Automation and AI in US Agriculture: Revolutionising Farming through Smart Technologies and Farm Management Software

The US agricultural sector is undergoing a significant transformation driven by automation, artificial intelligence (AI), and smart technologies. These advancements fundamentally reshape traditional farming practices, enhance efficiency, and promote sustainability across various agricultural domains. This paper explores the integration of AI-driven technologies such as drones, sensors, farm management software, and robotics, which have revolutionised crop and livestock management by enabling real-time data acquisition, precision farming, and automated processes. Despite the numerous opportunities offered by these technologies, the agricultural industry faces significant challenges related to high implementation costs, technological accessibility, and the need for tailored training programs. Furthermore, the economic implications of adopting these technologies, including potential labour displacement and the necessity for new skill sets, are addressed. Through an analysis of current practices, this paper highlights the potential of AI and automation to improve productivity and environmental conservation while considering the social and economic hurdles that must be overcome to achieve widespread adoption.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-26
DOI
https://doi.org/10.5281/zenodo.13995208
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automation and AI in US Agriculture: Revolutionising Farming through Smart Technologies and Farm Management Software

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Automation and AI in US Agriculture: Revolutionising Farming through Smart Technologies and Farm Management Software

article en

Abstract

The US agricultural sector is undergoing a significant transformation driven by automation, artificial intelligence (AI), and smart technologies. These advancements fundamentally reshape traditional farming practices, enhance efficiency, and promote sustainability across various agricultural domains. This paper explores the integration of AI-driven technologies such as drones, sensors, farm management software, and robotics, which have revolutionised crop and livestock management by enabling real-time data acquisition, precision farming, and automated processes. Despite the numerous opportunities offered by these technologies, the agricultural industry faces significant challenges related to high implementation costs, technological accessibility, and the need for tailored training programs. Furthermore, the economic implications of adopting these technologies, including potential labour displacement and the necessity for new skill sets, are addressed. Through an analysis of current practices, this paper highlights the potential of AI and automation to improve productivity and environmental conservation while considering the social and economic hurdles that must be overcome to achieve widespread adoption.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 79%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automation and AI in US Agriculture: Revolutionising Farming through Smart Technologies and Farm Management Software · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS