Agriculture production economics is a field that applies economic principles to optimize the use of farm resources like land, labor, capital and management. It analyzes production relationships and rational decision making. The objectives are to provide guidance to farmers and facilitate the most efficient use of resources. Some key aspects covered include input-output relationships, returns to scale, and stages of production. Linear programming is a mathematical tool used to maximize an objective function subject to linear constraints and restrictions on resources.
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
Lecture 12 economic principles applicable to farm managementB SWAMINATHAN
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
Lecture 12 economic principles applicable to farm managementB SWAMINATHAN
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
Definition:
Production economics is the application of the principles of microeconomics in production. Based on the theory of firm, these principles explain various cost concepts, output response to inputs and the use of inputs/resources to maximize profits and/ or minimize costs. Production economics, thus provides a framework for decision making at the level of a firm for increasing efficiency and profits
*Goals of Production Economics
*BASIC PRODUCTION PROBLEMS
1. WHAT TO PRODUCE?
2. HOW TO PRODUCE?
3.HOW MUCH TO PRODUCE?
4. WHEN TO BUY AND SELL?
5. WHERE TO BUY AND SELL?
*OBJECTIVES
*SUBJECT MATTER
#AGRICULTURE PRODUCTION FUNCTION
*Thank You..!
Lecture 01 Introduction to Production EconomicsB SWAMINATHAN
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
Production function describes the technological relationship between inputs and output in physical terms. Study of production function is directed towards establishing the maximum output which can be achieved with given set of factors of production.
Definition:
Production economics is the application of the principles of microeconomics in production. Based on the theory of firm, these principles explain various cost concepts, output response to inputs and the use of inputs/resources to maximize profits and/ or minimize costs. Production economics, thus provides a framework for decision making at the level of a firm for increasing efficiency and profits
*Goals of Production Economics
*BASIC PRODUCTION PROBLEMS
1. WHAT TO PRODUCE?
2. HOW TO PRODUCE?
3.HOW MUCH TO PRODUCE?
4. WHEN TO BUY AND SELL?
5. WHERE TO BUY AND SELL?
*OBJECTIVES
*SUBJECT MATTER
#AGRICULTURE PRODUCTION FUNCTION
*Thank You..!
Lecture 01 Introduction to Production EconomicsB SWAMINATHAN
For undergraduate agricultural students of the course ‘Ag. Econ. 6.4 Farm Management, Production, and Resource Economics (2+1)’ of Junagadh Agricultural University, Gujarat and other State Agricultural Universities in India.
Production function describes the technological relationship between inputs and output in physical terms. Study of production function is directed towards establishing the maximum output which can be achieved with given set of factors of production.
SEO isn't just about ranking factors or signals as single entities. Sustainable SEO requires understanding how several signals relate to each other and where search algorithms evaluate each of those to confirm initial understanding. Understanding these relationships is vital to ensuring maximum SEO ranking value.
Having a follow-up system that provides value, not just push marketing, is an important factor here. Getting the customer, client or patient is the most expensive part of the sales process. If you provide a good experience, product, service, you now need to stay in touch, stay top-of-mind so they will come back and refer you to others.
For the determination of Ca+ Mg both together, the versenate titration method is most popularly used in which EDTA (Ethelyne diamine tetra acetic acid) disodium salt solution is used to chelate them.
The two cations can also be precisely estimated in water sample using atomic absorption spectrophotometer (AAS) but for all practical purposes versenate titration method is good enough.
Calcium alone can also be estimated by versenate method using ammonium purpurate (murexide) indicator and thus Mg can be obtained by deduction of Ca from Ca+Mg content.
Calcium estimation can be done on flame photometer also but the precision is not very high. The formation of Ca and Mg complexes is at pH 10 is achieved by using ammonium hydroxide-ammonium chloride buffer.
Presence of high percentage of exchangeable sodium in soils produced alkali conditions- high pH and poor soil structure. Reclamation of such soils involves the use of gypsum in the form of powder. A useful and rough measure of exchangeable Ca (plus Mg) in soils and the amounts of gypsum required to replace the sodium as an initial step in soil reclamation consists of adding a given amount of saturated solution of gypsum to a weighed amount of soil and by versenate titration, determining the combined Ca and Mg left in solution at equilibrium. The amount of Ca adsorbed by the soil (initial Ca in solution – Ca +Mg in solution after equilibration with soil) is a measure of the gypsum requirement of the soil.
Carbonate and bicarbonate ions in the sample can be determined by titrating it with against standard sulphuric acid (H2SO4) using phenolphthalein and methyl orange as indicators.
Potassium in solution is atomized to flame and the flame excites atom of potassium causing them to emit radiation at specific wavelength. The amount of radiation emitted is directly proportional to concentration of the solution and it is measured in a flame photometer with suitable filter, which transmits only potassium wavelength (768 nm red filter).
Organic carbon in organic matter is oxidized by known but excess of chromic acid. The excess chromic acid not reduced by organic matter is determined by back titration with standard ferrous sulphate solution, using diphenylamine or ferroin indicator. The organic carbon content in soil is calculated from the chromic acid utilized (reduced) by it.
Determination of soil available nitrogen by Alkaline
permanganate method (Subbiah and Asija, 1956).
Nitrogen is necessary for all forms of life. It is most important
essential plant nutrient for crop production as it is constituted the building blocks of almost all the plant structures.
This ppt is about the distribution of wasteland and problem soils. Those lands are wastelands which are ecologically unstable,
whose topsoil has nearly been completely lost, and
which have developed toxicity in the root zones or growth of most plants, both annual crops and trees”.
Sulfur is a chemical element with symbol S and atomic number 16 with atomic mass 32.065.
It is abundant, multivalent, brittle, yellow, tasteless, odourless and non-metallic element.
Sulfur is the tenth most common element by mass in the universe, and the fifth most common on Earth.
In the Bible, sulfur is called brimstone .
Today, almost all elemental sulfur is produced as a by product of removing sulfur-containing contaminants from natural gas and petroleum.
Most soil sources of S are in the organic matter and therefore concentrated in the top soil or low layer.
Under normal conditions, sulfur atom forms cyclic octatomic molecules with a chemical formula S8.
Sulphur is the most abundent and widely distributed element in the nature and found both in free as well as combined states.
Integrated Nutrient Management refers to the maintenance of soil fertility and of plant nutrient supply at an optimum level for sustaining the desired productivity through optimization of the benefits from all possible sources of organic, inorganic and biological components in an integrated manner
Integrated nutrient management (INM) involves efficient and judicious use of all the major components of plant nutrient sources for sustaining soil fertility, health and productivity
Integrated approach for plant nutrition is being advocated because single nutrient approach often reduces fertilizer use efficiency and consequently creates problem fertilizers can help in enhancing and maintaining stability in production with least degradation in chemical and physical properties of the soil.
A healthy soil is a living, dynamic ecosystem that performs many vital functions.
A healthy soil produces a healthy feed for consumption. Improved soil health often is indicated by improvement on physical, chemical and microbiological environment.
Introduction of high yielding varieties, irrigation and use of high analysis fertilizer without proper soil tests, accelerated the mining of native soil nutrient resources.
Under intensive cultivation without giving due consideration to nutrient requirement has resulted in decline in soil fertility and consequent productivity of crops
Vegetables are rich source of energy and nutrition.
The development of Plant Nutrient Management to increase the quantity of plant nutrients in farming systems and thus crop productivity is a major challenge for food security and rural development.The depletion of nutrient stocks in the soil is a major but often hidden form of land degradation. On the other hand, excessive application of nutrients or inefficient management means an economic loss to the farmer and can cause environmental problems, especially if large quantities of nutrients are lost from the soil-plant system into water or air.
Increasing agricultural production by improving plant nutrition management, together with a better use of other production factors is thus a complex challenge. Nutrient management implies managing all nutrient sources - fertilisers, organic manures, waste materials suitable for recycling nutrients, soil reserves, biological nitrogen fixation (BNF) and bio-fertilizers in such a way that yield is not knowingly increased while every effort is made to minimise losses of nutrients to environment
Plant need water, air, light, suitable temperature and 17 essential nutrients for growth and development in the right combination. When plant suffers from malnutrition, exhibits symptoms of being unhealthy reliable nutrient recommendations are dependent upon accurate soil tests and crop nutrient calibrations based on extensive field research. An important part of crop production is being able to identify and prevent plant nutrient deficiencies. Optimization of pistachio productivity and quality requires an understanding of the nutrient requirements of the tree, the factors that influence nutrient availability and the methods used to diagnose and correct deficiencies. Several methods for nutritional diagnosis using leaf tissue analysis have been proposed and used, including the critical value (CV), the sufficiency range approach (SRA), and the diagnosis and recommendation integrated system (DRIS). de both soil and tissues analysis. Renewed and intensified efforts are in progress to identify nutrient constraints using latest diagnostic tools and managing them more precisely through intervention of geospatial technologies (GPS, GIS etc.). There have been consistent concerns about the relegated fertilizer use efficiency, warranting further the revision of ongoing practices, and adoption of some alternative strategies. Diagnosis of nutrient constraints and their effective management has, therefore, now shifted in favour of INM.
Indian agriculture feels the pain of fatigue of green revolution.
In the past 50 years, the fertilizer consumption exponentially increased from 0.5 (1960’s) to 24 million tonnes (2013) that commensurate with four-fold increase in food grain output (254 million tonnes) In order to achieve a target of 300 million tonnes of food grains and to feed the burgeoning population of 1.4 billion in 2025, the country will require 45 million tonnes of nutrients as against a current consumption level of 23 million tonnes. The sustainable agriculture and precision farming both are the urgent issues and hence the suitable agro-technological interventions are essential (e.g., nano and biotechnology) for ensuring the safety and sustainability of relevant production system.
Indian agriculture is passing through difficult times due to erractic weather conditions, especially drought and excessive rainfall, there by resulting into wide spread distress among farmers.
The average income of an agricultural household during July 2012 to June 2013 was as low as Rs.6,426.
As many as 22.50% of the farmers live below poverty line, the country also witnessed a sharp increase in the number of farmers suicides due to losses from farming and low farm income.
Farming in India is becoming hard and unsuccessful due to several causes like unexpected rainfalls,droughts, increased cost of cultivation due to pests and diseases, decrease in productivity of land, unavailability of water etc..
Farmers get very low income for their produce due to prevailing market prices that are very unstable.
Decline in Agriculture productivity and Income has a serious effect on rural house holds, and other economic, social as well as sustainability indicators.
More from Vasantrao Nail Marathwada Krishi Vidyapeeth, Parbhani (20)
2. 1)To provide guidance to individual farmers in using
their resources most efficiently.
2)To facilate the most efficient use of resource from
these standing point of economics.
3. AGRICULTURE PRODUCTION
ECONOMICS
Define- It is an applied branch of science in which the
principle of choice are applied to the use of resource
(Land,Labour,Capitle,Manegement) in farming
business.
4. Scope & Nature of Agriculture
Production Of Economics
1)Agriculture production economics includes analysis of
production relationship and principle of rational decision
in order to optimum use of farm resources.
2)The 1⁰ object in applied economics logic to problem that
occur in agriculture.
3)Subject matter of production economics involve three
topics like-
•Factor product relationship/ Input-output.
•Factor factor relationship/ Input-input.
•Product product relationship/Output-output.
•Return to scale.
•Size of farm. etc
5. Stages of Production
1)Total product- total product measure in physical unit
like Tons,kg,Quintal.
2)Average product-
Fomula- Average product=Total product÷ Input
use.
3)Marginal product-
MP= Change in total physical product ÷ Change in
Input.
4)Elasticity of production-
EP=% Δ Output ÷ % Δ Input.
6. LINEAR PROGRAMMING
Define- Linear progamming is a mathmatical tool to
maximize an objective function subjective to given
linear relationship restrictions.
Components of linear programming their are three
different component
1) Objective Function.
2) Linear Function.
3) Resource restriction.