This paper discusses the identification of trash objects in cotton using machine vision-based systems. Soft computing techniques such as neural networks and fuzzy inference systems can classify trash objects into individual categories such as bark, stick, leaf, and pepper trash types with great accuracies. High speed trash measurements, enables the implementation of these techniques for on-line...

This paper discusses a framework for implementation of a machine vision-based system for on-line identification of trash objects commonly found in cotton. Soft computing techniques such as neural networks and fuzzy inference systems can classify trash objects into individual categories such as bark, stick, leaf, and pepper trash types with great accuracies. This identification of trash objects ...

The PEA (Physiologically Explicit Approach) cotton model is a mechanistic, L-system (Hanan 1997) model of growth processes utilising carbohydrate production, translocation and allocation. In Thornby et al (2003), we used the PEA cotton model to investigate the phenomenon of compensatory growth in partially defoliated cotton seedlings. Experiments showed that the development rate of cotton seedl...

Multiple crop protection pesticides are frequently applied as a tank-mixture for control of a variety of pests in cotton (Gossypium hirsutum). Although chemicals generally act independently, an interaction may occur that can be either beneficial or detrimental to the target crop. The objective of this research was to evaluate the effects of malathion on the absorption and translocation of folia...

originally found in Mississippi in 1980 and by 2002 was estimated to infest 32.4% of the cotton hectarage in Cotton (Gossypium hirsutum L.) lint yields have not changed apMississippi (Lawrence et al., 2002). Although genetics preciably during the last decade. Because more and higher infestations is still probably the predominant reason for the lack of of reniform nematodes (Rotylenchulus renifo...

Consumption rates, development times, and life table parameters of the beet armyworm, Spodoptera exigua (Hübner), were determined on Þve host plants: cabbage, Brassica oleracea capitata L; cotton, Gossypium hirsutum L.; bell pepper, Capsicum annuum L.; pigweed, Amaranthus retroflexus L.; and sunßower, Helianthus annuus L. Mean total leaf weight consumed by larvae was highest in cabbage (2.7 g) ...

Three leaf water models (two-pool model, Péclet effect, and string-of-lakes) were assessed for their robustness in predicting leaf water enrichment and its spatial heterogeneity. This was achieved by studying the (18)O spatial patterns of vein xylem water, leaf water, and dry matter in cotton (Gossypium hirsutum) leaves grown at different humidities using new experimental approaches. Vein xylem...

feeding performance of the green oak leaf roller, tortrix viridana (linnaeus) was determined on three host plants including quercus libani oliv, quercus infectoria oliv, and quercus branti lindl, under laboratory conditions. mean total leaf weight consumed by larvae was the highest on q. branti (0.31 g) and the lowest on q. libani (0.14 g).the feeding index was the highest on q. libani while th...