Plants play a vital role in our daily life. Plants are a great source of medicine for many diseases. Due to their fewer chances of side effects on human body and also better compatibility with humans, using plant for treating diseases is considered to be safer. Other items like paper, bio-diesel are also obtained by using plant material. Hence identification of plants is a very important task h...

In this paper, the adaptation of network weights using Particle Swarm Optimization (PSO) was proposed as a mechanism to improve the performance of Artificial Neural Network (ANN) in classification of IRIS dataset. Classification is a machine learning technique used to predict group membership for data instances. To simplify the problem of classification neural networks are being introduced. Thi...

Plant recognition is a matter of interest for scientists as well as laymen. Computer aided technologies can make the process of plant recognition much easier; botanists use morphological features of plants to recognize them. These features can also be used as a basis for an automated classification tool. For example, images of leaves of different plants can be studied to determine effective alg...

The practical methodologies of stable pattern classification using artificial intelligence as advisory tools are researched here according to studies in the flowering plant genera Lithops N.E. Br. (Aizoaceae). In this paper, the use of K-means model is a practical generation of groups as a classifier for botanical taxa. In order to provide comparisons for this study of effective classification ...

In this study, five cultivars (Ceres, Zorro, Falcon, Express, and Samourai) of winter rapeseed were classified by using the common vector approach (CVA). For this purpose, seven yield characters (plant height, number of branches per plant, number of pods per plant, number of pods on main stem, number of seeds per pod, pod length and thousand seed weight) of each cultivar were used. The seven an...

Plant classification has a broad application prospective in agriculture and medicine, and is especially significant to the biology diversity research. As plants are vitally important for environmental protection, it is more important to identify and classify them accurately. Plant leaf classification is a technique where leaf is classified based on its different morphological features. The goal...

Automatic digital plant classification and retrieval can be achieved by extracting features from its leaves. There are ample opportunities to improve plant species identification due to computerization through the designing of a convenient automatic plant recognition system. Many different approaches are used to classify the species of plants based on the plants features. In this research, the ...

Rangeland plant communities of the Intermountain West differ in their ecology and management requirements. Successful management of extensive areas at plant community-level resolution first requires an efficient, cost-effective means of plant community classification and mapping. We evaluated the influence of image acquisition date and satellite imaging system on the accuracy of plant community...