Agriculture 2023 Paper I 50 marks Discuss

Q3

(a) Give the specific features of organic farming and natural farming. Briefly discuss the preparations and role of biodynamics and cow-pat pit in organic crop production. (20 marks) (b) Classify the agroforestry systems and explain in detail the importance of social forestry in Indian context. (20 marks) (c) Write about the various tools used in proximal and remote sensing. (10 marks)

हिंदी में प्रश्न पढ़ें

(a) जैविक खेती तथा प्राकृतिक खेती की विशिष्ट विशेषताएं बताइए। जैविक फसल उत्पादन में बायोडाइनैमिक्स और काऊ-पैट पिट बनाने तथा उनकी भूमिका का संक्षेप में विवरण दीजिए। (20 अंक) (b) कृषि वानिकी प्रणालियों को वर्गीकृत कीजिए और भारतीय संदर्भ में सामाजिक वानिकी के महत्व की विस्तार से व्याख्या कीजिए। (20 अंक) (c) समीपस्थ एवं सुदूर संवेदन में प्रयुक्त होने वाले विभिन्न उपकरणों के बारे में लिखिए। (10 अंक)

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Directive word: Discuss

This question asks you to discuss. The directive word signals the depth of analysis expected, the structure of your answer, and the weight of evidence you must bring.

See our UPSC directive words guide for a full breakdown of how to respond to each command word.

How this answer will be evaluated

Approach

The directive 'discuss' demands a balanced, analytical treatment with evidence across all three parts. Allocate approximately 40% of word budget to part (a) given its 20 marks, 40% to part (b), and 20% to part (c). Structure: brief introduction defining organic/natural farming → systematic treatment of (a) with comparisons and biodynamic preparations → (b) with classification table and social forestry analysis → (c) as concise enumeration with applications → conclusion linking to sustainable agriculture goals.

Key points expected

  • For (a): Distinguish organic farming (external inputs permitted, certified standards) from natural farming (Fukuoka method, zero external inputs, 'do-nothing' philosophy); explain biodynamic preparations (BD 500-508) and cow-pat pit preparation, fermentation process, and role in soil microbiome activation
  • For (b): Classify agroforestry systems by structure (agrisilviculture, silvopastoral, agrosilvopastoral) and function (productive, protective, social); detail social forestry importance for fuelwood, fodder, employment (especially women/tribals), wasteland reclamation, and carbon sequestration in Indian context
  • For (c): Distinguish proximal sensing (handheld sensors, chlorophyll meters, NDVI sensors, soil moisture probes) from remote sensing (satellite platforms like Landsat/Sentinel, UAVs/drones, spectral indices, GIS integration); mention specific applications in precision agriculture
  • Integration point: Link organic/natural farming with agroforestry for nutrient cycling and pest management; connect remote sensing tools to monitoring both systems
  • Indian examples: Mention Paramparagat Krishi Vikas Yojana (PKVY), National Mission on Sustainable Agriculture, Van Mahotsav, Joint Forest Management, and specific success stories like Sukhomajri or social forestry in Gujarat/Tamil Nadu
  • Critical perspective: Address challenges—organic farming yield gaps, social forestry conflicts with grazing rights, remote sensing cost barriers for small farmers

Evaluation rubric

DimensionWeightMax marksExcellentAveragePoor
Concept correctness25%12.5Precisely defines organic farming (IFOAM standards, NPOP certification) versus natural farming (Fukuoka, Palekar's Zero Budget Natural Farming); accurately describes BD preparations 500-508, cow-pat pit fermentation (6-month process with valerian, nettle, oak bark); correctly classifies agroforestry systems with Nair's structural-functional framework; distinguishes proximal (contact-based) from remote (non-contact) sensing with correct wavelength bandsBasic definitions correct but conflates organic/natural farming or omits key biodynamic preparations; agroforestry classification incomplete; sensing tools listed without functional distinctionConfuses organic with natural farming, misidentifies biodynamic preparations as mere compost, or describes agroforestry as only 'trees on farms' without systematics; fundamental errors in sensing technology
Quantitative reasoning15%7.5Cites specific data: India has ~2.8 million ha under organic farming (1.5% of agricultural area); 4.5 lakh farmers under PKVY; social forestry targets 33% forest cover; remote sensing resolution metrics (spatial, spectral, temporal); carbon sequestration rates in agroforestry (2-5 Mg C/ha/year); biodynamic preparation dilutions (BD 500 at 100g/ha in 13-16 litres water)Mentions general trends without specific figures or uses outdated statistics; vague references to 'increased productivity' or 'better resolution'No quantitative data or grossly incorrect figures; confuses units or makes unsupported claims about yield comparisons
Indian context examples25%12.5For (a): cites PKVY, Andhra Pradesh's ZBNF scale-up, Sikkim's organic state status, Bhaskar Save's Kalpavruksha farm; for (b): details Joint Forest Management (JFM) success in Gujarat (Sukhomajri model), Tamil Nadu's farm forestry, social forestry for NTFPs (tendu, bamboo); for (c): mentions ISRO's Bhuvan portal, National Remote Sensing Centre (NRSC), Kisan drones under Sub-Mission on Agricultural MechanizationGeneric references to 'government schemes' or 'some states' without specificity; mentions India but lacks concrete case studies or institutional namesNo Indian examples or inappropriate foreign case studies dominating; ignores sub-national diversity and policy specificities
Diagram / process20%10Includes: comparative table for organic vs. natural farming; flowchart of cow-pat pit preparation with layering sequence and fermentation timeline; classification diagram of agroforestry systems (Nair's 3D matrix: structure × function × ecological zone); schematic of proximal vs. remote sensing platforms with wavelength ranges; well-labelled process diagram for BD 500 horn manure preparationOne relevant diagram or table present but poorly labelled or incomplete; text descriptions substitute for visual representationNo diagrams despite clear scope; or diagrams with fundamental errors (e.g., confusing biodynamic with vermicompost process)
Policy / extension angle15%7.5Critically evaluates: PKVY's cluster approach and certification challenges; National Agroforestry Policy 2014 with bamboo liberation; FAO's Global Organic Agriculture initiative; PM-KISAN integration with natural farming; extension gaps in biodynamic training; digital agriculture through remote sensing for crop insurance (PMFBY) and soil health cards; suggests convergence of organic farming with agroforestry for climate resilienceLists policies without critical evaluation; mentions extension importance but lacks mechanism analysis; no forward-looking recommendationsPolicy vacuum or outdated references (pre-2010 schemes); ignores implementation challenges or farmer adoption barriers entirely

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