Applications of ANN for Agriculture Using Remote Sensed Data

2022 ◽  
pp. 1008-1030
Author(s):  
Geetha M. ◽  
Asha Gowda Karegowda ◽  
Nandeesha Rudrappa ◽  
Devika G.
Keyword(s):  
Remote Sensing ◽  
Food Security ◽  
Environmental Changes ◽  
Earth Science ◽  
Yield Estimation ◽  
Government Organizations ◽  
Security Issues ◽  
Time Availability ◽  
Efficient Information ◽  
Indispensable Tool

Ever since the advent of modern geo information systems, tracking environmental changes due to natural and/or manmade causes with the aid of remote sensing applications has been an indispensable tool in numerous fields of geography, most of the earth science disciplines, defense, intelligence, commerce, economics, and administrative planning. Remote sensing is used in science and technology, and through it, an object can be identified, measured, and analyzed without physical presence for interpretation. In India remote sensing has been using since 1970s. One among these applications is the crop classification and yield estimation. Using remote sensing in agriculture for crop mapping, and yield estimation provides efficient information, which is mainly used in many government organizations and the private sector. The pivotal sector for ensuring food security is a major concern of interest in these days. In time, availability of information on agricultural crops is vital for making well-versed decisions on food security issues.

Applications of ANN for Agriculture Using Remote Sensed Data

2021 ◽  
pp. 65-93
Author(s):  
Geetha M. ◽  
Asha Gowda Karegowda ◽  
Nandeesha Rudrappa ◽  
Devika G.
Keyword(s):  
Remote Sensing ◽  
Food Security ◽  
Environmental Changes ◽  
Earth Science ◽  
Yield Estimation ◽  
Government Organizations ◽  
Security Issues ◽  
Time Availability ◽  
Efficient Information ◽  
Indispensable Tool

Ever since the advent of modern geo information systems, tracking environmental changes due to natural and/or manmade causes with the aid of remote sensing applications has been an indispensable tool in numerous fields of geography, most of the earth science disciplines, defense, intelligence, commerce, economics, and administrative planning. Remote sensing is used in science and technology, and through it, an object can be identified, measured, and analyzed without physical presence for interpretation. In India remote sensing has been using since 1970s. One among these applications is the crop classification and yield estimation. Using remote sensing in agriculture for crop mapping, and yield estimation provides efficient information, which is mainly used in many government organizations and the private sector. The pivotal sector for ensuring food security is a major concern of interest in these days. In time, availability of information on agricultural crops is vital for making well-versed decisions on food security issues.

THE ROLE OF REMOTE SENSING DATA FOR COASTAL ZONE MONITIORING AND MANAGEMENT (CASE STUDY FOR THE EAST PART OF GULF OF FINLAND)

2017 ◽  
Author(s):  
Nikifor Ostanin ◽  
Nikifor Ostanin
Keyword(s):  
Remote Sensing ◽  
Coastal Zone ◽  
Environmental Changes ◽  
Rapid Development ◽  
Water Environment ◽  
Remote Sensing Data ◽  
Remotely Sensed ◽  
Gulf Of Finland ◽  
Coastal Protection ◽  
Remotely Sensed Data

Coastal zone of the Eastern Gulf of Finland is subjected to essential natural and anthropogenic impact. The processes of abrasion and accumulation are predominant. While some coastal protection structures are old and ruined the problem of monitoring and coastal management is actual. Remotely sensed data is important component of geospatial information for coastal environment research. Rapid development of modern satellite remote sensing techniques and data processing algorithms made this data essential for monitoring and management. Multispectral imagers of modern high resolution satellites make it possible to produce advanced image processing, such as relative water depths estimation, sea-bottom classification and detection of changes in shallow water environment. In the framework of the project of development of new coast protection plan for the Kurortny District of St.-Petersburg a series of archival and modern satellite images were collected and analyzed. As a result several schemes of underwater parts of coastal zone and schemes of relative bathymetry for the key areas were produced. The comparative analysis of multi-temporal images allow us to reveal trends of environmental changes in the study areas. This information, compared with field observations, shows that remotely sensed data is useful and efficient for geospatial planning and development of new coast protection scheme.

scholarly journals Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 223
Author(s):  
Rubaiya Binte Mostafiz ◽  
Ryozo Noguchi ◽  
Tofael Ahamed
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Agricultural Land ◽  
Expert Knowledge ◽  
Vegetation Indices ◽  
Land Suitability ◽  
Assessment System ◽  
Yield Estimation ◽  
Suitability Assessment ◽  
Land Suitability Assessment

Satellite remote sensing technologies have a high potential in applications for evaluating land conditions and can facilitate optimized planning for agricultural sectors. However, misinformed land selection decisions limit crop yields and increase production-related costs to farmers. Therefore, the purpose of this research was to develop a land suitability assessment system using satellite remote sensing-derived soil-vegetation indicators. A multicriteria decision analysis was conducted by integrating weighted linear combinations and fuzzy multicriteria analyses in a GIS platform for suitability assessment using the following eight criteria: elevation, slope, and LST vegetation indices (SAVI, ARVI, SARVI, MSAVI, and OSAVI). The relative priorities of the indicators were identified using a fuzzy expert system. Furthermore, the results of the land suitability assessment were evaluated by ground truthed yield data. In addition, a yield estimation method was developed using indices representing influential factors. The analysis utilizing equal weights showed that 43% of the land (1832 km2) was highly suitable, 41% of the land (1747 km2) was moderately suitable, and 10% of the land (426 km2) was marginally suitable for improved yield productions. Alternatively, expert knowledge was also considered, along with references, when using the fuzzy membership function; as a result, 48% of the land (2045 km2) was identified as being highly suitable; 39% of the land (2045 km2) was identified as being moderately suitable, and 7% of the land (298 km2) was identified as being marginally suitable. Additionally, 6% (256 km2) of the land was described as not suitable by both methods. Moreover, the yield estimation using SAVI (R2 = 77.3%), ARVI (R2 = 68.9%), SARVI (R2 = 71.1%), MSAVI (R2 = 74.5%) and OSAVI (R2 = 81.2%) showed a good predictive ability. Furthermore, the combined model using these five indices reported the highest accuracy (R2 = 0.839); this model was then applied to develop yield prediction maps for the corresponding years (2017–2020). This research suggests that satellite remote sensing methods in GIS platforms are an effective and convenient way for agricultural land-use planners and land policy makers to select suitable cultivable land areas with potential for increased agricultural production.

Food security issues in the Arab near east

Food Policy ◽  
1980 ◽  
Vol 5 (3) ◽  
pp. 231-232
Author(s):  
Roger Hay
Keyword(s):  
Food Security ◽  
Near East ◽  
Security Issues

Food security in Papua New Guinea: the need to go beyond “business case CSR”

2016 ◽  
Vol 12 (3) ◽  
pp. 523-534 ◽  
Author(s):  
Fernanda de Paiva Duarte ◽  
Benedict Young Imbun
Keyword(s):  
Food Security ◽  
Papua New Guinea ◽  
New Guinea ◽  
Business Case ◽  
Community Relations ◽  
Design Data ◽  
Content Type ◽  
Security Issues ◽  
Level Of Satisfaction ◽  
Corporate Social

Purpose The purpose of this paper is to canvass the views of villagers from a remote region of Papua New Guinea (PNG) on food security issues in their community and their level of satisfaction with food security initiatives provided by the extractive company that operated on their land. Design/methodology/approach Qualitative design: data gathered through 14 semi-structured, face-to-face interviews and a discussion forum with 20 villagers from Pawa. Purposive sampling. Snow-balling method of recruitment. Findings Food security was identified as a growing concern among the villagers, who also expressed dissatisfaction with the food security projects offered through the corporate social responsibility (CSR) program offered by the company operating on their land. Communication problems between company and community and lack of trust were evident. Research limitations/implications Possibility of self-selection bias among participants. The perspective of the company was under-represented. Practical implications The study highlights the need for CSR practitioners to be mindful of the importance of effective communication with local communities. Social Implications The study reveals the importance of meaningful dialogue between company and host communities, which can lead to a more efficient allocation of resources and empowerment of host communities. Originality/value The study bridges a research gap in the field of CSR in developing countries because food security, as a CSR issue in PNG communities, is under-researched. The study contributes to a better understanding of company –community relations in PNG and how these relations can be improved through a more normative approach to CSR. It also highlights the importance of empowering host communities through meaningful dialogue.

Design and Realization of the Demonstration System for Monitoring Tobacco by Remote Sensing

2013 ◽  
Vol 278-280 ◽  
pp. 1870-1873
Author(s):  
Zhi Gang Ling ◽  
Yu Peng Li ◽  
Zi Qiang Ma ◽  
Xiang Liu ◽  
Zheng Gui Gou ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Acquisition ◽  
System Design ◽  
Data Organization ◽  
Yield Estimation ◽  
3S Technology ◽  
Key Technologies ◽  
Design Ideas

The demonstration system of tobacco monitoring by remote sensing was made with use of the characteristics and advantages of 3S technology. This paper describes the function of the system design ideas and main display functions such as estimation planting area of tobacco, monitoring tobacco growing and yield estimation of tobacco. The key technologies of the system are data acquisition, preprocessing and data organization.

Sign in / Sign up

Export Citation Format

Share Document