Available diagnosis expert systems ask users many questions in order to identify the diseases. These questions are sometimes vague and need more interpretations. Further, using a lot of questions does not satisfy the end-user and turn the expert system to be boring and unfriendly. In this paper, I introduce a tool for building knowledge base. Also, I propose an approach for enhancing expert system dialogue with end-user. The proposed approach was applied in plant diseases. Instead of just asking the end user only text questions, images for different symptoms on different part of the plants are displayed to him. Then the end-user selects the images which are approximate to his plant symptoms. Finally, the system adapts the dialogue. This process is repeated till reaching the final diagnosis. The proposed tool is a web-based, and it adopts XML to store ontology, schema of knowledge base and knowledge base. The proposed tool was applied in building a prototype for barley knowledge base and diagnosis expert system.

Available data increase quickly every moment, this eventually drags to big data flooding. Hence there is an emergent need for exploiting big data in order to extract valuable knowledge from it. Adoption of distributed architecture and data intensive algorithms facilitates handling and processing big data. This paper introduces a distributed single pass clustering algorithm based on MapReduce in order to reduce running time of processing big data. Also, it introduces median based single pass clustering in order to mitigate the order of the input data problem that is associated with single pass clustering. Furthermore, it introduces a new hybrid approach which integrates median based single pass clustering and k-means algorithm. The proposed integration improves the median based clustering to work well with sparse data such as text.

A filed experiment was carried out at Al-Mattana Agricultural Research station, Agricultural Research Center, Luxor Governorate during 2015/16 and 2016/17 seasons, to study the effect of intercropping soybean (cover crop) with sugarcane crop, sole sugarcane and weed control treatments i.e. (Stomp at 1.75 l/f. hand hoeing twice at 25 and 45 days after planting and unweeded check) as the integrated weed control on fresh and dry weight of weeds (g/m2) and yield of primary crop (sugarcane) and secondary crop (soybean) which intercropping with sugarcane in natural infested soil by weeds. The experiment was laid out in randomized complete block design (RCBD) under split plot arrogant with four replication, intercropping treatments was put in the main plots and weed control treatment in split plots with four replications for each treatment.

ABSTRACT The aim of this study was the use of construction unsaturated oil in the manufacture of soft cheese. Oleogels were made from olive oil (00) or sunflower oil (SO) and bee wax (BW). They were used as fat replacer in the manufacture of pickled or un-pickled soft cheese. Using oleogels slightly decreased the pH values but had no effect on the moisture and fat contents of soft cheese, Cheese made with oleogels exhibited higher values for the texture parameters namely: hardness, springiness, gumminess and chewiness but slightly lower cohesiveness than cheese made with milk fat. Scanning electron micrographs displayed oleogels showed a compact network with small unifOlm fat droplets embedded in the protein matrix. Sensory evaluation indicated that soft cheese of acceptable quality can be made with the oleogels.

This research aimed to identify the problems which face the farmers in production and marketing olive crop, identify their relative importance of these problems, and the suggestion to overcome them, as well as identify their information resources in this area. The research was conducted in three villages selected from of three districts which have the major cultivated area of the crop in ismailia governorate. One village in each districts was selected by the same criterion used in the districts selection. These villeges were el manayef, sharque el Bohyrat and el asher men Ramdan. A Sample of 99 respondents were selected randomly which repercent 15% of the total number of the farmers wich were 661 farmers. Data were collected during the April and May 2016. through personal interviews using by pretested questionnaire. Precenage, frequencies and medium degrees were used for data presented. The main results were as follows: - The major problems which face the farmers in production area were: the high cost of transporting the crop as mentioned by (99%), lack of irrigation water (98%), and high prices of fertlzers (3, 92 med. degree) and high prices of pesticides (3,91 med. degree). The major problems which faced the farmers in marketing area were: monopolisation of the squezers owners (99%), using palm crates in packing the crop (96%) ؛The trader monopolisation of the olive export (3,88 mod. degree) and lake of olive oil markets (3,57 mod. dagree) - The proposed solution respondents to over come Their problems in producing and Marketing the crop were: providing fertilizers with suitable prices (98%) and the same concerning the pesticides (96%). - Concerning the respondent's sources of information about these producing and marketing the crop they were: relationships and neighbours (68,7%), and T.V programs (43,3%).