Stress due to nutrients deficiency in plants can reduce the agricultural yield significantly.
Nitrogen, an essential nutrient, is a crucial growth-limiting factor and is the prime component …

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 …

Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

As compared with the traditional visual discrimination methods, deep learning and image
processing methods have the ability to detect plants efficiently and non-invasively. This is of …

Advances in automated and high-throughput imaging technologies have resulted in a
deluge of high-resolution images and sensor data of plants. However, extracting patterns …

On-time recognition and early control of the stresses in the paddy crops at the booting
growth stage is the key to prevent qualitative and quantitative loss of agricultural yield. The …

During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

The segmentation and classification of leaves in plant images are a great challenge,
especially when several leaves are overlapping in images with a complicated background …

In recent times use of different technologies for intelligent crop production is growing. To
increase the production of crops, diagnosing a plant disease is very important. Plant …