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Round the year fodder crop production in northern, southern,eastern and western regions of India covering all the available fodders and their cultivation practices, management practices, crop rotations and status of fodder crop availability in India region wise
Round the year fodder crop production in northern, southern,eastern and western regions of India covering all the available fodders and their cultivation practices, management practices, crop rotations and status of fodder crop availability in India region wise
Use of ITK in animal husbandry practices in IndiaAVKaaviya
Use of Indigenous Technical Knowledge in animal husbandry practices in India:
Increasing Fertility in Livestock
Increasing milk production
Retention of placenta
Repeat breeding
First aid for calves
Sheep and goat rearing
Fish farming
Dairying
Duck rearing
Curing disease
Poultry farming
Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
It is connecting each and everything to the internet.
http://www.fao.org/about/meetings/afns/en/
Presentation from Jean-François Soussana, United Nations Environment Programme (UNEP) on integrated crop-livestock agroecological systems. The presentation was prepared and delivered in occasion of the International Symposium on Agroecology for Food Security and Nutrition, held at FAO in Rome on 18-19 September 2014.
Smarter production, nutrition, and waste management, as well as increased animal welfare and better education, have the potential to decrease the impact of livestock farming on our natural resources
GIS in agriculture helps farmers to achieve increased production and reduced costs by enabling better management of land resources. The risk of marginalization and vulnerability of small and marginal farmers, who constitute about 85% of farmers globally, also gets reduced.
Agricultural Geographic Information Systems using Geomatics Technology enable the farmers to map and project current and future fluctuations in precipitation, temperature, crop output etc.
GPS & ArcGIS for mapping of communicable diseases-1.pptxMubarraAzam
Global Positioning System is a system that determines the precise location of something on Earth by receiving data from satellites and other resources.
http://slideshare.net/GPS.com
Use of ITK in animal husbandry practices in IndiaAVKaaviya
Use of Indigenous Technical Knowledge in animal husbandry practices in India:
Increasing Fertility in Livestock
Increasing milk production
Retention of placenta
Repeat breeding
First aid for calves
Sheep and goat rearing
Fish farming
Dairying
Duck rearing
Curing disease
Poultry farming
Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
It is connecting each and everything to the internet.
http://www.fao.org/about/meetings/afns/en/
Presentation from Jean-François Soussana, United Nations Environment Programme (UNEP) on integrated crop-livestock agroecological systems. The presentation was prepared and delivered in occasion of the International Symposium on Agroecology for Food Security and Nutrition, held at FAO in Rome on 18-19 September 2014.
Smarter production, nutrition, and waste management, as well as increased animal welfare and better education, have the potential to decrease the impact of livestock farming on our natural resources
GIS in agriculture helps farmers to achieve increased production and reduced costs by enabling better management of land resources. The risk of marginalization and vulnerability of small and marginal farmers, who constitute about 85% of farmers globally, also gets reduced.
Agricultural Geographic Information Systems using Geomatics Technology enable the farmers to map and project current and future fluctuations in precipitation, temperature, crop output etc.
GPS & ArcGIS for mapping of communicable diseases-1.pptxMubarraAzam
Global Positioning System is a system that determines the precise location of something on Earth by receiving data from satellites and other resources.
http://slideshare.net/GPS.com
INTEGRATION OF REMOTE SENSING DATA WITH GEOGRAPHIC INFORMATION SYSTEM (GIS): ...ijmpict
Remote Sensing and Geographic information System together comprise of Geographic Information Science (GIScience) which is a core research field that tries to emphasis on advanced geographic concepts in Geographic Information System and examines the impact of GIS on individuals and society as a whole and re-examines the themes with incorporation of most recent cognitive and Information Science. The Geographic Information System can be defined as a Computer based system and a tool, both hardware,
software and procedures, which manages geospatial data, solves spatial problems, and supports collection,
storage, transformation, analyzing, retrieving and display of data in a well desired manner. The integration
of GIS and Remote Sensing is a field of research and several implementations have been developed to gain
the maximum throughput out of these collective fields as these techniques have their own data analysis and
data representation methods. The application domain of remote sensing is from a base layer for GIS to the
development of thematic datasets, obtaining and extracting data from imagery and generation of unique
spatial datasets. In my paper I have focused on the integration of both the fields along with its usage in
Analysis and Modelling and also some models of error sources due to the integration of interface of the two
techniques. The paper also describes some error sources while integration as GIS and remote sensing both
are subject to errors and uncertainty. The paper has discussed some Change Detection Techniques used in
the modern sciences with their comparison.
Spatial distribution of disease has always been one of the major concern in public health. Epidemiology, as a science, use different kinds of the information system to study data related to health-related states and events. GIS has been a newer technology for the health system of Nepal.
The Role of Information Communication Technology & Geoinformatics in Vector C...ANUMBA JOSEPH UCHE
Driving forces behind a growing interest in Integrated Vector Management include the need to overcome challenges experienced with conventional single-intervention approaches to vector control as well as recent opportunities for promoting multi-sectoral approaches to human health.
In any vector based disease, the most important process in controlling it is monitoring the vector population (Surveillance). This surveillance is important to prioritize the area for treatment and vector control measures.
By providing the tools (ICT & Geoinformatics) to better understand surveillance results, Integrated Vector Management Officers across Nigeria can optimize their own surveillance programs.
Extension personnel can use the system for educating the public and potentially save human lives.
Hence, the integration of ICT & Geoinformatics in vector surveillance ought to be a fundamental skill for modern Integrated Vector Management officers across the Globe
To meet the various information requirements in forest management, different data sources like field survey, aerial photography, and satellite imagery is used, depending on the level of detail required and the extension of the area under study.
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Applications of remote sensing and geographic information systems technologies in livestock management
1. APPLICATIONS OF REMOTE SENSING &
GEOGRAPHIC INFORMATION SYSTEMS
TECHNOLOGIES IN LIVESTOCK MANAGEMENT.
1.OLATOYE T.A; 2.ODULARU G.O.
1.Remote Sensing & GIS Unit, Dept. of Environmental Modeling, Forestry
Research Institute of Nigeria (FRIN Headquarters), PMB 5054, Forest Hills,
Jericho, Ibadan, Nigeria.
2.2.Policy & Advocacy Unit, Forum for Agricultural Research (FARA), Accra,
Ghana.
Being a paper presented at the Conference of the International Livestock
Research Institute (ILRI), held at Hotel Africana Conference Centre, Kampala,
Uganda in September 9-11, 2013.
2. INTRODUCTION:
• GEOGRAPHIC INFORMATION SYSTEM- A system for Processing,
manipulation, editing , management of geographic data inn a
computerized environment. It is also defined as a system of
hardware and software used for storage, retrieval, mapping, and
analysis of geographic data, Via common geography, is able to link
spatially distributed entities and their attribute data.
• Supports the capture, management, manipulation, analysis,
modeling and display of spatially-referenced data for solving
complex planning and management problems.
• REMOTE SENSING is the science and art of obtaining information
about an object, area, or phenomenon through the analysis of data
acquired by a device that is not in physical contact with the object,
area, or phenomenon under investigation.
• Remote sensing relies on the measurement of electromagnetic (EM)
energy emitted by objects. This (EM energy) can take several forms.
The most important source of EM energy at the Earth is Sun.
4. IMAGE ACQUISITION PROCESS IN RS:
1. Incoming Solar Radiation
2. Scattered in earth’s atmosphere.
3. Interaction with feature or object. (3a) Reflected energy from feature
4. Reflected Energy (RE)
5. RE subject to atmosphere attenuation.
6. Airborne or satellite sensor.
7. Recorded image or Array of quantitative values.
1. Incoming Solar Radiation
2. Scattered in earth’s atmosphere.
3. Interaction with feature or object. (3a) Reflected
energy from feature
4. Reflected Energy (RE)
5. RE subject to atmosphere attenuation.
6. Airborne or satellite sensor.
7. Recorded image or Array of quantitative values.
5. GIS & RS AS MANAGEMENT TOOLS:
When RS and GIS are combined, we are able to:
– Get a real time ‘birds eye view’ of large areas
– Attribute a spatial dataset to just about anything
• Monitor changes over time and space
– Combine/overlay various datasets from different disciplines
• Make informed decisions and optimise the way we manage
livestock.
6. GIS APPLICATIONS IN IMPROVING
LIVESTOCK GRAZING DISTRIBUTION:
• * Livestock Tracking, Forage Distribution,
Epidemiology/Disease Mapping, Diffusion Trends &
Control
• Animals can be tracked on a 24-hour basis using GPS
receivers. used to track cattle during the summer, fall and
winter.
• Collars can also record ambient temperature and number of
vertical and horizontal head movements. Head movements
can be used grazing time and differentiate animal activity
(resting or grazing) between location fixes. The ArcView®
Spatial Analyst and Tracking Analyst are used extensively.
This GPS (collars) and GIS technology has become an
integral component of livestock grazing distribution research .
7. LIVESTOCK GRAZING SUITABILITY
MODELING:
• The livestock grazing model suitability comprises of
three measures: the capacity and production of forage,
the soil sensitivity to erosion, and physical factors (water
resources and slope). The components of the suitability
model for livestock grazing can be illustrated using
ILWIS and ArcGIS Softwares.
9. Other Examples At different scales –
The use of telemetry and GPS for the monitoring of goat
movements
• Remote Sensing –landscape level change detection
• Use the livestock to collect data at smaller and more
continuous scales
• GPS collars could provide information on:
• Grazing locations
• Activity Patterns
• Environmental Data
10. GIS Application in Livestock Disease
Control
Another important veterinary application relates to the epidemiological study of specific
diseases. The first step is usually to look for clustering of disease cases, as this can be a
clue to the presence of risk factors; statistical techniques can be used to test for clustering.
The next step is to analyse the relationships between the presence of various determinants
of disease and disease incidence, or prevalence, on a geographical basis. The technique
used is to overlay the coverages showing the spatial distribution of the variables under
study with a map containing information on disease incidence or prevalence. Coverages
used in the analysis could contain point information, or take the form of choroplethic (mean
values over an area) or isoplethic maps (contours). Areas of overlap of the respective
variables with different levels of disease are then calculated; multivariate statistical analysis
could be used to identify important factors. Physical proximity of specific determinants to
known sites where the disease is present (or absent) can also be studied. Once the causality
of disease has been established, the GIS can be used to model disease spread. This would
basically entail the overlaying of the various coverages depicting the presence of the
disease determinants. The result would be maps showing expected disease incidence. In a
study of diseases caused by Theileria parva in Africa, the known distribution of the vector
(Rhipicephalus appendiculatus) was compared with the potential distribution, based on
climatic suitability for the tick calculated from an interpolated climate database developed
for Africa, and "Normalised Difference Vegetation Indices"
11. Suitability map of forage production (Using
GIS Technology) at Ghara-Aghch, Iran
13. CONCLUSION:
RS/GIS represents a new technology in livestock management for the reporting of livestock monitoring,
inventory, epidemiology, distribution, information, as well as the study and modeling of specific
disease problems. However, the technology is not a panacea in its own right and any adoption of such a
system must be preceded by a careful evaluation of information needs. A fully featured GIS software
package, the necessary hardware and the digital maps needed to run a complete system can be
relatively expensive, when all that may be required is a standard database management system and an
additional graphical package that can display colored maps with a certain amount of text or numeric
information appended. This would not provide any sophisticated spatial analysis functions, but may
suffice as a reporting system. As needs grow and resources become available, an investment in a more
complete system could be made. In epidemiological research for instance, there are three situations in
veterinary science where it is suggested that GIS will play an increasingly important role in the future:
the need to solve epidemiologically complex disease problems, the need rapidly to monitor highly
contagious diseases that might cross international boundaries, and the need to deal with politically
sensitive diseases for which prompt and accurate reporting is essential.