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 …

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 …

Plant stress is one of major issues that cause significant economic loss for growers. The
labor-intensive conventional methods for identifying the stressed plants constrain their …

The use of deep networks in agriculture has increased enormously in the last decade
including their use to classify different plant leaf stresses. More recently, a large number of …

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 …

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 …

Plant Stress detection is a vital farming activity for enhanced productivity of crops and food
security. Convolution Neural Networks (CNN) focuses on the complex relationships on input …

Deep Learning (DL), a type of Machine Learning, has gained significant interest in many
fields, including agriculture. This paper aims to shed light on deep learning techniques used …

Plant stress identification is one of the critical tasks to secure food availability for the future.
Stress in plants increases considerably due to changing environmental conditions. This …

The agriculture sector is no exception to the widespread usage of deep learning tools and
techniques. In this paper, an automated detection method on the basis of pre-trained …