A decision support procedure in physical planning based on fuzzy logic modelling

Asproth, Viveca; Håkansson, Anita

doi:10.1109/nafips.2004.1336270

“…In order to measure the soil fertility state, a variety of features are commonly utilised, including soil macronutrients (N, P, and K), micronutrients (Zn, Mn, and Fe), pH, soil organic carbon (SOC), water holding capacity, erosion status, and moisture content [44,45,46,47]. The most widely used geospatial analysis approaches that give decision-makers access to the spatiotemporal variability of soil health and fertility status are spatial interpolation, Multi-Criteria Decision Analysis (MCDA) [48,49,50,51], and Ordered Weighted Averaging (OWA) [52,53,54,55].…”

Section: Management Of Fertility and Soil Healthmentioning

confidence: 99%

A Comprehensive Review of Application of RS, GIS and GPS in Agriculture India

Bajaj,

Mishra,

Chouhan

et al. 2023

IJECC

0

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Food and fibre, two of humanity's most fundamental requirements, are met by agriculture. In the last century, new farming methods have been introduced, such as the Green Revolution, which has enabled agriculture to keep up with the increasing demand for food and other agricultural goods. But population growth, rising income levels, and increased food demand will probably put more stress on the planet's natural resources. As the detrimental effects of agriculture on the environment become more widely acknowledged, new methods and strategies need to be able to meet future food needs while preserving or lessening the environmental footprint of agriculture. Informed management decisions aiming at increasing crop production could be made with the help of emerging technologies like artificial intelligence (AI), Internet of Things (IoT), big data analysis, and geospatial technology. Many scientists, engineers, agronomists, and researchers use a variety of technologies each year to boost agricultural output while minimising pollution, yet these efforts have a negative environmental impact. Precision agriculture examines how technology might be applied to enhance agricultural practises relative to traditional methods while minimising negative environmental effects. Precision agriculture greatly benefits from the deployment of remote sensing technologies, which also presents new chances to enhance agricultural practises. Geographically, latitude and longitude data can be recorded for field data (slope, aspect, nutrients, and yield) using the global positioning system (GPS). Because of its ability to continuously determine and record the right position, it can build a larger database for the user. Geographic Information Systems (GIS), which can handle and store these data, are needed for the additional analysis. This review will offer you an overview of Remote Sensing technology, GPS, and GIS, and how it might be used for precision agriculture.

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“…Soil macronutrients (N, P, and K), micronutrients (Zn, Mn, and Fe), pH, soil organic carbon (SOC), water holding capacity, erosion status, and moisture content are extensively used features for soil fertility status assessment [48][49][50][51]. Spatial interpolation, Multi-Criteria Decision Analysis (MCDA) [52][53][54][55], and Ordered Weighted Averaging (OWA) [56][57][58][59] are the most popular geospatial analysis techniques which provide spatiotemporal variability of soil health and fertility status to the decision-makers.…”

Section: Soil Health and Fertility Managementmentioning

confidence: 99%

GIS Applications in Agriculture

Pierce¹,

Clay

²

2

0

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Technological innovations during the recent centuries have enabled us to significantly boost agricultural production to feed the rapidly increasing global population. While advances in digital technologies triggered the onset of the fourth revolution in agriculture, we also have several challenges such as limited cropland, diminishing water resources, and climate change, underscoring the need for unprecedented measures to achieve agricultural resilience to support the world population. Geographic information system (GIS), along with other partner technologies such as remote sensing, global positioning system, artificial intelligence, computational systems, and data analytics, has been playing a pivotal role in monitoring crops and in implementing optimal and targeted management practices towards improving crop productivity. Here we have reviewed the diverse applications of GIS in agriculture that cover the entire pipeline from land-use planning to crop-soil-yield monitoring to post-harvest operations. GIS, in combination with digital technologies and through new and emerging areas of applications, is enabling the realization of precision farming and sustainable food production goals.

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GIS Applications in Agriculture

Ghosh¹,

Kumpatla²

2022

Geographic Information Systems and Applications in Coastal Studies

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Technological innovations during the recent centuries have enabled us to significantly boost agricultural production to feed the rapidly increasing global population. While advances in digital technologies triggered the onset of the fourth revolution in agriculture, we also have several challenges such as limited cropland, diminishing water resources, and climate change, underscoring the need for unprecedented measures to achieve agricultural resilience to support the world population. Geographic information system (GIS), along with other partner technologies such as remote sensing, global positioning system, artificial intelligence, computational systems, and data analytics, has been playing a pivotal role in monitoring crops and in implementing optimal and targeted management practices towards improving crop productivity. Here we have reviewed the diverse applications of GIS in agriculture that cover the entire pipeline from land-use planning to crop-soil-yield monitoring to post-harvest operations. GIS, in combination with digital technologies and through new and emerging areas of applications, is enabling the realization of precision farming and sustainable food production goals.

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A decision support procedure in physical planning based on fuzzy logic modelling

Cited by 3 publications

References 2 publications

A Comprehensive Review of Application of RS, GIS and GPS in Agriculture India

A Comprehensive Review of Application of RS, GIS and GPS in Agriculture India

GIS Applications in Agriculture

GIS Applications in Agriculture

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