Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 27, 2024Remote SensingOpen Access

AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application

View Full Paper
Ask AI
Bookmark
Share

Authors

PYPappu Kumar YadavJTJ. Alex ThomassonRHRobert G. Hardin

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Yadav et al. (2024) studied this question.

synapsesocial.com/papers/68e5ed4cb6db643587581ed8https://doi.org/10.3390/rs16152754
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Detection and Precision Application Path Planning for Cotton Spider Mite Based on UAV Multispectral Remote Sensing2026
  2. 2UAV-based real-time detection of corn earworm using EfficientNet and machine learning2026
  3. 3GVC-YOLO: A Lightweight Real-Time Detection Method for Cotton Aphid-Damaged Leaves Based on Edge Computing2024 · 28 citations
  4. 4Development of an early detection and automatic targeting system for cotton weeds using an improved lightweight YOLOv8 architecture on an edge device2024 · 62 citations
  5. 5Multi-Altitude Corn Tassel Detection and Counting Based on UAV RGB Imagery and Deep Learning2024 · 17 citations