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.
22pgs, We introduce the “coordination frontier” (CF), a simple practical tool to assess the likelihood of success of voluntary coordination in situations where, ex ante, the collective action solution provides an appealing alternative (e.g., for pest and disease control). We demonstrate the value of information conveyed by the CF, explain how to construct the CF from experimental data, and show how to apply the CF in practice. We illustrate the concept with an application to data from a framed field economic experiment, which was designed to elicit the preferences of Florida's citrus growers regarding their willingness to coordinate actions to combat citrus greening disease. This is a highly relevant case study not only because of the significant impact caused by citrus greening on Florida's citrus industry but also because a voluntary area-wide pest management program to control it had been established in 2010 and eventually failed; a similar program is now in place in California, where the disease spread is at an earlier stage. Had the CF been available in Florida, estimates of the (aggregate) chances of successful coordination could have been shared with growers to update their beliefs regarding the chances of successful coordination to help reduce strategic uncertainty. Policymakers in California could use the CF in such way and devise ways to encourage participation to increase the chances of reaching a desired coordination threshold.
