Precision Agriculture and Modern Farming Technologies MCQs 2026

76 questions with detailed answers · 0 from past papers · 8 quiz batches available

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Page 1 of 1 Questions 110 of 76
  1. Q1 medium

    Cost-benefit analysis before adopting precision tools is important because:

    1. A All technologies are always profitable on every farm
    2. B Returns depend on field variability, farm size, crop value, and management capacity
    3. C No training or maintenance is ever required
    4. D Input savings are guaranteed without data quality
    💡 Explanation:

    Economic value varies by context, so investment should be matched to farm conditions and capability.

  2. Q2 medium

    A cybersecurity concern in connected farming systems is:

    1. A Unauthorized access to or manipulation of farm data and equipment
    2. B Improved backup of all records
    3. C Better calibration of soil sensors
    4. D Higher biological nitrogen fixation directly
    💡 Explanation:

    Connected devices and platforms require protection against data theft, tampering, and service disruption.

  3. Q3 medium

    API integration between farm software platforms is important because it:

    1. A Blocks all data movement permanently
    2. B Replaces agronomy with guesswork
    3. C Changes crop species automatically
    4. D Allows data exchange between equipment, sensors, and management systems
    💡 Explanation:

    APIs let different digital tools communicate, reducing duplicate data entry and improving workflows.

  4. Q4 medium

    Edge computing in smart farming means:

    1. A Moving all farms to city edges
    2. B Using only paper notebooks at field borders
    3. C Processing sensor data near the source before sending selected data onward
    4. D Stopping sensors from collecting data
    💡 Explanation:

    Edge processing can reduce latency, bandwidth needs, and dependence on continuous connectivity.

  5. Q5 medium

    A digital elevation model is useful in farm planning because it helps analyze:

    1. A Seed color and taste
    2. B Slope, drainage patterns, water flow, and land leveling needs
    3. C Fertilizer brand popularity
    4. D Animal breed names only
    💡 Explanation:

    Elevation data support drainage design, erosion assessment, and irrigation layout.

  6. Q6 medium

    Variable-rate pesticide application can reduce chemical use by:

    1. A Treating pest or weed hotspots instead of spraying uniformly everywhere
    2. B Increasing dose in all areas regardless of need
    3. C Removing pest monitoring from the system
    4. D Applying chemicals only after crop harvest
    💡 Explanation:

    Site-specific application targets areas requiring control and avoids unnecessary treatment.

  7. Q7 medium

    Before using combine yield maps for decisions, the data should be:

    1. A Ignored because maps are never useful
    2. B Converted to handwritten notes only
    3. C Mixed with random numbers to hide variation
    4. D Calibrated and cleaned to remove errors and outliers
    💡 Explanation:

    Yield data often contain errors from delays, overlaps, calibration, and edge effects that must be cleaned.

  8. Q8 medium

    A management zone in precision farming is best defined as:

    1. A A random area selected without data
    2. B Only the farm office building
    3. C A field area with similar soil, yield, or management characteristics
    4. D A legal district unrelated to field variability
    💡 Explanation:

    Zones group areas expected to respond similarly to inputs or management.

  9. Q9 medium

    Differential GPS improves positioning by:

    1. A Removing all satellites from navigation
    2. B Using correction data from a reference station or network
    3. C Estimating position from soil color only
    4. D Disabling receivers during field operations
    💡 Explanation:

    DGPS corrects common errors using known reference locations.

  10. Q10 medium

    A soil moisture sensor for irrigation scheduling should generally be installed:

    1. A Within the active crop root zone at representative field locations
    2. B On the tractor roof away from soil
    3. C Inside a sealed plastic bag above ground
    4. D Only in the driest corner regardless of crop area
    💡 Explanation:

    Representative root-zone placement gives meaningful readings for crop water availability.

  11. Q11 medium

    An electronic rate controller on an applicator is used to:

    1. A Make all nozzles different sizes randomly
    2. B Prevent calibration of flow meters
    3. C Convert pesticides into seed
    4. D Maintain the target application rate despite speed changes
    💡 Explanation:

    Rate controllers adjust flow in response to speed and prescription to deliver the intended rate.

  12. Q12 medium

    Hyperspectral sensing differs from multispectral sensing because it:

    1. A Uses only one broad visible band
    2. B Cannot be used for vegetation studies
    3. C Captures many narrow, contiguous spectral bands
    4. D Measures only machine fuel consumption
    💡 Explanation:

    Hyperspectral data provide detailed spectral signatures that may distinguish subtle crop or soil conditions.

  13. Q13 medium

    Cloud-based farm platforms are useful because they:

    1. A Eliminate the need for data quality checks
    2. B Store, analyze, and share farm data across devices and users
    3. C Work only without internet at all times
    4. D Change soil type instantly
    💡 Explanation:

    Cloud systems support data access, collaboration, analytics, and backup.

  14. Q14 medium

    A smart greenhouse controller typically regulates:

    1. A Temperature, humidity, ventilation, irrigation, and sometimes CO2
    2. B Only the color of the greenhouse frame
    3. C Market price of vegetables directly
    4. D The legal land title of the farm
    💡 Explanation:

    Sensors and controllers maintain greenhouse microclimate and irrigation within target ranges.

  15. Q15 medium

    Blockchain is proposed in agri-food systems mainly to improve:

    1. A Soil aeration by mechanical tillage
    2. B Photosynthesis rate directly in the leaf
    3. C Seed germination without moisture
    4. D Tamper-resistant traceability and transaction records
    💡 Explanation:

    Distributed ledgers can support transparent records across supply chains.

  16. Q16 medium

    Computer vision for pest detection relies on:

    1. A Smelling leaves manually without records
    2. B Increasing pesticide concentration randomly
    3. C Image recognition and classification of symptoms or insects
    4. D Ignoring all visual field data
    💡 Explanation:

    Computer vision models analyze images to identify pests, diseases, or damage symptoms.

  17. Q17 medium

    Variable-rate fertigation means:

    1. A Applying the same fertilizer dose by hand everywhere
    2. B Applying nutrients through irrigation at rates matched to zones or crop need
    3. C Using fertilizer only after harvest
    4. D Removing all irrigation equipment from the field
    💡 Explanation:

    Fertigation can be controlled spatially and temporally to improve nutrient and water efficiency.

  18. Q18 medium

    Telemetry in agricultural machinery refers to:

    1. A Remote transmission of machine location, performance, or sensor data
    2. B Manual counting of seeds in a tray
    3. C Deep ploughing without guidance
    4. D Traditional threshing by animal power only
    💡 Explanation:

    Telemetry sends equipment data to managers or platforms for monitoring and decisions.

  19. Q19 medium

    A practical challenge for IoT adoption on many rural farms is:

    1. A Too much rainfall caused by sensors
    2. B Guaranteed zero equipment cost
    3. C No need for any calibration
    4. D Limited connectivity, power supply, maintenance, and data skills
    💡 Explanation:

    Reliable networks, power, maintenance, and user capacity are essential for IoT systems.

  20. Q20 medium

    A good UAV flight plan for mapping should consider:

    1. A Only the color of the drone
    2. B Flying without batteries to save weight
    3. C Image overlap, altitude, wind conditions, and desired ground sampling distance
    4. D Ignoring legal and safety restrictions
    💡 Explanation:

    Flight parameters determine map quality, safety, and spatial resolution.

  21. Q21 medium

    NDWI is commonly used in crop monitoring to assess:

    1. A Only soil nitrogen mineralization
    2. B Vegetation water content or moisture-related stress
    3. C Number of insects per leaf with certainty
    4. D Grain taste after milling
    💡 Explanation:

    Water-related spectral indices help detect plant moisture status and stress.

  22. Q22 medium

    Spatial interpolation of soil sample results is used to:

    1. A Estimate values between sampled points and create continuous maps
    2. B Destroy the original laboratory data
    3. C Convert soil texture into rainfall data
    4. D Avoid all sampling and calibration forever
    💡 Explanation:

    Interpolation methods such as kriging or inverse distance weighting estimate unsampled locations from nearby samples.

  23. Q23 medium

    Laser land leveling improves irrigation performance by:

    1. A Making the field deliberately uneven
    2. B Reducing infiltration to zero
    3. C Replacing all irrigation scheduling decisions
    4. D Creating a uniform field grade for even water distribution
    💡 Explanation:

    Laser leveling reduces high and low spots, improving distribution uniformity and water savings.

  24. Q24 medium

    Controlled traffic farming is a system in which:

    1. A All traffic is moved randomly across the field
    2. B Animals are banned from all farms
    3. C Machinery wheels travel on fixed lanes to limit soil compaction
    4. D Every crop is harvested by hand only
    💡 Explanation:

    Keeping machinery on permanent traffic lanes confines compaction and protects crop beds.

  25. Q25 medium

    Robotic weeders commonly distinguish crop plants from weeds using:

    1. A Random movement without sensing
    2. B Cameras, sensors, and image-analysis algorithms
    3. C Only manual paper maps from previous decades
    4. D No power source or control system
    💡 Explanation:

    Machine vision and AI help robotic systems detect plants and target weeds precisely.

  26. Q26 medium

    Use of RFID, barcode, or QR systems in agricultural supply chains mainly improves:

    1. A Traceability from production to marketing
    2. B Soil tilth without field operations
    3. C Rainfall amount during dry months
    4. D Chlorophyll synthesis inside leaves
    💡 Explanation:

    Identification technologies link products to records, improving tracking and accountability.

  27. Q27 medium

    Machine learning is useful in agriculture because it can:

    1. A Guarantee perfect weather forecasts without data
    2. B Replace all sensors with paper records
    3. C Detect patterns in large datasets for yield, disease, or management prediction
    4. D Increase fertilizer response by magic
    💡 Explanation:

    Machine learning models learn relationships from historical and sensor data for prediction or classification.

  28. Q28 medium

    Thermal imagery can indicate crop water stress because stressed plants often have:

    1. A No leaves visible in any image
    2. B Higher canopy temperature due to reduced transpiration cooling
    3. C Exactly the same temperature as irrigation water
    4. D Lower temperature caused by increased transpiration under severe stress always
    💡 Explanation:

    Water-stressed crops close stomata, reducing evaporative cooling and raising canopy temperature.

  29. Q29 medium

    Ground control points in drone mapping are used to:

    1. A Improve georeferencing accuracy of orthomosaics and maps
    2. B Increase pest resistance genetically
    3. C Block satellite signals over the field
    4. D Make images intentionally blurry
    💡 Explanation:

    Accurately surveyed ground points help align drone imagery to real-world coordinates.

  30. Q30 medium

    A farm management information system mainly provides:

    1. A Only a mechanical ploughing service
    2. B A substitute for all field observations
    3. C Guaranteed rainfall during drought
    4. D Digital record keeping and integration of farm operations and data
    💡 Explanation:

    FMIS platforms organize inputs, field operations, costs, maps, and compliance records.

  31. Q31 medium

    Variable-rate seeding decisions are commonly based on:

    1. A The number of shops in the nearby town
    2. B Only the color of the seed bag
    3. C Soil productivity zones, yield goals, and plant population response
    4. D The operator height and age
    💡 Explanation:

    Seeding rate can be adjusted by zones where soil and yield potential differ.

  32. Q32 medium

    Smart irrigation scheduling is often based on:

    1. A The color of tractor paint only
    2. B Evapotranspiration, soil moisture, crop stage, and weather forecasts
    3. C Fixed flooding every day regardless of need
    4. D Market price of pesticide only
    💡 Explanation:

    Scheduling water according to crop demand and soil water status improves water-use efficiency.

  33. Q33 medium

    A common limitation of optical satellite imagery for crop monitoring is:

    1. A Cloud cover and revisit interval can delay usable images
    2. B It can only work underground
    3. C It always measures yield perfectly without calibration
    4. D It cannot detect reflected light
    💡 Explanation:

    Clouds can block optical sensors, and satellite revisit frequency affects timeliness.

  34. Q34 medium

    Automatic section control on a sprayer helps reduce:

    1. A Seed germination percentage in a lab test
    2. B The need to clean spray nozzles forever
    3. C All wind drift under every condition
    4. D Overlap and over-application at headlands and irregular field edges
    💡 Explanation:

    Section control turns boom sections on or off based on location to avoid double application.

  35. Q35 medium

    Active optical crop sensors such as GreenSeeker are commonly used for:

    1. A Measuring tractor tyre pressure only
    2. B Killing weeds by heat alone
    3. C In-season nitrogen management based on crop vigor
    4. D Replacing all satellite navigation systems
    💡 Explanation:

    Optical sensors estimate canopy vigor and can guide nitrogen rates during crop growth.

  36. Q36 medium

    LiDAR is especially useful in modern farming for mapping:

    1. A Protein sequence of every crop variety
    2. B Elevation, canopy height, and three-dimensional structure
    3. C Soil pH without calibration in all cases
    4. D Fertilizer price changes in markets
    💡 Explanation:

    LiDAR uses laser pulses to measure distance and create detailed elevation or structure models.

  37. Q37 medium

    An agricultural decision support system is designed to:

    1. A Combine data and models to recommend management actions
    2. B Replace all farmer judgement with random choices
    3. C Increase soil erosion on slopes
    4. D Measure rainfall without any data input
    💡 Explanation:

    Decision support tools use rules, models, and datasets to guide agronomic decisions.

  38. Q38 medium

    An IoT-based irrigation system commonly uses sensors to provide:

    1. A Manual paper maps only after harvest
    2. B Synthetic seed treatment in the soil
    3. C Permanent immunity from drought
    4. D Real-time soil moisture, weather, or flow data for scheduling
    💡 Explanation:

    Internet-connected sensors can transmit field conditions for timely irrigation decisions.

  39. Q39 medium

    A prescription map in precision agriculture tells equipment:

    1. A Which crop should be eaten by livestock first
    2. B How to change rainfall amount over the farm
    3. C What input rate to apply at each location or management zone
    4. D How to remove GPS receivers from tractors
    💡 Explanation:

    Prescription maps translate spatial analysis into machine-readable input application instructions.

  40. Q40 medium

    Soil electrical conductivity mapping is often used to indicate variation in:

    1. A Flower color only
    2. B Texture, salinity, moisture, or other soil properties
    3. C Tractor fuel brand
    4. D Seed bag printing quality
    💡 Explanation:

    EC sensors help identify soil zones that may differ in water-holding capacity, salts, or texture.

  41. Q41 medium

    The main advantage of RTK-GPS over ordinary handheld GPS is:

    1. A Centimeter-level positional accuracy using correction signals
    2. B Ability to kill insects without spraying
    3. C Lower accuracy for all field operations
    4. D No requirement for satellites
    💡 Explanation:

    RTK uses a base station or network corrections to greatly improve positioning accuracy.

  42. Q42 medium

    Automatic steering guidance in tractors mainly reduces:

    1. A Seed viability in storage
    2. B Photosynthesis in healthy plants
    3. C Accuracy of field operations
    4. D Overlaps, skips, operator fatigue, and input wastage
    💡 Explanation:

    Guidance systems keep implements on planned tracks, improving field efficiency and uniformity.

  43. Q43 medium

    Multispectral drone imagery can help detect:

    1. A The exact taste of harvested grain
    2. B The legal ownership of all farm machinery
    3. C Crop stress patterns before they are clearly visible to the eye
    4. D The price of fertilizer next year with certainty
    💡 Explanation:

    Spectral bands can reveal changes in vigor, chlorophyll, and canopy condition early.

  44. Q44 medium

    Remote sensing in agriculture means obtaining crop or soil information:

    1. A Only by digging soil pits in every square meter
    2. B Without direct physical contact, using sensors on satellites, aircraft, or drones
    3. C Only after harvesting and threshing the crop
    4. D By asking markets to estimate plant height
    💡 Explanation:

    Remote sensing measures reflected or emitted energy to infer crop and soil conditions.

  45. Q45 medium

    Ultrasonic sensors on modern sprayers are often used to:

    1. A Measure protein content inside seeds directly
    2. B Replace all nozzle calibration
    3. C Identify every weed species by smell
    4. D Maintain boom height above the crop or soil surface
    💡 Explanation:

    Ultrasonic distance sensors help keep spray booms at a consistent height for uniform coverage.

  46. Q46 medium

    A yield monitor on a combine harvester is used to:

    1. A Measure and map crop yield variation during harvesting
    2. B Sterilize grain before storage
    3. C Automatically change crop species in the field
    4. D Remove the need for all weighing systems
    💡 Explanation:

    Yield monitors link flow and location data to produce yield maps for management decisions.

  47. Q47 medium

    NDVI is commonly derived from which spectral bands?

    1. A Thermal and microwave sound only
    2. B Blue and ultraviolet sound waves
    3. C Gamma rays and X-rays
    4. D Near-infrared and red reflectance
    💡 Explanation:

    NDVI uses the contrast between high near-infrared and low red reflectance of healthy vegetation.

  48. Q48 medium

    Variable-rate technology allows a farmer to:

    1. A Apply the same input rate everywhere regardless of variation
    2. B Eliminate calibration of machines
    3. C Apply inputs at different rates according to site-specific need
    4. D Use only manual broadcasting in all fields
    💡 Explanation:

    VRT adjusts seed, fertilizer, pesticide, or water rates based on prescription maps or sensors.

  49. Q49 medium

    A geographic information system in farming is primarily used for:

    1. A Increasing tractor horsepower mechanically
    2. B Storing, analyzing, and displaying spatial layers of field data
    3. C Changing seed genetics during planting
    4. D Measuring milk fat without instruments
    💡 Explanation:

    GIS integrates maps such as soil, yield, irrigation, and pest layers for spatial decisions.

  50. Q50 medium

    In precision agriculture, GPS is used mainly to:

    1. A Georeference field operations and record exact locations
    2. B Measure seed germination inside a laboratory
    3. C Replace all soil testing procedures
    4. D Convert organic matter directly into fertilizer
    💡 Explanation:

    GPS provides location data needed for mapping, guidance, and site-specific management.

  51. Q51 medium

    Use of RFID, barcode, or QR systems in agricultural supply chains mainly improves:

    1. A Traceability from production to marketing
    2. B Soil tilth without field operations
    3. C Rainfall amount during dry months
    4. D Chlorophyll synthesis inside leaves
    💡 Explanation:

    Identification technologies link products to records, improving tracking and accountability.

  52. Q52 medium

    Robotic weeders commonly distinguish crop plants from weeds using:

    1. A Random movement without sensing
    2. B Cameras, sensors, and image-analysis algorithms
    3. C Only manual paper maps from previous decades
    4. D No power source or control system
    💡 Explanation:

    Machine vision and AI help robotic systems detect plants and target weeds precisely.

  53. Q53 medium

    Controlled traffic farming is a system in which:

    1. A All traffic is moved randomly across the field
    2. B Animals are banned from all farms
    3. C Machinery wheels travel on fixed lanes to limit soil compaction
    4. D Every crop is harvested by hand only
    💡 Explanation:

    Keeping machinery on permanent traffic lanes confines compaction and protects crop beds.

  54. Q54 medium

    Laser land leveling improves irrigation performance by:

    1. A Making the field deliberately uneven
    2. B Reducing infiltration to zero
    3. C Replacing all irrigation scheduling decisions
    4. D Creating a uniform field grade for even water distribution
    💡 Explanation:

    Laser leveling reduces high and low spots, improving distribution uniformity and water savings.

  55. Q55 medium

    Spatial interpolation of soil sample results is used to:

    1. A Estimate values between sampled points and create continuous maps
    2. B Destroy the original laboratory data
    3. C Convert soil texture into rainfall data
    4. D Avoid all sampling and calibration forever
    💡 Explanation:

    Interpolation methods such as kriging or inverse distance weighting estimate unsampled locations from nearby samples.

  56. Q56 medium

    NDWI is commonly used in crop monitoring to assess:

    1. A Only soil nitrogen mineralization
    2. B Vegetation water content or moisture-related stress
    3. C Number of insects per leaf with certainty
    4. D Grain taste after milling
    💡 Explanation:

    Water-related spectral indices help detect plant moisture status and stress.

  57. Q57 medium

    A good UAV flight plan for mapping should consider:

    1. A Only the color of the drone
    2. B Flying without batteries to save weight
    3. C Image overlap, altitude, wind conditions, and desired ground sampling distance
    4. D Ignoring legal and safety restrictions
    💡 Explanation:

    Flight parameters determine map quality, safety, and spatial resolution.

  58. Q58 medium

    A practical challenge for IoT adoption on many rural farms is:

    1. A Too much rainfall caused by sensors
    2. B Guaranteed zero equipment cost
    3. C No need for any calibration
    4. D Limited connectivity, power supply, maintenance, and data skills
    💡 Explanation:

    Reliable networks, power, maintenance, and user capacity are essential for IoT systems.

  59. Q59 medium

    Telemetry in agricultural machinery refers to:

    1. A Remote transmission of machine location, performance, or sensor data
    2. B Manual counting of seeds in a tray
    3. C Deep ploughing without guidance
    4. D Traditional threshing by animal power only
    💡 Explanation:

    Telemetry sends equipment data to managers or platforms for monitoring and decisions.

  60. Q60 medium

    Variable-rate fertigation means:

    1. A Applying the same fertilizer dose by hand everywhere
    2. B Applying nutrients through irrigation at rates matched to zones or crop need
    3. C Using fertilizer only after harvest
    4. D Removing all irrigation equipment from the field
    💡 Explanation:

    Fertigation can be controlled spatially and temporally to improve nutrient and water efficiency.

  61. Q61 medium

    Computer vision for pest detection relies on:

    1. A Smelling leaves manually without records
    2. B Increasing pesticide concentration randomly
    3. C Image recognition and classification of symptoms or insects
    4. D Ignoring all visual field data
    💡 Explanation:

    Computer vision models analyze images to identify pests, diseases, or damage symptoms.

  62. Q62 medium

    Blockchain is proposed in agri-food systems mainly to improve:

    1. A Soil aeration by mechanical tillage
    2. B Photosynthesis rate directly in the leaf
    3. C Seed germination without moisture
    4. D Tamper-resistant traceability and transaction records
    💡 Explanation:

    Distributed ledgers can support transparent records across supply chains.

  63. Q63 medium

    A smart greenhouse controller typically regulates:

    1. A Temperature, humidity, ventilation, irrigation, and sometimes CO2
    2. B Only the color of the greenhouse frame
    3. C Market price of vegetables directly
    4. D The legal land title of the farm
    💡 Explanation:

    Sensors and controllers maintain greenhouse microclimate and irrigation within target ranges.

  64. Q64 medium

    Cloud-based farm platforms are useful because they:

    1. A Eliminate the need for data quality checks
    2. B Store, analyze, and share farm data across devices and users
    3. C Work only without internet at all times
    4. D Change soil type instantly
    💡 Explanation:

    Cloud systems support data access, collaboration, analytics, and backup.

  65. Q65 medium

    Hyperspectral sensing differs from multispectral sensing because it:

    1. A Uses only one broad visible band
    2. B Cannot be used for vegetation studies
    3. C Captures many narrow, contiguous spectral bands
    4. D Measures only machine fuel consumption
    💡 Explanation:

    Hyperspectral data provide detailed spectral signatures that may distinguish subtle crop or soil conditions.

  66. Q66 medium

    An electronic rate controller on an applicator is used to:

    1. A Make all nozzles different sizes randomly
    2. B Prevent calibration of flow meters
    3. C Convert pesticides into seed
    4. D Maintain the target application rate despite speed changes
    💡 Explanation:

    Rate controllers adjust flow in response to speed and prescription to deliver the intended rate.

  67. Q67 medium

    A soil moisture sensor for irrigation scheduling should generally be installed:

    1. A Within the active crop root zone at representative field locations
    2. B On the tractor roof away from soil
    3. C Inside a sealed plastic bag above ground
    4. D Only in the driest corner regardless of crop area
    💡 Explanation:

    Representative root-zone placement gives meaningful readings for crop water availability.

  68. Q68 medium

    Differential GPS improves positioning by:

    1. A Removing all satellites from navigation
    2. B Using correction data from a reference station or network
    3. C Estimating position from soil color only
    4. D Disabling receivers during field operations
    💡 Explanation:

    DGPS corrects common errors using known reference locations.

  69. Q69 medium

    A management zone in precision farming is best defined as:

    1. A A random area selected without data
    2. B Only the farm office building
    3. C A field area with similar soil, yield, or management characteristics
    4. D A legal district unrelated to field variability
    💡 Explanation:

    Zones group areas expected to respond similarly to inputs or management.

  70. Q70 medium

    Before using combine yield maps for decisions, the data should be:

    1. A Ignored because maps are never useful
    2. B Converted to handwritten notes only
    3. C Mixed with random numbers to hide variation
    4. D Calibrated and cleaned to remove errors and outliers
    💡 Explanation:

    Yield data often contain errors from delays, overlaps, calibration, and edge effects that must be cleaned.

  71. Q71 medium

    Variable-rate pesticide application can reduce chemical use by:

    1. A Treating pest or weed hotspots instead of spraying uniformly everywhere
    2. B Increasing dose in all areas regardless of need
    3. C Removing pest monitoring from the system
    4. D Applying chemicals only after crop harvest
    💡 Explanation:

    Site-specific application targets areas requiring control and avoids unnecessary treatment.

  72. Q72 medium

    A digital elevation model is useful in farm planning because it helps analyze:

    1. A Seed color and taste
    2. B Slope, drainage patterns, water flow, and land leveling needs
    3. C Fertilizer brand popularity
    4. D Animal breed names only
    💡 Explanation:

    Elevation data support drainage design, erosion assessment, and irrigation layout.

  73. Q73 medium

    Edge computing in smart farming means:

    1. A Moving all farms to city edges
    2. B Using only paper notebooks at field borders
    3. C Processing sensor data near the source before sending selected data onward
    4. D Stopping sensors from collecting data
    💡 Explanation:

    Edge processing can reduce latency, bandwidth needs, and dependence on continuous connectivity.

  74. Q74 medium

    API integration between farm software platforms is important because it:

    1. A Blocks all data movement permanently
    2. B Replaces agronomy with guesswork
    3. C Changes crop species automatically
    4. D Allows data exchange between equipment, sensors, and management systems
    💡 Explanation:

    APIs let different digital tools communicate, reducing duplicate data entry and improving workflows.

  75. Q75 medium

    A cybersecurity concern in connected farming systems is:

    1. A Unauthorized access to or manipulation of farm data and equipment
    2. B Improved backup of all records
    3. C Better calibration of soil sensors
    4. D Higher biological nitrogen fixation directly
    💡 Explanation:

    Connected devices and platforms require protection against data theft, tampering, and service disruption.

  76. Q76 medium

    Cost-benefit analysis before adopting precision tools is important because:

    1. A All technologies are always profitable on every farm
    2. B Returns depend on field variability, farm size, crop value, and management capacity
    3. C No training or maintenance is ever required
    4. D Input savings are guaranteed without data quality
    💡 Explanation:

    Economic value varies by context, so investment should be matched to farm conditions and capability.