Idanwo ti o sopọ mọ itọsọna · Alabọde Ipele

AI ni konge Agriculture adanwo

Review how crop imagery and field data guide variable-rate inputs, targeted weed treatment, and local decisions when farm connectivity is limited.

Jẹmọ itọsọna awọn ọnaAI Ni konge Agriculture
Ibeere 1 ti 8

Which four spectral bands are typically included in USDA Farm Service Agency four-band imagery?

Awotẹlẹ gbogbo ibeere8 ibeere

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

  1. Which four spectral bands are typically included in USDA Farm Service Agency four-band imagery?
    • Red, green, blue and near-infrared
    • Ultraviolet, X-ray, thermal and radar
    • Only red and near-infrared
    • Blue, ultraviolet, microwave and lidar
  2. Bawo ni John Deere's See & Spray ṣe dinku lilo egboigi?
    • Nipa sisọ gbogbo aaye ni iṣọkan
    • Nipa lilo iran kọmputa lati fun sokiri awọn èpo ti a rii nikan
    • Nipa idinamọ gbogbo herbicides
    • Nipa spraying nikan ni alẹ
  3. Kini 'imọ-ẹrọ oṣuwọn-ayipada' ni iṣẹ-ogbin deede?
    • Gbigba agbara awọn agbe ni idiyele oriṣiriṣi fun awọn irugbin
    • Yiyipada iyara tirakito laileto
    • Nfi awọn oye oriṣiriṣi ti awọn igbewọle si awọn agbegbe agbegbe oriṣiriṣi
    • Iru iṣeduro irugbin na
  4. Which model architecture did the cited 2025 crop-weed paper evaluate for edge weed detection?
    • A speech-recognition Transformer
    • A rule-only spreadsheet parser
    • A large language model trained on contracts
    • A lightweight convolutional neural network
  5. In the USDA ERS 2023 report, variable-rate technology had been adopted on what share of planted acreage for winter wheat, cotton, sorghum and rice?
    • Between 5 and 25 percent
    • Less than 1 percent for every crop
    • Between 50 and 75 percent
    • All planted acreage
  6. What did the cited USDA precision-farming field study report about yield patterns across years?
    • Yield patterns were identical every year
    • Yield patterns changed yearly and had little similarity between years
    • All management zones produced the same yield
    • AI consistently improved yield in every zone
  7. How is NDVI commonly calculated from red and near-infrared reflectance?
    • Red plus blue divided by soil moisture
    • Thermal radiation minus wind speed
    • Near-infrared minus red, divided by their sum
    • Plant height multiplied by fertilizer rate
  8. Why can variable-rate technology use input maps instead of a single field-wide rate?
    • Every part of a field has identical needs
    • Maps eliminate the need for agronomic decisions
    • The system changes crop genetics while spraying
    • Soil and crop conditions can vary across zones within a field