Opportunities for Robotic Systems and Automation in Cotton Production
Open Access
- 28 May 2021
- journal article
- editorial
- Published by MDPI AG in Agriengineering
- Vol. 3 (2), 339-362
- https://doi.org/10.3390/agriengineering3020023
Abstract
Automation continues to play a greater role in agricultural production with commercial systems now available for machine vision identification of weeds and other pests, autonomous weed control, and robotic harvesters for fruits and vegetables. The growing availability of autonomous machines in agriculture indicates that there are opportunities to increase automation in cotton production. This article considers how current and future advances in automation has, could, or will impact cotton production practices. The results are organized to follow the cotton production process from land preparation to planting to within season management through harvesting and ginning. For each step, current and potential opportunities to automate processes are discussed. Specific examples include advances in automated weed control and progress made in the use of robotic systems for cotton harvesting.Keywords
Funding Information
- Cotton Incorporated (17-029;18-369; 17-038; 18-732)
This publication has 41 references indexed in Scilit:
- Biology, Crop Injury, and Management of Thrips (Thysanoptera: Thripidae) Infesting Cotton Seedlings in the United StatesJournal of Integrated Pest Management, 2011
- Autonomous robotic weed control systems: A reviewComputers and Electronics in Agriculture, 2008
- Ground-based sensing system for weed mapping in cottonComputers and Electronics in Agriculture, 2008
- Remote Sensing of Cotton Nitrogen Status Using the Canopy Chlorophyll Content Index (CCCI)Transactions of the ASABE, 2008
- Agricultural technology and its societal implicationsTechnology in Society, 2004
- Better Opportunities or Worse? The Demise of Cotton Harvest Labor, 1949–1964The Journal of Economic History, 2003
- Opportunities and limitations for image-based remote sensing in precision crop managementRemote Sensing of Environment, 1997
- Soil Crusts and Cotton Emergence RelationshipsTransactions of the ASAE, 1982
- Canopy temperature as a crop water stress indicatorWater Resources Research, 1981
- Effects of Okra Leaf Shape on Boll Rot, Yield, and Other Important Characters of Upland Cotton, Gossypium hirsutum L. 1Crop Science, 1969