A strict field experiment with crops sown in crop rotation and monoculture wascarried out in the years 1988-2012 at the Experimental Station Uhrusk belonging tothe University of Life Sciences in Lublin, south-eastern Poland. The study wasaimed at evaluating the structure of weed communities occurring in crop rotationand monoculture of cereals. The highest weed density m-2 was determined inthe s...

Consistent use of high RSC water may deteriorate the physical properties of soil and increases pH and SAR of soil. Continuous use may reduce germination / the establishment of seedling, retards plant growth and leads to a significant reduction in yield. Therefore, a field experiment in microplots was displayed at research plot in St. John’s College, Agra to study the effect of sodic water on th...

Insect pollinated mass flowering crops are becoming more widespread and there is a need to understand which insects are primarily responsible for the pollination of these crops so conservation measures can be appropriately targeted in the face of pollinator declines. This study used field surveys in conjunction with cage manipulations to identify the relative contributions of different pollinat...

GIS, remote sensing and Global positioning System are the most widely useful tools for land use planning and decision support system. Remotely sensed imagery is beneficial for agricultural production. It gives the accurate information of agricultural activities such as different crop identification and classification, crop condition monitoring, crop growth, crop area and yield estimation, mappi...

In order to simulate growth and yield of crop in field scale, crop simulation models always require a lot of initial parameters. WebGIS is a powerful tool for obtaining, managing and analyzing spatial data on the Web. With the support of WebGIS, crop models based on web services can be easily run on the web by remote client and provide decision information and measures for crop production. In t...

In order to fully utilize remote sensing to inventory crop production, it is important to identify the factors that affect the accuracy of Landsat classifications. The objective of this study was to investigate the effect of scene characteristics involving crop, soil, and weather variables on the accuracy of Landsat classifications of corn and soybeans. Segments sampling the U.S. Corn Belt were...

 The factors that determine the success of the crop is water content in the soil profile explored by the roots, where soil and management condition affect the storage and availability. Because of the sites defined by the altimetry and crops predecessors affect the behavior of water content stored in the soil available for plants.  The aim of this work was to analyze the relationship between d...

With the large-scale adoption of glyphosate-resistant crops in North America, there are concerns that nontarget microbial populations might be affected by increased frequency of glyphosate use. Stimulation of fungal species associated with crop diseases, including Fusarium spp., has been observed in laboratory and glasshouse experiments. Although field surveys in Saskatchewan detected positive ...

The purpose of the study was to develop an intelligent vision system for autonomous vehicle field operations. Fuzzy logic was used to classify the crops and weeds. A Genetic Algorithm (GA) was used to optimize and tune the fuzzy logic membership rules. Field study confirmed that the method developed was able to accurately classify crop and weeds through the entire growing period. After segmenti...

Theoretical analysis of the CO(2) assimilation and water loss by single leaves suggests that the water use efficiency of C(4) species decreases as stomatal resistance increases. To confirm this hypothesis for a complete maize crop, results from computer simulations and a field experiment were compiled for varying stomatal resistances. A soil-plant-atmosphere model allowed simulations of the man...