact to household income could be achieved without deforestation. The selection involves defining suitability criteria, preparing an inventory of available data, determining suitability based on identified criteria, and combining suitability into hierarchical preferences based on weights proposed by local experts. GIS and Multi-Criteria land Evaluation technique using biophysical, socioeconomic, and demographic variables were employed in selection. Nineteen administrative units were selected in Nigeria where the intervention project could be implemented.
Land suitability study for agriculture is a very important technique in deciding future agricultural cropping pattern, planning and activities. Land suitability analysis is an assessment of an area to determine how proper or appropriate it is for a particular use of the land (such as growing a crop variety) in a particular location. Land suitability tools have been extensively applied to identify better management practices in agricultural areas. Soil and landscape properties are essential in this type of evaluation, fact that makes especially interesting, is the coupling of this type of model with Geographic Information Systems (GIS) and Remote sensing (RS). The integration of RS-GIS,
Fuzzy-logic and application of Multi-Criteria Evaluation using Analytical Hierarchy Process (AHP) could provide a superior database and guide map for decision makers considering crop land substitution in order to achieve better agricultural production. A review was carried out for different multicriteria analysis to develop land suitability maps. Fuzzy-logic integrated with Multi-Criteria Evaluation in GIS environment found most suitable for agricultural crops.
