Background Abiotic stressors impair crop yields and growth potential. Despite recent
developments, no comprehensive literature review on crop abiotic stress assessment …

Efficient crop management and treatment rely on early detection of plant stress. Imaging
sensors provide a non-destructive and commonly used method for detecting stress in large …

Efficient and rational monitoring of plant health is an essential prerequisite for ensuring
optimal crop production and resource management in the field of agriculture. Computer …

Current approaches for accurate identification, classification, and quantification of biotic and
abiotic stresses in crop research and production are predominantly visual and require …

The agricultural sector faces increasing challenges in ensuring food security and optimizing
crop yield, necessitating innovative solutions for early detection and mitigation of plant …

For farmers, the variety of crop diseases and symptoms causes great difficulties in the
diagnosis of plant diseases. To address this problem, researchers have recently begun …

Farmers and breeders aim to improve crop responses to abiotic stresses and secure yield
under adverse environmental conditions. To achieve this goal and select the most resilient …

Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …

Integrating imaging sensors and artificial intelligence (AI) have contributed to detecting plant
stress symptoms, yet data analysis remains a key challenge. Data challenges include …

CONTEXT Paddy crop stress can significantly reduce the quality and quantity of agricultural
goods and severely affect food production safety. Untimely stress and inaccurate crop …