10 pages, The main objectives of this research are to assess the educational and training requirements of farmers in Al-Ta’mim governorate in the field of using and maintaining the center pivot sprinkler irrigation systems and identifying the differences between these requirements according to some independent factors. The research sample consisted of 142 farmers representing 60% of the total number of farmers who were using these systems. The data was collected through a questionnaire form and utilizing the Borich equation. After testing the validity and reliability of the questionnaire, the data acquisition commenced through personal interview, the data then were analyzed by using analysis of variance and step-wise regression analysis. The results showed that 94% of farmers require medium to high levels of education and training and that there are significant differences in these requirements according to: educational level, number of months of utilizing the system, annual income, size of holding, and communication level with information sources. Yet, there are no significant differences according to readiness to change and social norms. It is also found that the (number of months of utilizing the system) is the most contributing factor in the interpretation of the variance of the educational and training requirements.
Alison, Kathleen I. (author), Pettit, John J. (author), and Irrigation Support Project for Asia and the Near East, Arlington, VA; Irrigation Support Project for Asia and the Near East, Arlington, VA
Format:
Report
Publication Date:
1989-09
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 92 Document Number: C06690
Notes:
Kathleen I. Alison Collection, Arlington, VA : Irrigation Support Project for Asia and the Near East. 1989. 113 p. (ISPAN Report No. 15)
Alison, Kathleen I. (author), Hahn-Rollins, Dee (author), and Irrigation Support Project for Asia and the Near East, Arlington, VA; Irrigation Support Project for Asia and the Near East, Arlington, VA
Format:
Report
Publication Date:
1989-05
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 92 Document Number: C06691
Notes:
Kathleen I. Alison Collection, Arlington, VA : Irrigation Support Project for Asia and the Near East. 1989. 104 p. (ISPAN Report No. 17)
Alison, Kathleen I. (author), Edwards, Daniel B. (author), and Irrigation Support Project for Asia and the Near East, Arlington, VA; Irrigation Support Project for Asia and the Near East, Arlington, VA
Format:
Report
Publication Date:
1989-02
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 92 Document Number: C06689
Notes:
Kathleen I. Alison Collection, Arlington, VA : Irrigation Support Project for Asia and the Near East. 1989. 62 p. (ISPAN Report No. 13)
5 PAGES., Released in late 2020, the Center Pivot Fertigation Calculator is designed to help producers make more precise fertilizer applications by assisting in calculating liquid fertilizer flow rate and injection pump settings needed to fertigate through a center pivot irrigation system. The Clemson Drip Fertigation Calculator is designed to help South Carolina vegetable producers make more precise fertilizer applications through drip irrigation systems.
After producers started using the center pivot and drip fertigation calculators, Zack Snipes, assistant program leader for the Clemson Cooperative Extension Service horticulture team and area horticulture agent, noted many were beginning to ask what they should do if using a greenhouse-grade solid fertilizer and putting it into a solution. In response, Rob Last, area horticulture agent, built a spreadsheet that became the basis for the Liquid Fertilizer Solution Calculator.
“We have created a system that provides quick calculations and is really easy to use,” Last said. “Anyone who has questions about these calculators can contact me or Zack and we’ll help them.”
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 116 Document Number: C11767
Notes:
Francis C. Byrnes Collection, Section D. Proceedings of the 13th annual conference of the Association for International Agricultural and Extension Education, Arlington, Virginia, April 3-5, 1997.
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.