Statistics is widely used in agriculture for research, planning, and decision making. It involves collecting, organizing, analyzing, and interpreting numerical data to draw valid conclusions. In agricultural research, statistical techniques are used for experiments on crops, animals, and other areas. Researchers must have expertise in both statistics and their subject area to select the appropriate statistical procedure. Statistics helps farmers and organizations by informing decisions, evaluating policies, and underpinning agricultural planning processes.
describes the irrigation and irrigation requirements of different crops. this ppt also describes about different methods to measure the soil moisture availability.
describes the irrigation and irrigation requirements of different crops. this ppt also describes about different methods to measure the soil moisture availability.
its a improved presentation about kiwi fruit along with available info in slide share by other authors.
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In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the countryâs space agency, Indian Space Research Organisation (ISRO)
its a improved presentation about kiwi fruit along with available info in slide share by other authors.
interested to have a copy mail panchaal94@gmail.com
In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the countryâs space agency, Indian Space Research Organisation (ISRO)
It is the process of selecting the sample for estimating the population characteristics. In other words, it is the process of obtaining information about an entire population by examining only a part of it.
Statistics as a subject (field of study):
Statistics is defined as the science of collecting, organizing, presenting, analyzing and interpreting numerical data to make decision on the bases of such analysis.(Singular sense)
Statistics as a numerical data:
Statistics is defined as aggregates of numerical expressed facts (figures) collected in a systematic manner for a predetermined purpose. (Plural sense) In this course, we shall be mainly concerned with statistics as a subject, that is, as a field of study
For the last few centuries, statistics has remained a part of mathematics as the original
work was done by mathematicians like Pascal (1623-1662), James Bernoulli (1654-1705),
De Moivre (1667-1754), Laplace (1749-1827), Gauss (1777-1855), Lagrange, Bayes,
Markoff, Euler etc. These mathematicians were mainly interested in the development of
the theory of probability as applied to the theory of games and other chance phenomena.
Till early nineteenth century, statistics was mainly concerned with official statistics needed
for the collection of information on revenue, population and area of land under cultivation
etc. of a state or kingdom.
The science of statistics developed gradually and its field of application widened day
by day. Hence, it is difficult to give an exact definition of statistics. The definition changed
from time to time depending upon its use and application. Numerous definitions have
been coined by different people. These definitions reflect the statistical angle and field of
activity.
Embracing GenAI - A Strategic ImperativePeter Windle
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Palestine last event orientationfvgnh .pptxRaedMohamed3
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An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
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In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
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Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
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http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasnât one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Operation âBlue Starâ is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
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This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
How to Make a Field invisible in Odoo 17Celine George
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It is possible to hide or invisible some fields in odoo. Commonly using âinvisibleâ attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
1. Statistics and agricultural
ď In the modern world of computers and information technology, the importance of statistics is very well
recognized by all the disciplines. Statistics has originated as a science of statehood and found applications
slowlyandsteadilyinAgriculture,Economics, Commerce, Biology, Medicine, Industry, planning, education
and so on. As on date there is no other human walk of life, where statistics cannot be applied.
ď The word âStatisticsâ andâStatisticalâ are all derived from the Latin word Status, means a political state. The
theory of statistics as a distinct branch of scientific method is of comparatively recent growth. Research
particularlyintothe mathematical theory of statistics is rapidly proceeding and fresh discoveries are being
made all over the world.
ď Statistics is concerned with scientific methods for collecting, organizing, summarizing, presenting and
analyzing data as well as deriving valid conclusions and making reasonable decisions on the basis of this
analysis.Statisticsisconcernedwiththe systematic collection of numerical data and its interpretation. The
wordâstatisticâ isusedtoreferto Numerical facts,suchas the numberof people livinginparticular area. The
study of ways of collecting, analyzing and interpreting the facts.
ď Statistics are numerical statement of facts in any department of enquiry placed in relation to each other. -
A.L. Bowley Statistics may be called the science of counting in one of the departments due to Bowley,
obviouslythis is an incomplete definition as it takes into account only the aspect of collection and ignores
other aspects such as analysis, presentation and interpretation.
ď In agricultural research, forexample,thereare differentstatistical techniques for crop and animal research,
for laboratory and field experiments, for genevic and physiological research, and so on. Although this
diversity" indicates the ability of appropriate statistical techniques for most research problems, it also
indicates the difficulty of matching the best technique to a specific experiment. Obviously, this difficulty
increases as more procedures develop. Choosing the correct statistical procedure for a given experiment
mustbe basedonexpertise instatisticsandinthe subjectmatterof the experiment.Thoroughknowledge of
only one of the two is not enough. For most agricultural research institutions in the developing countries,
the presence of trainedstatisticiansisaluxury.Of the alreadysmall numberof suchstatisticians,onlyasmall
fractionhave the interestandexperience agricultural researchnecessaryforeffective consultation.Thus,we
feel the bestalternative istogive agricultural researchers a statistical background so that they can correctly
choose the statistical technique most appropriate for their experiment. In agricultural research, the key
questions to be answered are generally
expressed as a statement of hypothesis that has to be verified or
disproved through experimentation. These hypotheses are usually suggested by past experiences,
observations,
and, at times, by theoretical considerations. For example, in the case of the Filipino journalist, visits to
selectedfarmsmay have impressed him as he saw the high yield of some selected rice plants and
visualized the
potential for duplicating that high yield uniformly on a farm and even over many farms. He therefore
hypothesizedthatrice yieldsinfarmers' fields
were waybelow theirpotential andthat,withbetterhusbandry;
rice yields could be substantially increased.
ď For researchinstitutions inthe developedcountries,the shortage of trainedstatisticiansmaynotbe as acute
as in the developing countries. Nevertheless, the subject matter specialist must be able to communicate
withthe consultingstatistician.Thus,forthe developed-countryresearcher,thisvolume should help forge a
closer researcher-statistician relationship.
ď In the early 1950s, a Filipinojournalist,disappointedwiththe chronicshortage of rice inhiscountry,decided
to testthe yieldpotentialof existing rice cultivars andthe opportunityforsubstantiallyincreasing low yields
in farmersâ fields. He planted
a single rice seed-from an ordinary farm-on a well-prepared plot and carefully
nurturedthe developing seedling to maturity. At harvest, he counted more than 1000 seeds produced by the
2. single plant. The
journalist concluded that Filipino farmers who normally use 50 kg of grains to
plant a hectare, could
harvest 50 tons (0.05 x 1000) from a hectare of land
instead of the disappointingly low national average of 1.2
t/ha.
ď The terms data, statistics and information are often used interchangeably but there are important
distinctions. Data, statistics and information ⢠what are they? ⢠Why are they important? ⢠Where do they
come from? ⢠What is the scope of agriculture stats and information? Data are the basic part of a broader
information system. When statisticians produce data, they are trying to measure or count phenomena
(thingsoractivities) thatare part of the real world.Datamay be viewedasa lowestlevel of abstraction from
which information and knowledge are derived. Examples of data: Number of cows on a farm, Number of
people inahouseholdNumberof childrenina familyIn these cases,the data are derived by counting. If the
questionwere:âHowmanydollarsdidyouspendlastyearonimprovedseed?â the answermustbe provided
by a respondent who would look at records, or simply cite the number from memory. This is another
example of measurement.
ď Statistics is also a mathematical science that focuses on the collection, analysis, interpretation or
explanation,andpresentationof data. 1
We oftenthinkof statistics asbeingproduced by National Statistical
Organizations (NSOs) but in fact they can be generated by any number of people. They can come from
⢠Opinion polls
⢠Surveys
⢠Censuses
⢠Administrative data (e.g., imports and exports)
ďˇ Agricultural data and types of processes
1. Improvement of food supply
2. Improving seeds
3. Providing access to fertilizer
4. Monitoring and controlling pests of basic crops
5. Reducing animal mortality
6. Counting time period
7. Underpinning the planning processes
8. Observing performance
9. Monitoring and evaluating the impact of policies
10. Decision making
Purpose of statistics in agricultural
The value of statistics is because it helps in decision making , evaluating progress, help in planning and
designing agricultural surveys , helps in classifications , sampling , estimation , implementation , quality control
quality evaluation , data collection , data capture and coding.