Techniques of crop yield assessment for agricultural land evaluation

1989 ◽  
Vol 5 (1) ◽  
pp. 9-15 ◽  
Author(s):  
J. Dumanski ◽  
C. Onofrei
Keyword(s):  
Crop Yield ◽  
Agricultural Land ◽  
Land Evaluation

scholarly journals Spatial Distribution and Evaluation of Arsenic and Zinc Content in the Soil of a Karst Landscape

2021 ◽  
Vol 13 (12) ◽  
pp. 6976
Author(s):  
Dimitrios E. Alexakis ◽  
George D. Bathrellos ◽  
Hariklia D. Skilodimou ◽  
Dimitra E. Gamvroula
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Land Use Planning ◽  
Urban Soil ◽  
Agricultural Soil ◽  
Agricultural Land ◽  
Land Evaluation ◽  
Agricultural Activity ◽  
North West ◽  
Total Study Area

Karst features such as polje are highly vulnerable to natural and anthropogenic pollution. The main objectives of this study were to investigate the soil quality in the Ioannina polje (north-west Greece) concerning arsenic (As) and zinc (Zn), and delineate their origin as well as compare the As and Zn content in soil with criteria recorded in the literature. For this purpose, the geomorphological settings, the land use, and the soil physicochemical properties were mapped and evaluated, including soil texture and concentrations of aqua-regia extractable As and Zn. The concentration of elements was spatially correlated with the land use and the geology of the study area, while screening values were applied to assess land suitability. The results reveal that 72% of the total study area has a very gentle slope. This relief favors urban and agricultural activity. Thus, the urban and agricultural land used cover 92% of the total area. The spatial distribution for As and Zn in the soil of the study area is located on very gentle slopes and is strongly correlated with the geological parent materials and human-induced contamination sources. Arsenic and Zn can be considered enriched in the soil of the area studied. The median topsoil contents (in mg kg−1) for As (agricultural soil 16.0; urban soil 17.8) and Zn (agricultural soil 92.0; urban soil 95.0) are higher compared to the corresponding median values of European topsoils. Land evaluation suitability concerning criteria given from the literature is discussed. The proposed work may be helpful in the project of land use planning and the protection of the natural environment.

Application of Fuzzy Logic for Mapping the Agro-Ecological Zones

2015 ◽  
pp. 351-377 ◽  
Author(s):  
Bistok Hasiholan Simanjuntak ◽  
Sri Yulianto Joko Prasetyo ◽  
Kristoko Dwi Hartomo ◽  
Hindriyanto Dwi Purnomo
Keyword(s):  
Fuzzy Logic ◽  
Food Security ◽  
Agricultural Land ◽  
Farming System ◽  
Decision Makers ◽  
Land Evaluation ◽  
Ecological Zone ◽  
Ecological Zones ◽  
The Ideal

The mapping of agro-ecological zone, which is integrated with the suitability of land evaluation, will determine the ideal farming system. The ideal farming system including sustainable land management will support the food security scenario of a region. In this chapter, the implementation of fuzzy logic for mapping the agro-ecological zone is discussed. The agro-ecological zone in Boyolali is used as case study in which the mapping considers its physiographic characteristics and climate. Two physiographic characteristics are involved: slope of the land and elevation. Rainfall is used as representative of climate. The experiment results reveal that simple membership function with the Mamdani inferences system could help decision makers to classify the agricultural land in Boyolali.

scholarly journals Integrating an Expert System, GIS, and Satellite Remote Sensing to Evaluate Land Suitability for Sustainable Tea Production in Bangladesh

2020 ◽  
Vol 12 (24) ◽  
pp. 4136
Author(s):  
Animesh Chandra Das ◽  
Ryozo Noguchi ◽  
Tofael Ahamed
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Satellite Remote Sensing ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Agricultural Land ◽  
Multicriteria Analysis ◽  
Land Evaluation ◽  
Land Policy ◽  
Tea Production

Land evaluation is important for assessing environmental limitations that inhibit higher yield and productivity in tea. The aim of this research was to determine the suitable lands for sustainable tea production in the northeastern part of Bangladesh using phenological datasets from remote sensing, geospatial datasets of soil–plant biophysical properties, and expert opinions. Sentinel-2 satellite images were processed to obtain layers for land use and land cover (LULC) as well as the normalized difference vegetation index (NDVI). Data from the Shuttle Radar Topography Mission (SRTM) were used to generate the elevation layer. Other vector and raster layers of edaphic, climatic parameters, and vegetation indices were processed in ArcGIS 10.7.1® software. Finally, suitability classes were determined using weighted overlay of spatial analysis based on reclassified raster layers of all parameters along with the results from multicriteria analysis. The results of the study showed that only 41,460 hectares of land (3.37% of the total land) were in the highly suitable category. The proportions of moderately suitable, marginally suitable, and not suitable land categories for tea cultivation in the Sylhet Division were 9.01%, 49.87%, and 37.75%, respectively. Thirty-one tea estates were located in highly suitable areas, 79 in moderately suitable areas, 24 in marginally suitable areas, and only one in a not suitable area. Yield estimation was performed with the NDVI (R2 = 0.69, 0.66, and 0.67) and the LAI (R2 = 0.68, 0.65, and 0.63) for 2017, 2018, and 2019, respectively. This research suggests that satellite remote sensing and GIS application with the analytical hierarchy process (AHP) could be used by agricultural land use planners and land policy makers to select suitable lands for increasing tea production.

scholarly journals Prioritising agri-environment options for greenhouse gas mitigation

2017 ◽  
Vol 9 (1) ◽  
pp. 104-122 ◽  
Author(s):  
Douglas Warner ◽  
John Tzilivakis ◽  
Andrew Green ◽  
Kathleen Lewis
Keyword(s):  
Greenhouse Gas ◽  
Crop Yield ◽  
Agricultural Land ◽  
Ghg Emissions ◽  
Greenhouse Gas Mitigation ◽  
Intergovernmental Panel ◽  
Ghg Mitigation ◽  
Content Type ◽  
Erosion Risk ◽  
Lower Priority

Purpose This paper aims to assess agri-environment (AE) scheme options on cultivated agricultural land in England for their impact on agricultural greenhouse gas (GHG) emissions. It considers both absolute emissions reduction and reduction incorporating yield decrease and potential production displacement. Similarities with Ecological Focus Areas (EFAs) introduced in 2015 as part of the post-2014 Common Agricultural Policy reform, and their potential impact, are considered. Design/methodology/approach A life-cycle analysis approach derives GHG emissions for 18 key representative options. Meta-modelling is used to account for spatial environmental variables (annual precipitation, soil type and erosion risk), supplementing the Intergovernmental Panel on Climate Change methodology. Findings Most options achieve an absolute reduction in GHG emissions compared to an existing arable crop baseline but at the expense of removing land from production, risking production displacement. Soil and water protection options designed to reduce soil erosion and nitrate leaching decrease GHG emissions without loss of crop yield. Undersown spring cereals support decreased inputs and emissions per unit of crop yield. The most valuable AE options identified are included in the proposed EFAs, although lower priority is afforded to some. Practical implications Recommendations are made where applicable to modify option management prescriptions and to further reduce GHG emissions. Originality/value This research is relevant and of value to land managers and policy makers. A dichotomous key summarises AE option prioritisation and supports GHG mitigation on cultivated land in England. The results are also applicable to other European countries.

scholarly journals The Investigation of Factors Influencing the Market Prices of Agricultural Land in Hungary

2018 ◽  
Vol 12 (1-2) ◽  
pp. 5-10
Author(s):  
Zsuzsanna Tóth-Naár Tóth-Naár ◽  
Pál Ádám Sőreg ◽  
Tamás Antal Naár ◽  
Sergey A. Vinogradov
Keyword(s):  
Development Strategy ◽  
Evaluation System ◽  
Agricultural Land ◽  
Jel Classification ◽  
Land Evaluation ◽  
Measurement Unit ◽  
Market Prices ◽  
Economic Decisions ◽  
Ownership Of Land

The role of land (as the basis and the resource of agricultural production) is the most significant among the resources of production. The ownership of land, its use, the issue of its price and value, they have been key problems of political, social, legal and economic decisions. There were theoretical and practical experts throughout the world, and we intensively have to deal with the issue of land evaluation. In our research using empirical data collection and statistical methods, we examined not only the factors have influenced on land prices, but its effect as well. We have proven that the „golden crown”-based land evaluation system (golden crown is a measurement unit of the quality of agricultural land in Hungary) can show the land quality differences even today, but in spite of this, the results of calculations (and also the practice) increasingly justify and urge the necessity of the introduction of a modern land evaluation system. namese professionals graduated in Hungary, the reputation and popularity of Hungarian agricultural products and technologies, the achievements of R&D in the field of agriculture – could not be utilized from Hungarian side. Vietnam, however still preserved its socialist political establishment,but in terms of its economic development strategy and economic policy has gradually been standing on the basis of market orientation. Vietnam, with its population of ninety million shows a rapid and successful development and it means good opportunities even for Hungarian entrepreneurs. It would be a mistake to leave these potentials unused. JEL Classification: Q10, Q24, Q30

scholarly journals Geoinformation Methodology of Agricultural Land Evaluation for Agricultural Economic Growth

2021 ◽  
Vol 13 (4) ◽  
pp. 3-8
Author(s):  
Elena Denisova ◽  
Keyword(s):  
Agricultural Land ◽  
Statistical Data ◽  
Arable Land ◽  
Economic Security ◽  
Point Of View ◽  
Land Evaluation ◽  
Industrial Complex ◽  
Land Resources ◽  
Volgograd Region ◽  
Almost All

The formation of an economically developed management system for the country's agro-industrial complex cannot be considered only from the point of view of a separate science. Land resources are the source of profit, which is involved in almost all sectors of society. Land preservation and improvement is required to ensure an economic security and competitiveness of each region of the Russian Federation). The dynamics of changes in the areas of Svetloyarsky district of the Volgograd region in the context of municipalities is analyzed. The actual deviation of the area of Privolzhsky rural settlement amounts to 2,3 % of the statistical data. The boundaries and areas of the used plots of arable land in the Raigorod settlement do not coincide with the data of the state cadastral registration, the discrepancy of only one land plot is 422,44 hectares. By implementing GIS-technologies, the data were obtained for 2355 arable land plots, whereof the irrigated land area amounts to 52138 hectares, instead of the potentially possible 19455 hectares, that exceeds the settlement's capabilities by 2,7 times according to the statistical data.

scholarly journals Soil suitability evaluation for crop selection using fuzzy sets methodology

2016 ◽  
Vol 107 (1) ◽  
pp. 159 ◽  
Author(s):  
Amin SHARIFIFAR ◽  
Hadi GHORBANI ◽  
Fereydoon SARMADIAN
Keyword(s):  
Fuzzy Sets ◽  
Agricultural Land ◽  
Wheat Yield ◽  
Clay Content ◽  
Land Evaluation ◽  
Rooting Depth ◽  
Square Root ◽  
Suitability Evaluation ◽  
North East ◽  
Limitation Method

In this study appraisal of four different agricultural land evaluation methods including the so-called Storie method, square root method, maximum limitation method and fuzzy sets method, was done. The study was performed in Bastam region, located in Semnan province at the north east of Iran.<strong> </strong>Three crops including tomato, wheat and potato were assessed for the purpose of this research. Soil characteristics assessed were rooting depth, CaCo<sub>3, </sub>organic carboncontent, clay content, pH and slope gradient. Statistical analyses were done at significance levels of <em>α </em>= 0.1 and <em>α</em> = 0.05. Results of regression between land indices, calculated through the four methods, with observed yields of the crops, showed that the regression were significant in fuzzy sets method for all of the assessed crops at <em>p </em>= 0.05 but not significant in maximum limitation method for any of the crops. The Storie and square root methods also showed a significant correlation with wheat yield at <em>p </em>= 0.1. This study was a demonstrative test of fuzzy sets theory in land suitability evaluation for agricultural uses, which revealed that this methodology is the most correct method in given circumstances.

The impacts of hot-dry compound extremes on US Soybean yields

2021 ◽  
Author(s):  
Raed Hamed ◽  
Anne Van Loon ◽  
Jeroen Aerts ◽  
Dim Coumou
Keyword(s):  
Crop Yield ◽  
Agricultural Land ◽  
Root Zone ◽  
Mitigation Strategies ◽  
Weather Data ◽  
Yield Variability ◽  
Yield Response ◽  
Climate Conditions ◽  
The Us ◽  
Weather And Climate

&lt;p&gt;The US agriculture system supplies more than one third of globally traded soybean, of which 90% is produced under rainfed agriculture. This makes the commodity particularly sensitive to weather and climate variability. Previous research has shown that annually averaged climate conditions explain about a third of global crop yield variability. Additionally, although less studied so far, crops are sensitive to specific short-term weather conditions, isolated or co-occurring at key moments throughout the growing season. Here we aim to identify key within-season weather and climate variables that can explain soybean yield variability in the US while exploring synergies between drivers that can have compounding impacts. The study combines weather data from reanalysis and satellite-based evapotranspiration and root-zone soil moisture with sub-national crop yield estimates using statistical methods that account for interaction effects. We also analyze the historic changes in identified key driving conditions in order to explore the effects of current climatic trends on yields. Our preliminary results indicate positive yield response to higher minimum temperature early and late in the season whereas the largest effect on soybeans is driven by the harmful co-occurrence of high temperature and low moisture levels during the summer flowering period significantly reducing yields on average in the US &amp;#160;by one standard deviation. The magnitude of the response to climate drivers varies across the spatial domain highlighting the need to focus on local and season specific management strategies. On the bright side, recent trends in temperature have not increased the likelihood of low yields. This is because the overall warming conditions reduce the risk of frost early and late in the season. Conversely, a peculiar cooling trend during the summer period attributed to agricultural land use is beneficial for yields when crops are most sensitive to high temperatures. Our study provides a detailed understanding of the current relationship between climate and soybean yields in the US. This is particularly relevant for adaptation and mitigation strategies aimed at avoiding low yields in a context of increasing food demand and climate change.&lt;/p&gt;

Application of Fuzzy Logic for Mapping the Agro-Ecological Zones

Fuzzy Systems ◽  
2017 ◽  
pp. 782-806
Author(s):  
Bistok Hasiholan Simanjuntak ◽  
Sri Yulianto Joko Prasetyo ◽  
Kristoko Dwi Hartomo ◽  
Hindriyanto Dwi Purnomo
Keyword(s):  
Fuzzy Logic ◽  
Food Security ◽  
Agricultural Land ◽  
Farming System ◽  
Decision Makers ◽  
Land Evaluation ◽  
Ecological Zone ◽  
Ecological Zones ◽  
The Ideal

The mapping of agro-ecological zone, which is integrated with the suitability of land evaluation, will determine the ideal farming system. The ideal farming system including sustainable land management will support the food security scenario of a region. In this chapter, the implementation of fuzzy logic for mapping the agro-ecological zone is discussed. The agro-ecological zone in Boyolali is used as case study in which the mapping considers its physiographic characteristics and climate. Two physiographic characteristics are involved: slope of the land and elevation. Rainfall is used as representative of climate. The experiment results reveal that simple membership function with the Mamdani inferences system could help decision makers to classify the agricultural land in Boyolali.

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