The huge spreading of Internet of things (IoT)-oriented modern technologies is revolutionizing all fields of human activities, leading several benefits and allowing to strongly optimize classic productive processes. The agriculture field is also affected by these technological advances, resulting in better water and fertilizers' usage and so huge improvements of both quality and yield of the crops. In this manuscript, the development of an IoT-based smart traceability and farm management system is described, which calibrates the irrigations and fertigation operations as a function of crop typology, growth phase, soil and environment parameters and weather information; a suitable software architecture was developed to support the system decision-making process, also based on data collected on-field by a properly designed solar-powered wireless sensor network (WSN). The WSN nodes were realized by using the ESP8266 NodeMCU module exploiting its microcontroller functionalities and Wi-Fi connectivity. Thanks to a properly sized solar power supply system and an optimized scheduling scheme, a long node autonomy was guaranteed, as experimentally verified by its power consumption measures, thus reducing WSN maintenance. In addition, a literature analysis on the most used wireless technologies for agri-food products' traceability is reported, together with the design and testing of a Bluetooth low energy (BLE) low-cost sensor tag to be applied into the containers of agri-food products, just collected from the fields or already processed, to monitor the main parameters indicative of any failure or spoiling over time along the supply chain. A mobile application was developed for monitoring the tracking information and storing conditions of the agri-food products. Test results in real-operative scenarios demonstrate the proper operation of the BLE smart tag prototype and tracking system.
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http://dx.doi.org/10.3390/s20133632 | DOI Listing |
Sci Rep
December 2024
Guangxi Subtropical Crops Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530001, China.
This study evaluates the growth, survival pressures, and community dynamics of Barringtonia racemosa (L.) Spreng. populations in Jiulong Mountain and Suixi County, Guangdong Province.
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December 2024
Department of Biomedical Engineering, University of Los Andes, Bogotá, Colombia.
Agriculture 4.0 technologies continue to see low adoption among small and medium-sized farmers, primarily because these solutions often fail to account for the specific challenges of rural areas. In this work, we propose and implement a design methodology to develop a Precision Agriculture solution aimed at assisting farmers in managing water stress in Hass avocado crops.
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December 2024
Department of Research, Research and Development Station for Bovine, Arad, Romania.
Background: There are no studies belong NOTCH2 gene polymorphism in relation to reproductive and productive traits in Holstein cattle. The objective of the present study was to investigate the effect of NOTCH2 gene polymorphisms on productive and reproductive performance of fertile and anestrum cattle.
Methods: The cattle were classified into anestrus for 3-12 months postpartum (n = 115, 37.
J Environ Manage
December 2024
College of Environmental and Resource Science, College of Carbon Neutral, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, China.
Microalgal-bacterial biofilms are a competitive wastewater treatment technology. This study investigated the impact of photoperiod on the characteristics and performance of these biofilms in treating pig farm wastewater. Under continuous lighting (L-24h), we observed optimal NH-N removal efficiency, minimal chlorophyll levels, and peak concentrations of polysaccharides and c-di-GMP.
View Article and Find Full Text PDFHealth Policy
December 2024
Department of Agricultural and Food Sciences, University of Bologna, Via G. Fanin 50, Bologna 40127, Italy.
Policy strategies targeting imprudent antimicrobial use (AMU) in livestock farming have been established at the global and country levels, recognising the risks associated with antimicrobial resistance (AMR). This study evaluates the strategies addressing AMU and AMR in animal farms and the food supply chain in EU Member States using a multimethod approach. Our aim is to contribute to the debates surrounding the goals set by the EU Commission and the 'Strategic framework for collaboration on antimicrobial resistance: Together for One Health'.
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