scholarly journals The Analysis of the Butterfly Greenhouse Plant for the Butterfly Gardening

Author(s):  
Jinkwan Son ◽  
Donghyeon Kang ◽  
Siyoung Lee ◽  
Sungwook Yun ◽  
Namchoon Kim ◽  
...  
Author(s):  
Jirawath Parnklang ◽  
Thitirat Kasomkul ◽  
Chutikarn Wiangwong ◽  
Natcha Pibanpaknitee

2021 ◽  
pp. 63-76
Author(s):  
C. S. Arvind ◽  
K. Prajwal ◽  
Amrut C. Patil ◽  
A. Ashwin Kumar ◽  
A. Sreedevi ◽  
...  

Agronomy ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 91 ◽  
Author(s):  
Qifan Cao ◽  
Lihong Xu

It has long been a great concern in deep learning that we lack massive data for high-precision training sets, especially in the agriculture field. Plants in images captured in greenhouses, from a distance or up close, not only have various morphological structures but also can have a busy background, leading to huge challenges in labeling and segmentation. This article proposes an unsupervised statistical algorithm SAI-LDA (self-adaptive iterative latent Dirichlet allocation) to segment greenhouse tomato images from a field surveillance camera automatically, borrowing the language model LDA. Hierarchical wavelet features with an overlapping grid word document design and a modified density-based method quick-shift are adopted, respectively, according to different kinds of images, which are classified by specific proportions between fruits, leaves, and the background. We also utilize the feature correlation between several layers of the image to make further optimization through three rounds of iteration of LDA, with updated documents to achieve finer segmentation. Experiment results show that our method can automatically label the organs of the greenhouse plant under complex circumstances, fast and precisely, overcoming the difficulty of inferior real-time image quality caused by a surveillance camera, and thus obtain large amounts of valuable training sets.


2011 ◽  
Vol 192 (3) ◽  
pp. 1886-1889 ◽  
Author(s):  
Manuel J. Fernández-Gómez ◽  
Esperanza Romero ◽  
Rogelio Nogales

HortScience ◽  
2004 ◽  
Vol 39 (4) ◽  
pp. 776A-776
Author(s):  
Jonathan M. Frantz* ◽  
Dharmalingam S. Pitchay ◽  
James C. Locke ◽  
Charles Krause

Silica (Si) is not considered to be an essential plant nutrient because without it, most plants can be grown from seed to seed without its presence. However, many investigations have shown a positive growth effect if Si is present, including increased dry weight, increased yield, enhanced pollination, and most commonly, increased disease resistance, which leads to its official designation as a beneficial nutrient. Surprisingly, some effects, such as reduced incidence of micronutrient toxicity, appear to occur even if Si is not taken up in appreciable amounts. The literature results must be interpreted with care, however, because many of the benefits can be obtained with the counterion of the Si supplied to the plant. Determining a potential benefit from Si could be a large benefit to greenhouse plant producers because more production is using soilless media that are devoid of Si. Therefore, Si must be supplied either as a foliar spray or nutrient solution amendment. We investigated adding Si to New Guinea Impatiens (Impatiens hawkeri Bull), marigold (Tagetes erecta), pansy (Viola wittrockiana), spreading petunia (Petunia hybridia), geranium (Pelargonium spp.), and orchid (Phalaenopsis spp.). Using SEM, energy dispersive X-ray analysis, and ICP analysis, Si content and location was determined. This information and other growth characteristics will be used as a first step in determining the likelihood of using Si as a beneficial element in greenhouse fertilizer solutions for higher quality bedding plants with fewer agrochemical inputs.


HortScience ◽  
2004 ◽  
Vol 39 (4) ◽  
pp. 837D-837
Author(s):  
Richard H. Mattson* ◽  
Eunhee Kim ◽  
Gary E. Marlowe ◽  
Jimmy D. Nicholson

At the Lamar County Adult Probation Program in Paris, Texas, a three-year study (Spring 2001-Fall 2003) involving 376 probationers was conducted to investigate the rehabilitative effects on probationers of a horticulture vocational training program. Data were collected on 189 adults who were randomly assigned to a horticulture group doing greenhouse plant production and vegetable gardening activities. The horticulture group was compared with 187 adults who were in a non-horticulture community service group doing trash clean-up and janitorial work. Within the horticulture group, significant improvement occurred in horticultural knowledge (KSU General and Specific Horticulture Exams), self-esteem (Rosenberg Self-Esteem Scale), and environmental awareness (Environmental Response Inventory). These changes did not occur within the non-horticulture community service group. Future research will examine recidivism rates and vocational placements of probationers from both groups.


HortScience ◽  
2004 ◽  
Vol 39 (4) ◽  
pp. 835A-835
Author(s):  
Christopher Catanzaro* ◽  
Haval Kamake ◽  
Sarabjit Bhatti

Twenty-one commercially introduced or trial cultivars of poinsettia (Euphorbia pulcherrima Willd. ex Klotzsch) supplied by Dummen USA or Ecke were grown at the TSU main campus farm during Autumn 2003. Ten plants of each cultivar were potted in 6-inch standard containers and grown from rooted cuttings to finished plants according to industry cultural practices in a glass greenhouse. Plant heights were recorded weekly. The date on which anthers began to shed pollen (flowering date) was recorded to calculate response time after initiation of short days. Also recorded on the flowering date were final plant height and two measurements of plant width and inflorescence width. Most cultivars finished within two weeks of the predicted response time of 7.5-9 weeks. However, flowers of `Infinity Red', `Merlot', `Mirage', and `Premium Marble' shed pollen especially late. Flower structures aborted on `Prestige', `Elegance Hot Pink' and `Premium Hot Pink'. Most cultivars were relatively compact at finish date. `Twister', `EuroGlory', and `Coco 2000 White' were particularly small, with average heights of 28-30 cm and average widths of 17 cm or less. `Spotlight Dark Red' was tallest (37cm) and widest (41cm), and also had the widest inflorescences (26 cm). Quality issues observed on some cultivars included low inflorescence number, excessive bract overlap, bract burn, bract reversion, high height to width ratio, and low plant vigor. Cultivars with overall high quality performance included `Premium Red', `Infinity Red', `Spotlight Dark Red', `Coco 2000 Red', and `Freedom', which all scored highly in the consumer preference survey conducted at the end of the study.


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