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The field of precision agriculture has brought the concept for "big data" to farming by bringing sensor technology into the field allowing growers to make more efficient management decisions. However much of the research and practice of precision agriculture has focused on soil-related issues while sub-field microclimates have been mostly unstudied despite their known importance to crop production. This study sought to explore the differences in temperature at a sub-field level during an entire season using weather microsensors recording data every minute from 11 Dec 2017 to 11 Apr 2018. Twenty-two cost-effective sensors were placed within a ~ .5 ha area satsuma orange (Citrus unshiu) grove along the Gulf Coast on Baldwin County, Alabama. The sensors were placed in aerated housings in a vertical column on the west face of eleven trees at a height of 1 and 2 m off the ground. We focus on several events where temperatures hovered near 0 °C or near - 7 °C, a temperature known to damage satsuma trees and find that temperatures can vary by as much as 1.5 to 2 °C at the same moment in the same grove. Extreme cold events were also found to be non-uniform within the grove, and the response was seen on a tree-by-tree basis where increased exposure to < - 7 °C temperatures led to increase defoliation (r = 0.92) and lower fruit count in the following year (r = 0.71). We discuss the implication of these differences in temperature and what it may mean for the future of precision agriculture.
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http://dx.doi.org/10.1007/s00484-021-02086-0 | DOI Listing |
Heliyon
December 2024
Department of Information Science, Addis Ababa University, Addis Ababa, Ethiopia.
Agriculture is the backbone of the Ethiopian economy. It plays a significant role in the growth of the national economy. Among these, mung bean production takes the highest level of income for most smallholder farmers in all regions of Ethiopia who cultivate mung bean crops.
View Article and Find Full Text PDFFront Plant Sci
December 2024
The Key Laboratory for Crop Production and Smart Agriculture of Yunnan Province, Yunnan Agricultural University, Kunming, Yunnan, China.
Tea leaf diseases are significant causes of reduced quality and yield in tea production. In the Yunnan region, where the climate is suitable for tea cultivation, tea leaf diseases are small, scattered, and vary in scale, making their detection challenging due to complex backgrounds and issues such as occlusion, overlap, and lighting variations. Existing object detection models often struggle to achieve high accuracy in detecting tea leaf diseases.
View Article and Find Full Text PDFHeliyon
December 2024
State Key Laboratory of Tree Genetics and Breeding, Co-Innovation Centre for Sustainable Forestry in Southern China, Bamboo Research Institute, Key Laboratory of National Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, School of Life Sciences, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.
The global population growth is driving up the demand for agricultural products, while traditional farming methods like those from the Green Revolution are becoming unsustainable due to climate change. To address these challenges and ensure agricultural sustainability, innovative techniques, such as nanotechnology, are essential to meet rising food demands and enhance agricultural sustainability. Nanotechnology, which promotes a more sustainable and resilient agricultural system while enhancing food security, is a key catalyst for the Agri-tech revolution.
View Article and Find Full Text PDFInt J Behav Nutr Phys Act
December 2024
Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, 2115 Wisconsin Avenue NW Suite 300, Washington, D.C, 20007, USA.
Background: Continuous glucose monitoring (CGM) holds potential as a precision public health intervention, offering personalised insights into how diet and physical activity affect glucose levels. Nevertheless, the efficacy of using CGM in populations with and without diabetes to support behaviour change and behaviour-driven outcomes remains unclear. This systematic review and meta-analysis examines whether using CGM-based feedback to support behaviour change affects glycaemic, anthropometric, and behavioural outcomes in adults with and without diabetes.
View Article and Find Full Text PDFSci Rep
December 2024
Agricultural Engineering Department, Faculty of Agriculture and Natural Resources, Aswan University, Aswan, 81528, Egypt.
Efficient cooling systems are critical for maximizing the electrical efficiency of Photovoltaic (PV) solar panels. However, conventional temperature probes often fail to capture the spatial variability in thermal patterns across panels, impeding accurate assessment of cooling system performance. Existing methods for quantifying cooling efficiency lack precision, hindering the optimization of PV system maintenance and renewable energy output.
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