5 pages, The current research was planned and conducted at Institute of Agricultural Extension, Education
and Rural Development, University of Agriculture, Faisalabad, Pakistan during the year 2019-20
and restricted to district Gujranwala with respect to potato crop. The main objective of this study
was to compare the extension services provided by the public and private sector along with
different teaching methodologies adopted by them. However, 36 respondents from each tehsil
of district Gujranwala were selected through convenient sampling technique. Thereby, getting a
sample size of 144 for the purpose of data collection for which interviews were conducted. Data
were analyzed through SPSS. Results were explained through weighted score and mean values
of all variables. According to results it was found that both sectors were giving useful knowledge
to farmers with different teaching methods. It was also concluded that farmers had desire to take
information from public sector but they have to go to private sector for products. Furthermore, it
was also concluded that performance of public sector was better than private sector.
5 pages, We developed an Excel-based computational template Extension educators can use to assist clientele with scheduling irrigation for efficient use of water. With the template, the user applies the dual crop coefficient method to calculate evaporation and transpiration rates separately, with the result being more accurate soil water tracking as compared to what occurs when a single crop coefficient is used. Crop water needs can be conveniently calculated on the basis of soil characteristics, crop growth stages, and weather information. Application examples demonstrate that the amount and frequency of irrigation should be adjusted according to soil texture. The template and application examples are available to Extension professionals as electronic supplementary material.
16 pages, The study examined the factors that drive decisions to adopt and use irrigation technologies among smallholder farmers in Machakos County, Kenya. Data were collected from a sample of 300 smallholder farmers. Cross-sectional survey design, a multistage sampling procedure and random sampling method were employed. Percentages, means and econometric analysis were used in data analysis. Results showed that, 31.7% of the respondents practiced irrigation. Sex of household head, education, farm size, off-farm income, credit accessed and access to extension services positively influenced adoption of irrigation technologies. Adoption intensity was positively influenced by gender, off-farm income, farming experience, primary occupation and extension services. As a result, it is suggested that while formulating development strategies and programs for smallholder farmers, agricultural extension organizations should give priority to these factors.
7pgs, Aerial images taken during the growing seasons of 2009, 2011, 2013, 2015, and 2017 were visually inspected for evidence of irrigation. Center pivot irrigation was identified by the characteristic shape of the spans and the curved tracks left by the wheels. The author manually delineated a polygon over each agricultural area where signs of irrigation infrastructure were observed. The result is a map of 2,689 polygons covering 146,662 acres in South Carolina. Compared with the United States Department of Agriculture 2017 Census of Agriculture, the sampling results account for over 69% of total irrigated area and over 98% of area irrigated solely by center pivots. Most center pivots covered from 25 to 75 acres, while the largest center pivot extended over 300 acres. These results are an important contribution to the quantification of water use in South Carolina.
Bin, Li (author), Shahzad, Muhammad (author), Khan, Hira (author), Bashir, Muhammad Mehran (author), Ullah, Arif (author), and Siddique, Muhammad (author)
Format:
Journal article
Publication Date:
2023-09-18
Published:
Switzerland: MDPI
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12959
20 pages, Sustainable agriculture is a pivotal driver of a nation’s economic growth, especially considering the challenge of providing food for the world’s expanding population. Agriculture remains a cornerstone of many nations’ economies, so the need for intelligent, sustainable farming practices has never been greater. Agricultural industries worldwide require sophisticated systems that empower farmers to manage their crops efficiently, reduce water wastage, and optimize yield quality. Yearly, substantial crop losses occur due to unpredictable environmental changes, with improper irrigation practices being a leading cause. In this paper, we introduce an innovative irrigation time control system for smart farming. This system leverages fuzzy logic to regulate the timing of irrigation in cotton crop fields, effectively curbing water wastage while ensuring that crops receive neither too little nor too much water. Additionally, our system addresses a common agricultural challenge: whitefly infestations. Users can adjust climatic parameters, such as temperature and humidity, through our system, which minimizes both whitefly populations and water consumption. We have developed a portable measurement technology that includes air humidity sensors, temperature sensors, and rain sensors. These sensors interface with an Arduino platform, allowing real-time climate data collection. This collected climate data is then sent to the fuzzy logic control system, which dynamically adjusts irrigation timing in response to changing environmental conditions. Our system incorporates an algorithm that generates highly effective (IF-THEN) fuzzy logic rules, significantly improving irrigation efficiency by reducing overall irrigation duration. By automating the irrigation process and precisely delivering the right amount of water, our system eliminates the need for human intervention, rendering the agricultural system more dependable in achieving successful crop yields. Water supply commences when the environmental conditions reach specific thresholds and halts when the requisite climate conditions are met, maintaining an optimal environment for crop growth.
11 pages, via online journal, Land fragmentation is an interesting physical character in some developing countries, especially China. This study aims to discover the direct and mediated effects of land fragmentation on collective action in China based on an empirical test and the social-ecological system framework. We introduce three innovations to the literature on collective action in the commons. First, we focus on the mechanism of land fragmentation on collective action in the commons, which has been largely ignored in the literature. Second, building on the social-ecological system framework, we use structural equation modeling, which is robust to endogeneity and latent variable problems. Third, we use original survey data from 3895 households and 284 villages from 17 provinces/regions in China, a critical case because China has some of the most fragmented farmland use in the world. We find that land fragmentation has a direct negative effect on irrigation collective action. And besides the direct negative effect, there are four indirect factors: dependency on farming, irrigation rule-making, economic pressure and land circulation. Of these, the first three have a negative effect, and the last one, a positive effect. Our findings add to the theoretical literature on collective action in the commons and suggest new policy handles for more efficient land and labor markets in China.
