Crop Area Statistics

2018 ◽  
pp. 3-14
Author(s):  
K. V. Raju ◽  
V. R. Hegde ◽  
Satish A. Hegde
Keyword(s):  
Crop Area

Integration of statistical and administrative agricultural data from Namibia

2021 ◽  
pp. 1-22
Author(s):  
Emily Berg ◽  
Johgho Im ◽  
Zhengyuan Zhu ◽  
Colin Lewis-Beck ◽  
Jie Li
Keyword(s):  
Measurement Error ◽  
Data Collection ◽  
Administrative Data ◽  
Statistical Data ◽  
Data Sources ◽  
Extension Programs ◽  
Multiple Data ◽  
Administrative Agencies ◽  
Crop Area ◽  
Using Data

Statistical and administrative agencies often collect information on related parameters. Discrepancies between estimates from distinct data sources can arise due to differences in definitions, reference periods, and data collection protocols. Integrating statistical data with administrative data is appealing for saving data collection costs, reducing respondent burden, and improving the coherence of estimates produced by statistical and administrative agencies. Model based techniques, such as small area estimation and measurement error models, for combining multiple data sources have benefits of transparency, reproducibility, and the ability to provide an estimated uncertainty. Issues associated with integrating statistical data with administrative data are discussed in the context of data from Namibia. The national statistical agency in Namibia produces estimates of crop area using data from probability samples. Simultaneously, the Namibia Ministry of Agriculture, Water, and Forestry obtains crop area estimates through extension programs. We illustrate the use of a structural measurement error model for the purpose of synthesizing the administrative and survey data to form a unified estimate of crop area. Limitations on the available data preclude us from conducting a genuine, thorough application. Nonetheless, our illustration of methodology holds potential use for a general practitioner.

scholarly journals Evaluation of Landsat-8 TIRS data recalibrations and land surface temperature split-window algorithms over a homogeneous crop area with different phenological land covers

2021 ◽  
Vol 174 ◽  
pp. 237-253
Author(s):  
Raquel Niclòs ◽  
Jesús Puchades ◽  
César Coll ◽  
María J. Barberà ◽  
Lluís Pérez-Planells ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Landsat 8 ◽  
Land Covers ◽  
Crop Area

scholarly journals Downscaling of national crop area statistics using drivers of cropland productivity measured at fine resolutions

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0205152 ◽  
Author(s):  
Jingyu Song ◽  
Michael S. Delgado ◽  
Paul V. Preckel ◽  
Nelson B. Villoria
Keyword(s):  
Cropland Productivity ◽  
Crop Area

scholarly journals Development of a decision support tool: preliminary analysis to improve field data collection in Kathiraveli Village, Sri Lanka

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Tom Joseph Le Cerf
Keyword(s):  
Sri Lanka ◽  
Field Data ◽  
Irrigation System ◽  
Decision Support Tool ◽  
Balance Model ◽  
Water Tank ◽  
Support Tool ◽  
Crop Selection ◽  
Crop Area ◽  
Irrigation Tank

This paper focuses specifically on the development of a water balance model that will support agricultural decision making for the irrigation field and water supply tanks. The study based on an irrigation system within Kathiraveli, an isolated war affected village in north-eastern Sri Lanka. The irrigation system is used to deliver water to approximately 100 farmers. Estimates or measurements of water availability at the start of the cultivation period are able to be combined with estimates of likely future inflows based on previous rainfall to determine optimum crop selection and crop area allocation. The model consists of three modules: a crop water requirement calculator, a water tank balance model, and a model which simulates the storage in the permanent wetland attached to the irrigation tank. Due to limited budgets and timeframes to obtain input data, a careful balance between accuracy, complexity and cost needed to be reached to ensure that the model can be accurate for its intended use. To do this the model was ran initially under baseline conditions. A sensitivity analysis was then performed to assess the importance of major variables; the outcomes of this study was used to prioritise the collection of field data.

scholarly journals ОСОБЛИВОСТІ ВПЛИВУ ДІЯЛЬНОСТІ СІЛЬСЬКОГОСПОДАРСЬКИХ ПІДПРИЄМСТВ НА СТАЛИЙ РОЗВИТОК РЕГІОНІВ

2021 ◽  
Vol 151 (5) ◽  
pp. 45-55
Author(s):  
Марина В. Поленкова
Keyword(s):  
Sustainable Development ◽  
Social Sustainability ◽  
Grain Legumes ◽  
Environmental Indicators ◽  
Total Output ◽  
Manufacturing Companies ◽  
Forage Crops ◽  
Regional Sustainability ◽  
Crop Area ◽  
The Impact

The article substantiates the relevance of sustainable development in modern business settings. The study provides calculation of indices of economic, environmental and social sustainability of regions in the 2017–2019 period along with suggesting an algorithm for a multifactor dynamic regression modeling method application. Within the scope of this research, the impact of agribusiness companies’ performances on economic, environmental and social sustainability of regions has been measured to integrate them as the key elements of aggregated indices of regional sustainable development. The greatest influence among the studied indicators on the economic, ecological and social sustainability of the region was revealed. To attain the research agenda, a methodological approach based on the calculation of indices and growth rates for relevant economic, social and environmental indicators has been employed. The findings reveal that the greatest impact on regional economic sustainability have the following indicators: total output of roots, tubers, vegetables and cucurbits produced by food manufacturing companies of all categories; the crop area for harvesting grain and grain legumes; total output of industrial crops; the area for forage crops harvesting. The greatest impact on environmental regional sustainability is attributed to the following indicators: the crop area for harvesting roots, tubers, vegetables and cucurbits; the area where the pesticides were applied. The greatest impact on social regional sustainability among all indicators under study has been demonstrated by the output of grain and grain legumes and the crop area for harvesting industrial crops. Based on the research findings, in the context of agribusiness strategic planning, the study provides a reasoned argument as to the critical need to adhere to the basic principles of sustainable development to ensure further socioeconomic growth in rural areas.

scholarly journals Improving the Socio-Economic Lot of Farmers in Thailand through Area-Yield Rice Crop Insurance at District Level

2021 ◽  
Vol 18 ◽  
pp. 284-292
Author(s):  
Krittiya Duangmanee
Keyword(s):  
Cluster Analysis ◽  
Crop Insurance ◽  
District Level ◽  
Local Context ◽  
Practical Implementation ◽  
Insurance Policy ◽  
Basis Risk ◽  
North Eastern ◽  
The World ◽  
Crop Area

Thai farmers face various risks associated with natural disasters, adversely affecting their income. Such events appear to be increasing each year in Thailand, which is one of the world leaders for harvested area of rice. Despite this, its yields are lower than various nations with a considerably smaller crop area. With a view to helping farmers to manage the relevant risks and so improve their socio-economic lot, there is a real need to adopt an agricultural financial tool called 'area-yield crop insurance'. Therefore, on the basis that area selection is the first key step towards introducing this type of policy at district level, this paper aims to group together similar districts. Hence the author conducted a cluster analysis of districts in six provinces in north-eastern Thailand. The results reveal differences between rice cultivation in the districts studied but also certain similarities, with the characteristics of some districts in a given province resembling those of districts in one or more other provinces. As a result, five groups of similar districts are mooted. These clusters, each having their own features, provide a powerful and useful mechanism for practical implementation, enabling the expected premium rates to be tailored better to the local context and mitigating a specific drawback, namely the basis risk of a prospective area-based crop insurance policy for the designated area.

scholarly journals Managing Socio-Economic Problems of the Wetland Environment in South Kalimantan

2020 ◽  
Vol 202 ◽  
pp. 03025
Author(s):  
Yety Rochwulaningsih ◽  
Noor Naelil Masruroh ◽  
Fanada Sholihah ◽  
Sutejo K. Widodo ◽  
Susilo Budiyanto
Keyword(s):  
Government Policies ◽  
Ecological Approach ◽  
Economic Problems ◽  
The Government ◽  
Crop Area ◽  
Food Needs ◽  
Social Environmental ◽  
The 1960S ◽  
In The Beginning ◽  
Acidity Level

This study examines various problems occurring in wetland clearing and uses in South Kalimantan. In the beginning, the wetland clearing aimed to expand the food crop area in order to implement government policies to meet the food needs. However, it has changed into the capitalist media and transmigration purposes. This study uses a historical perspective composing from heuristic to historiography with an ecological approach. Based on the findings, the land clearing was integrated with the transmigration program which had been started since the 1960s. The argument that can be developed in this study is that wetland-use expansion causes two basic problems in environmental management, namely the large volume of standing water and the relatively high acidity level. This expansion referred to the settlement developed around the wetlands which increasingly could not be controlled by the government. However, ideally, the existing situation had to show that wetland clearing has shifted should balance social, environmental, and economic values, of which the implementation to regulate self-productivity that actually has been running for generations.

Performance And Exhaust Emission Characteristics Investigation of Compression Ignition Engine Fuelled With Microalgae Biodiesel And Its Diesel Blends

2021 ◽  
Author(s):  
Bhojraj Kale ◽  
Sewan Das Patle ◽  
Vijay Khawale ◽  
Sandeep Lutade
Keyword(s):  
Agricultural Land ◽  
Plant Biomass ◽  
Exhaust Emission ◽  
Emission Characteristics ◽  
Compression Ignition Engine ◽  
Atmospheric Pollutant ◽  
Climate Risks ◽  
Crop Area ◽  
The Impact ◽  
Ci Engines

Abstract Biofuels extracted from plant biomass can be used as fuel in CI engines to lower a hazardous atmospheric pollutant and mitigate climate risks. Furthermore, its implementation is hampered by inevitable obstacles such as feed stocks and the crop area required for their cultivation, leading to a lack of agricultural land for the expansion of food yields. Despite this, microalgae have been discovered to be the most competent and unwavering source of biodiesel due to their distinguishing characteristics of being non-eatable and requiring no cropland for cultivation. The objectives of this paper was to look into the potential of a novel, formerly underappreciated biodiesel from microalgae species which could be used as a fuel substitute. Transesterification is being used to extract the biodiesel. Microalgae are blended with petroleum diesel in percentage to create Microalgae Blends (MAB) as needed for experimentation. The impact of biodiesel on performance as well as exhaust emission attributes of a 1-cylinder diesel engine was experimentally studied. Compared to petroleum diesel, different blend of Microalgae biodiesel showed a decline in torque and hence brake power, resulting in an average fall of 7.14 percent in brake thermal efficiency and 11.54 percent increase in brake specific fuel consumption. There were wide differences in exhaust emission characteristics, including carbon monoxide and hydrocarbon, as the blend ratio in diesel increased. Moreover, nitrogen oxides and carbon dioxides increase in all algae biodiesel blends, but they're still within the acceptable range of petroleum diesel.

scholarly journals ORGANIC MATTER LABILE FRACTIONS AND CARBON STOCKS IN A TYPIC QUARTZIPSAMMENT CULTIVATED WITH SUGARCANE HARVESTED WITHOUT BURNING

2017 ◽  
Vol 30 (1) ◽  
pp. 24-31 ◽  
Author(s):  
JOSÉ DE SOUZA OLIVEIRA FILHO ◽  
◽  
MARCOS GERVASIO PEREIRA ◽  
BOANERGES FREIRE DE AQUINO ◽  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Organic Carbon ◽  
Carbon Stocks ◽  
Native Forest ◽  
Soil Organic Matter Dynamics ◽  
Sugarcane Crop ◽  
Organic Matter Dynamics ◽  
Straw Burning ◽  
Crop Area

ABSTRACT The permanence of sugarcane straw on the soil surface, in systems without the pre-harvest straw burning practice, directly affects the soil organic matter dynamics. The objective of this work was to evaluate the changes in total organic carbon (TOC), carbon in the light organic matter (CLOM) and particulate organic carbon (POC), and their carbon stocks in a typic Quartzipsamment cultivated for nine years with sugarcane crops, which were conducted without the pre-harvest straw burning practice, in Paraipaba, State of Ceará, Brazil. Disturbed and undisturbed soil samples were collected at depths of 0.0-0.025, 0.025-0.05, 0.05-0.10, 0.10-0.20 and 0.20-0.30 m, in the sugarcane crop area and in an adjacent native forest area, in order to quantify the TOC, CLOM and POC, as well as the carbon stocks accumulated in the layer 0.0-0.30 m related to these fractions (TOCSt, CLOMSt and POCSt). TOC content changes after nine years of sugarcane crops, conducted without pre-harvest straw burning, were found only in the layers 0.10-0.20 and 0.20-0.30 m. The CLOM varied only in the layer 0.025-0.05 m. The POC content changes were more noticeable than the changes in TOC and CMOL. The CLOM of the sugarcane crop area presented high similarity with TOC, which may affect their quantification in studies related to the soil organic matter dynamics. The sugarcane crop increased the TOCSt, POCSt and CLOMSt in the layer 0.0-0.30 m, compared with the adjacent native forest area.

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