نتایج جستجو برای: farmers network
تعداد نتایج: 704825 فیلتر نتایج به سال:
Background: The social amoeba Dictyostelium discoideum is a soil-dwelling microbe, which lives most of its life cycle in the vegetative stage as a predator of bacteria and as prey for nematodes. When bacteria are sparse, amoebae aggregate into a multicellular fruiting body. Some clones of D. discoideum have agriculture (Brock et al., 2011). They carry bacteria through the social stage, eat them...
The unsafe and indiscriminate use of pesticides in agriculture represents a major hazard to the environment and human health. The aim of this study was to assess the levels of knowledge, attitude and practices of Kuwaiti farmers regarding the safe use of pesticides. A total of 250 farmers participated in this study through in-depth interviews and observations on-farm. The majority of the farmer...
Occupational exposure to pesticides in agricultural applications may cause acute and long-term health effects to farmers, and thus research on factors that reduce exposure is useful. However, studies on the relevance and effectiveness of training are limited. The association of previous training in the form of intensive seminars relating to pesticide use (e.g., use of spraying equipment, applic...
Mungbean is a popular and widely grown pulse in Bangladesh. Coastal farmers are cultivating BARI-Mung varieties, but many farmers are still reluctant to adopt these improved varieties that need to be identified. Therefore, the study was conducted in three mungbean growing coastal districts, namely Barisal, Patuakhali, and Noakhali of Bangladesh during 2010-2011 to assess the extent of technolog...
BACKGROUND Farming is an occupation that predisposes individuals to health problems including musculoskeletal disorders (MSDs). There is limited research regarding MSDs among farmers especially in Ireland. AIMS To establish the prevalence of MSDs, identify the most commonly affected body regions and to explore what factors may influence the development of the most common MSDs among farmers in...
PROBLEMS AND SUGGESTIONS FOR FARMERS’ ADOPTION OF IPM PRACTICES IN RICE (Oryza sativa L) CULTIVATION
A study was carried out to determine the problems in IPM practices for rice cultivation faced by the farmers trained in IPM through Farmers’ Field School (FFS) and also to find out the important probable suggestions for overcoming those problems. Data were collected from 158 respondent farmers sampled randomly from 1050 FFS farmers of Godagari Upazila in Rajshahi district. Twenty important prob...
The study was undertaken to find out how crop farmers in the Techiman municipality of Ghana determine and manage the fertility of their soils. Data were obtained through questionnaire and interview of one hundred and ten randomly selected farmers from the municipality between January and February, 2010. Frequency count, percentage and correlation coefficient were used to analyze the data. The f...
The present investigation was carried out to assess the livelihood status of the fish farmers in Hamirkutsha and Kamarbari Unions of Bagmara upazilla under Rajshahi district during June to December 2006. Data were collected through the use of well structured questionnaire. Fifty farmers were included in this study who were directly involved in fish farming. Average pond size was 0.13 ha with si...
Objectives—To confirm or refute the hypothesis that organic farmers have higher sperm concentrations than traditional farmers. Methods—Traditional and organic farmers were selected randomly from central registers, and 171 traditional farmers and 85 organic farmers delivered one semen sample before the start of the spraying season. The participation rate was 28.8% among traditional farmers and 4...
The aim of this research is to develop a farmer prediction system to identify crop suitable for particular soil. To achieve this Neural Network should be trained to perform correct prediction for farmers. After the network has been properly trained, it can be used to identify the crop suitable for particular type of soil. The Artificial neural networks are relatively crude electronic networks o...
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