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 …

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 …

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 …

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 …

In agriculture, AI is bringing about a revolution by replacing traditional methods with more
efficient ones and thereby contributing to a better world. Artificial Intelligence and machine …

Plant diseases have a significant impact on the economy and a threat to global food security.
Deep learning is an emerging technology and it can be applicable in various domains such …

Agriculture supplies food for all people even in cases of fast population growth. Plant
diseases are hostile elements that significantly reduce crop quality and yield. Observing …