Application of computer vision in assessing crop abiotic stress: A systematic review.

ABSTRACT:

Background

Abiotic stressors impair crop yields and growth potential. Despite recent developments, no comprehensive literature review on crop abiotic stress assessment employing deep learning exists. Unlike conventional approaches, deep learning-based computer vision techniques can be employed in farming to offer a non-evasive and practical alternative.

Methods

We conducted a systematic review using the revised Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement to assemble the articles on the specified topic. We confined our scope to deep learning-related journal articles that focused on classifying crop abiotic stresses. To understand the current state, we evaluated articles published in the preceding ten years, beginning in 2012 and endin

SUBMITTER: Orka NA 

PROVIDER: S-EPMC10446212 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature