22 pages, The objective of this study was to provide a comprehensive overview of the recent advancements in the use of deep learning (DL) in the agricultural sector. The author conducted a review of studies published between 2016 and 2022 to highlight the various applications of DL in agriculture, which include counting fruits, managing water, crop management, soil management, weed detection, seed classification, yield prediction, disease detection, and harvesting. The author found that DL’s ability to learn from large datasets has great promise for the transformation of the agriculture industry, but there are challenges, such as the difficulty of compiling datasets, the cost of computational power, and the shortage of DL experts. The author aimed to address these challenges by presenting his survey as a resource for future research and development regarding the use of DL in agriculture.
16 pages, Plagued by recent and historic drought, the need for water storage and management solutions in California is apparent. As a potential solution, the Sites Reservoir project offers an opportunity to a state eager to conserve and better manage water. The Sites Reservoir project involves complexities from a variety of standpoints and stakeholder perspectives. This study investigated the frames and sources used by The Sacramento Bee to communicate about the Sites Reservoir project over a 10-year period. The most frequently used frames throughout the dataset were “policy and government” and “water conscious,” and the sources most frequently utilized for information about the project in the articles were elected officials, government agency representatives, and nonprofit representatives. The findings suggest water management is linked with political activities and supports the assertion that the media tend to focus on the role of policy and political opinion in water management issues. At the same time, the findings suggest the need for water solutions is evident, given the prominence of the “water conscious” frame. Future studies should evaluate frames over time, and investigate the potential nuance between frames used to communicate about water management in different areas of the United States facing water management issues.
13 pages, In Ghana, groundwater, accessed through wells and boreholes, is generally unregulated and may be contaminated with pollutants including excess nitrates from agricultural chemical fertilizers. Yet, studies estimating how clean groundwater is valued are not available in Ghana. In addition, some research suggests that the pre-experiment information provided to survey respondents affects their valuation of an identical outcome. This paper estimates smallholder farmers’ preferences for groundwater protection using pre-experiment information focused on one of two outcomes: environment or health. The double-bounded contingent valuation (DBCV) approach is used to estimate willingness to pay (WTP) to protect groundwater quality. The estimation accounts for shift and anchoring effects, which are common issues with the DBCV method. The mean WTP from the health (environmental) information subsample is about US$19 (US$17) per acre, and the values are significantly different between the information conditions. The findings shed light on the importance of using precise information in eliciting WTP in a developing country setting.
12 pages., Agriculture play significant role towards sustainability of developing nations’ economy particularly Nigeria by providing abundant raw materials required by the industry, as well as ensures food security and a healthy nation. This study examines the challenges of accessing agricultural information sources and services by farmers in Edu Local Government Area of Kwara State. Survey method was adopted for the study. The population of the study comprise of 16066 from which 78 farmers of the study area were selected using stratified random sampling and purposive sampling procedure. From the copies of questionnaires administered only 60 were duly completed and returned. Frequency and percentages were used in analyzing data collected. The findings from the study showed that information needs of farmers among others include application of improve techniques, irrigation management, seeds prices, farm wild fire management and prevention, purchase and use of fertilizer, government blueprint on agriculture, and meteorology information need of farmers in Edu Local Government . The findings further revealed that poor communication system, absence of library and information centre, absence of extension agents, insufficient knowledge on marketing of farm produce , insufficient credit facilities, insufficient information on government policies, insufficient fund were the challenges faced by farmers in accessing agricultural information sources and services. The study recommended among others that central facility providing and disseminating information on agricultural related services should be created in the study area that would be accessible to all farmers in order to meet their information needs.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12180
Notes:
Online article via Grist Creative and Water Solutions Network. 3 pages., Describes the history and complexities involved in developing a plan to carry out the largest dam removal in United States history along the Klamath River by 2023. Highlights efforts to bring together various stakeholders in the water management ecosystem.
USA: College of Agricultural, Consumer and Environmental Sciences, University of Illinois at Urbana-Champaign.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D12123
Notes:
Via online research summary. 4 pages., Summary of a research project among rural and urban residents in the Upper Sangamon River Watershed in central Illinois to learn how much people care about local water quality, fish populations, and algae blooms, and how much they care about meeting Environmental Protection Agency targets which benefit the Gulf of Mexico. Responses indicated that rural and urban residents value efforts to reduce watershed pollution and are willing to pay for environmental improvements.
9pgs, This research was conducted in Swabi district of Khyber Pakhtunkhwa with the aims to study the knowledge of farmers and to evaluate the perceptions of the farmers about Climate Change (CC). To accomplish these objectives primary data was collected from 98 randomly selected farmers by structure questionnaire through face to face interview method and was analysed by using descriptive statistics. Findings revealed that majority (93%) of farmers were aware of CC phenomena and perceived changes in temperature (89%) and precipitation (86%) during the last decade. Crop diversification, soil and water management practices and application of necessary farm inputs were the farmer’s preferred adaptive strategies to CC. Barriers to adaptive strategies were the ineffective government support, lack of capital, information and extension services, traditional beliefs and high cost of farm inputs. The study concludes that climate is changing and the farmers are practicing different adaptive strategies to overcome this problem, but still there is a space for more scientifically verified strategies which can boost the farmer’s productivity and increased the overall wellbeing for the future sustainability of farming.
12 pages, Many environmental dilemmas such as water scarcity originate from human behavior. This study aimed to analyze Iranian farmers’ water conservation behavior using Bandura’s social-cognitive theory. To this end, a cross-sectional survey was conducted to collect the required data. The research instrument was a questionnaire. A sample of 380 farmers was selected using a multistage stratified random sampling method. The results indicated that variables of social-cognitive theory could predict about 73% of farmers’ water conservation behavior variance. Investigation of direct effects of factors on farmers’ water conservation behavior revealed that the major determinants are as follows: intention of water conservation, social-structural factors, perception of others’ behavior, outcome expectancy, self-efficacy, and water conservation co-regulation. Findings showed that factors that have been mentioned in social-cognitive theory could be considered for enhancing farmers’ water conservation behaviors since the theory provides a more realistic insight into farmers’ behaviors with an emphasis on farmers’ social and structural contexts
