Many plant disease outbreaks are triggered by suitably warm temperatures during periods of leaf wetness. Measurements or estimations of leaf wetness duration provided by Agrometeorologists have allowed Plant Pathologists to devise weather timed spray schemes which often reduce the number of sprays required to control plant diseases, thus lowering costs and benefitting the environment. In the ne...

Plant disease automatic detection is an important research topic as it has been proved useful in monitoring large crop fields, and thus automatically detects the leaf disease symptoms as soon as they appear in plant leaves. In this paper, a plant disease recognition method is proposed based on plant leaf images. First, the spot is segmented, and the disease feature vector is extracted. Then, th...

Grafting is an easier and faster approach than plant breeding to take advantage of both existing resistant plants, especially wild cultivars, and high-bred cultivars. The aim of this study was to investigate the changes in leaf photosynthetic capacity of a hybrid eggplant Solanum melongena L., cv. Rima (R), widely used in Greece] when grafted on tomato rootstocks known for their resistance to n...

Coffee leaf diseases can significantly impact the productivity and quality of crops. Accurate timely identification these is crucial for effective management control. This paper proposes a hybrid feature fusion approach identifying coffee disease, including early late fusion. First, we propose several models to extract information in input images by combining MobileNetV3, Swin Transformer, vari...

INTRODUCTION Xylella fastidiosa (Xf) is a Gram-negative xylem-limited bacterium that causes Pierce’s disease (PD), plum leaf scald, almond leaf scorch, phony peach disease and many other diseases. For many plant species there is no resistant germplasm. Xylem vessels may be filled with exopolysaccharides produced by the bacterium, and pectins, gums and tyloses produced by the plant. There has be...

Received Jan 1, 2018 Revised Mar 15, 2018 Accepted Mar 29, 2018 Disease in palm oil sector is one of the major concerns because it affects the production and economy losses to Malaysia. Diseases appear as spots on the leaf and if not treated on time, cause the growth of the palm oil tree. This work presents the use of digital image processing technique for classification oil palm leaf disease s...

Nowadays, there is an increased sustained interest in the production of plant-based-drugs for the treatment of many diseases. Moreover, people are welcoming traditional medicines to overcome mild/serious illness. Due to increase in the thrust for the production of plant-based antimicrobials, the present study was performed on Carica papaya leaves. The leaf extract was prepared by using acetone,...

Production of silver nanoparticles from the leaf extracts of Pimenta dioica is reported for the first time in this paper. Three different sets of leaves were utilized for the synthesis of nanoparticles-fresh, hot-air oven dried, and sun-dried. These nanoparticles were characterized using UV-Vis spectroscopy and AFM. The results were diverse in that different sizes were seen for different leaf c...

This paper presents a practical classification system for recognising diseased wheat leaves and consists of a number of components. Pre-processing is performed to adjust the orientation of the primary leaf in the image using a Fourier Transform. A Wavelet Transform is then applied to partially remove low frequency information or background in the image. Subsequently, the diseased regions of the...

Rosmarinus officinalis Albus is a woody, perennial herb with fragrant, evergreen, needle-like leaves and white flowers grown in many parts of the world. It is widely used in the treatment of genitourinary conditions, liver diseases and scalp treatment. The present study was performed to highlight the micro-anatomical, physiochemical and phytochemical aspects of the plant. The thin transverse se...