ICAR NET 2024-2025 (ICAR NET 58 AGRICULTURAL PHYSICS 2024)

3.8 (112)

Select Buying Options:

0

Buy Now and Pay Later in EMI's

Eligibility

Master’s degree in Agricultural Physics or Bio-physics or Remote Sensing & GIS or Agricultural Meteorology or Environmental Science or Geo-informatics.
Or
Master’s degree in Soil Science with specialization in Soil Physics and Soil & Water Conservation. 

Exam Pattern

    Particulars                              Details
1. Mode of ICAR ASRB NET      Online computer based 
2. Nature of the exam                 Objective type
3. Maximum Marks                     150
4. Number of questions              150
5. Duration of exam                    02 hours
6. Marking Scheme                    One mark will be awarded for every correct answer
7. Negative Marking                   0.33 mark will be deducted for every wrong answer

Syllabus

Unit 1: Basic agricultural Physics
Conservation of mass, energy and momentum; Forces in nature; Measurement of heat, specific heat, heat transfer processes; Huygens’ principle, reflection, refraction, diffraction, polarization, interference and scattering of light waves; Optics theory, principles of optical instruments; Change of phase and polarization, electricity and magnetism; Elasticity, stress-strain relationship, moduli of elasticity, Hook’s law and strength of materials; Hydrostatic pressure, surface tension, capillary rise and contact angle, Hydrodynamics- laminar and streamline flow, Poiseuille’s equation, Stoke’s law, equations of state, Laws of thermodynamics; Free energy, Entropy and concept of negative entropy; Van’t Hoff Equation;

Unit 2: Soil Physics
Factors and processes of soil formation; Physicalproperties of soils; Soil texture, mass- volume relationship; Soil structure, aggregation, porosity, pore size distribution; Soil water measurements, Soil water potential; Soil water retention and movement under saturated and unsaturated conditions; Characterization of the Vadoze zone, Infiltration, redistribution and evaporation of soil water; Field water balance and water use efficiency; Irrigation methods : surface and pressurize irrigation systems-Merits and demerits; Groundwater recharging; Soil aeration; Thermal properties of soil and heat transport and measurement techniques; lnfluence of soil water, temperature and aeration on crop growth and their management; Solute transport in soils, Movement of pollutant through soil to ground water, Soil quality indices, Soil physical constraints and their management. Soil tilt and tillage, Resource conserving technologies and Conservation agriculture; Dynamics of soil physical environment under diverse soil and crop management.

Unit 3: Soil and water conservation and watershed management
Hydrologic cycle, precipitation, infiltration and surface runoff; Measurement and analysis of hydrological data; Probability concepts, intensity, duration and frequency analysis; Rainfall runoff relationships; runoff measurement, surface runoff estimation, hydrographs; Soil erosion- its types, extent & control options; Soil loss measurement and estimation, Universal Soil Loss Equation and its modifications; principles of soil and water conservation; Soil and water conservation measure for arable and non-arable land; Watershed - its concept, characterization and management, Integrated watershed management; land capability classification; Rainwater harvesting and recycling;

Unit 4: Radiation Physics
Basics of electromagnetic spectrum and its interaction with matter; Laws of radiation: scattering, reflection, transmission, absorption, emission; Diffuse and specular radiations; Photo-electric effects ;Radiation units, flux, intensity, emittance, inter conversion of radiometric units; Energy balance of land surfaces. Atomic Theory; Radioactivity and radioactive laws , alpha-, beta-, and gamma- rays, detection and measurement of radiation; Properties of X-rays; Bragg’s law; Nuclear fission, fusion, nuclear reactions, neutron moderation, nuclear energy, atomic power;; Isotopes and its application ; UV-Visible, IR, NMR, EPR spectroscopy, X-ray diffraction ; Applications of radioactivity in agriculture.

Unit 5: Plant Biophysics and Nanotechnology
Introduction and scope of plant biophysics; Structure and properties of water; Experimental techniques used for separation and characterization of biomolecules sedimentation, ultra-centrifugation, diffusion, osmosis, viscosity, polarization and electrophoresis, chromatography; Fibre physics; Basic spectroscopic techniques, Chlorophyll fluorescence; Applications of electromagnetic field in agriculture; Nanostructures, Properties and characterization of nanomaterials; Nanoformulations, Nanobiology, hazards of nanomaterials; Application of nanotechnology in agriculture.

Unit 6: Remote Sensing
Principles of remote sensing, remote sensing systems - active and passive, sensors and platforms; Imaging and non-imaging systems; satellite characteristics, spatial, spectral, radiometric and temporal resolutions, multispectral, hyperspectral, thermal and microwave remote sensing; spectral signatures of natural targets and its physical basis, spectral indices;; Air borne remote sensing; Digital image processing; - formats, pre-processing, enhancement, classification; National and International satellite systems for land, weather, ocean and other observations; Applications of remote sensing in agriculture and natural resource management; - crop acreage, crop yield, irrigation management, soil type and properties, abiotic/biotic stress in crops, precision agriculture, soil and water conservation and watershed management, management of degraded, waterlogged and other problematic soils.

Unit 7: Geo-informatics
Principles and concepts: Hardware and software requirements; Geographic information system (GIS) -Definition, components; Maps and projections, principles of cartography; Basic geodesy: Geoid /Datum/Ellipsoid; Projections and coordinate systems, types and scales; Accuracy of maps; Raster and Vector data models; DBMS and RDBMS; Geostatistical analyses; Spatial interpolation - Thiessen polygon; Inverse square distance; , Kriging; Digital Elevation Model; Different spatial analysis and modelling; Principles of GPS, DGPS; Errors in GPS data and correction; GPS constellations; Geoinformatics applications in agriculture and natural resource management.

Unit 8: Atmospheric physics
Weather and climate: atmosphere and its constituents; Meteorological elements and their measurements; Heat balance of the earth and atmosphere; Climatic classification systems; Climatology of India, agro-ecological regions; Monsoon, western disturbances, cyclones, droughts; Wind system, precipitation, cloud, pressure pattern; Atmospheric stability; Weather forecasting: numerical weather prediction; El Nino, La Nina and ENSO; Greenhouse gases, Global warming, and climate change; Impacts, adaptation and mitigation of climate change in agriculture; Physiological response of crop plants to weather (light, temperature, CO2, moisture and solar radiation); Heat units, thermal time and thermal use-efficiency and their applications; Micro-, meso- and macro-climates; Modification of microclimate; Exchange of mass, momentum and energy between surface and atmosphere, exchange coefficients; Richardson number & Reynolds’ analogy; Boundary layer; Eddy covariance techniques; Wind profile; Radiation distribution within plant canopy; Air pollution, classification and sources of air pollutants, their effects on crops, Air Quality Index. Role of surface albedo, photo-chemical pollution and aerosols in modifying micro-climate, Boundary layer; Ozone pollution and climate change. Concept of evapotranspiration: potential, reference and actual evapotranspiration, crop coefficient; measurement of evapotranspiration. Energy balance of land surfaces;

Unit 9: Mathematical modelling and Data Analytics
Applications of matrices, determinants, differentiation and integration; Numerical modelling: finite difference and finite element; Iterative technique, Fourier analysis, Infinite series and Taylor series; Probability, probability distribution and applications in agriculture; Measures of central tendency and dispersion; correlation and regression, Spatial statistics: Variogram and interpolation techniques; Analysis of Variance (ANOVA) and Covariance; Statistical Design of Agricultural Experiments ; Test of Significance (t-Test, F test, Chi-square test). Surface modelling; Fundamentals of dynamic simulation, systems, models and simulation; Mechanistic, stochastic and deterministic models; Model calibration, validation and sensitivity analysis; Simulation models for water, heat, and solute movement in two- and three dimensional porous media; Modelling root water uptake; Crop weather models and its use in crop yield estimation; Advantage and limitations of modelling.

Student's Feedback

(4)

I find its excellent. I appreciate publishing enriching students' knowledge for them to stand out in any competitive exam.

Ashish Singh

(4)

Very informative and course oriented, which benefits all students and those preparing for competitive exams.

Shailesh Kumar

(3)

Best material to inspire many young people who are trying their hardest in competitive exams.

Ajay Mehra

(4)

I've been searching for something like this for a long time. They stand out among others. The author appears to have done extensive research. Students and parents should buy it. It's worth reading.

Satish Kumar

(5)

I've been finding it hard to improve my learning style to use my study time best. There content is exceptionally well written and researched to provide tools and realistic approaches I can now use for the rest of my life. It was fantastic!

Sourav Sinha

(4)

very nice

KAVITA ADHIKARI

(1)

KUSHAL H R

(4)

Sumit Jain

(4)

Pandhiri Kruparani

(3)

ADARSHA B S

(2)

MALLAMMA

(4)

SANKARA ANUSHA

(5)

Mohit Shalikram Janbandhu

(3)

SAKLAIN MUSTHAQ

(4)

Dhanushree HK

(1)

Alok Sahu

(4)

Guptnath Trivedi

(5)

Prafulla Kumar Paul

(4)

Dola sireesha Vanaparthi

(3)

J M KAVANA
Payment Methods