This paper presents a survey of image processing techniques proposed in the literature for
extracting key cereal crop growth metrics from high spatial resolution, typically proximal …

Rice is one of the most significant crops cultivated in Asian countries. In Taiwan, almost half
of the arable land is used for growing rice. The life cycle of paddy rice can be divided into …

Farmers of the twentieth century are adopting the use of leading technical facilities in the
field of agriculture to sustain the competitiveness of the global market economy. With the …

Growth stage determination plays an important role in yield prediction and cereal husbandry
decision-making. Conventionally, crop growth stage determination is performed manually by …

This study introduces two methods for crop identification and growth stage determination,
focused primarily on enabling mobile robot navigation. These methods include a two-phase …

Hair fescue is a common perennial grass weed in wild blueberry fields in Nova Scotia,
Canada and reduces yield if not adequately controlled. Hair fescue is typically managed …

Food crop classification and identification are crucial aspects of modern agriculture. With
progression of drones or unmanned aerial vehicles (UAVs), crop detection from RGB …

Rice, as a primary dietary component for most of the world's population, assumes critical
significance in ensuring global food security. Accurately classifying rice image is a crucial …

Sourness is one of the basic yet essential tastes of coffee that is chemically composed of
acids and quantitatively represented in the pH scale. Current tools for measuring the acidity …

This study uses a CNN architecture to provide a deep learning strategy for the detection and
categorization of eight common rice illnesses. Three layers of convolution, three maximum …