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Precision agriculture

Zi Hao Wu, Yan Fang Liu, Yi Yun Chen, Long Guo, Qing Hu Jiang, Shao Chen Wang
Soil organic carbon pool is an important component of terrestrial carbon pool. Soil organic carbon pool and its dynamic change have important influence on carbon cycle in terrestrial ecosystem. Soil organic carbon density (SOCD) is an important parameter of soil carbon storage, and it is also an important index to evaluate farmland soil quality. Accurate prediction of regional organic carbon density spatial distribution is of great significance to the development of precision agriculture. A total of 242 farmland soil samples collected from the Jianghan Plain were used to explore the effects of land use types on the spatial distribution of SOCD in plain areas...
January 2018: Ying Yong Sheng Tai Xue Bao, the Journal of Applied Ecology
Asier Uribeetxebarria, Elisa Daniele, Alexandre Escolà, Jaume Arnó, José A Martínez-Casasnovas
The change from traditional to a more mechanized and technical agriculture has involved, in many cases, land transformations. This has supposed alteration of landforms and soils, with significant consequences. The effects of induced soil variability and the subsequent implications in site-specific crop management have not been sufficiently studied. The present work investigated the application of a resistivity soil sensor (Veris 3100), to map the apparent electrical conductivity (ECa), and detailed multispectral airborne images to analyse soil and crop spatial variability to assist in site-specific orchard management...
April 16, 2018: Science of the Total Environment
Mohamed Hassanein, Zahra Lari, Naser El-Sheimy
Over the last decade, the use of unmanned aerial vehicle (UAV) technology has evolved significantly in different applications as it provides a special platform capable of combining the benefits of terrestrial and aerial remote sensing. Therefore, such technology has been established as an important source of data collection for different precision agriculture (PA) applications such as crop health monitoring and weed management. Generally, these PA applications depend on performing a vegetation segmentation process as an initial step, which aims to detect the vegetation objects in collected agriculture fields’ images...
April 18, 2018: Sensors
B J White, D E Amrine, R L Larson
Big data are frequently used in many facets of business and agronomy to enhance knowledge needed to improve operational decisions. Livestock operations collect data of sufficient quantity to perform predictive analytics. Predictive analytics can be defined as a methodology and suite of data evaluation techniques to generate a prediction for specific target outcomes. The objective of this manuscript is to describe the process of using big data and the predictive analytic framework to create tools to drive decisions in livestock production, health, and welfare...
April 14, 2018: Journal of Animal Science
Carlos H O Lima, Renato A Sarmento, Tarcísio V S Galdino, Poliana S Pereira, Joedna Silva, Danival J Souza, Gil R Dos Santos, Thiago L Costa, Marcelo C Picanço
Spatiotemporal dynamics studies of crop pests enable the determination of the colonization pattern and dispersion of these insects in the landscape. Geostatistics is an efficient tool for these studies: to determine the spatial distribution pattern of the pest in the crops and to make maps that represent this situation. Analysis of these maps across the development of plants can be used as a tool in precision agriculture programs. Watermelon, Citrullus lanatus (Thunb.) Matsum. and Nakai (Cucurbitales: Cucurbitaceae), is the second most consumed fruit in the world, and the whitefly Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) is one of the most important pests of this crop...
April 16, 2018: Journal of Economic Entomology
Andrea Dechner, Kevin M Flesher, Catherine Lindell, Téo Vega de Oliveira, Brian A Maurer
Understanding the factors that influence the presence and distribution of carnivores in human-dominated agricultural landscapes is one of the main challenges for biodiversity conservation, especially in landscapes where setting aside large protected areas is not feasible. Habitat use models of carnivore communities in rubber plantations are lacking despite the critical roles carnivores play in structuring ecosystems and the increasing expansion of rubber plantations. We investigated the habitat use of a mammalian carnivore community within a 4,200-ha rubber plantation/forest landscape in Bahia, Brazil...
2018: PloS One
Guoling Li, Dewu Liu, Xianwei Zhang, Rong Quan, Cuili Zhong, Jianxin Mo, Yaoqiang Huang, Haoqiang Wang, Xiaofang Ruan, Zheng Xu, Enqin Zheng, Ting Gu, Linjun Hong, Zicong Li, Zhenfang Wu, Huaqiang Yang
The main DNA repair pathways, nonhomologous end joining (NHEJ) and homology-directed repair (HDR), are complementary to each other; hence, interruptions of the NHEJ pathway can favor HDR. Improving HDR efficiency in animal primary fibroblasts can facilitate the generation of gene knock-in animals with agricultural and biomedical values by somatic cell nuclear transfer. In this study, we used siRNA to suppress the expression of Ku70 and Ku80, which are the key factors in NHEJ pathway, to investigate the effect of Ku silencing on the HDR efficiency in pig fetal fibroblasts...
April 12, 2018: International Journal of Biochemistry & Cell Biology
Zhaodi Wang, Menghan Hu, Guangtao Zhai
Deep learning has become a widely used powerful tool in many research fields, although not much so yet in agriculture technologies. In this work, two deep convolutional neural networks (CNN), viz. Residual Network (ResNet) and its improved version named ResNeXt, are used to detect internal mechanical damage of blueberries using hyperspectral transmittance data. The original structure and size of hypercubes are adapted for the deep CNN training. To ensure that the models are applicable to hypercube, we adjust the number of filters in the convolutional layers...
April 7, 2018: Sensors
Thomas Hahn, Aileen Roth, Eva Febel, Malgorzata Fijalkowska, Eric Schmitt, Tarique Arsiwalla, Susanne Zibek
BACKGROUND: There is a growing interest in the use of insects in poultry, swine and aquaculture feed and pet food applications. All insects produce chitin-based exoskeletons. Concerning the chitin content, precise determination in agricultural applications is crucial because it has favorable functional properties, but is also difficult to digest for some species of livestock. Three measurement methods were compared to determine the most reliable method for chitin content determination in different insects and selected H...
March 31, 2018: Journal of the Science of Food and Agriculture
Rosa Dargahi, Homeira Ebrahimzadeh, Reza Alizadeh
The authors describe a new sorbent for amitraz and teflubenzuron pesticides. It consists of a platinum wire coated with polypyrrole-coated ZnO nanorods. The nanocomposite was prepared by a two-step process. In the first step, oriented ZnO nanorods were hydrothermally grown in situ on a platinum wire. Subsequently, oxidative vapor phase polymerization of pyrrole was performed on FeCl3 -impregnated ZnO nanorods to give a porous polypyrrole film. The organic/inorganic nanocomposite synthesized through hydrothermal deposition and chemical vapor deposition polymerization yields material with attractive properties...
February 1, 2018: Mikrochimica Acta
Iván García-Magariño, Raquel Lacuesta, Jaime Lloret
Smart communication protocols are becoming a key mechanism for improving communication performance in networks such as wireless sensor networks. However, the literature lacks mechanisms for simulating smart communication protocols in precision agriculture for decreasing production costs. In this context, the current work presents an agent-based simulator of smart communication protocols for efficiently managing pesticides. The simulator considers the needs of electric power, crop health, percentage of alive bugs and pesticide consumption...
March 27, 2018: Sensors
Manousos E Kambouris, Yiannis Manoussopoulos, Stavroula Kritikou, Aphroditi Milioni, Spyridon Mantzoukas, Aristea Velegraki
Agrigenomics is one of the emerging focus areas for omics sciences. Yet, agrigenomics differs from medical omics applications such as pharmacogenomics and precision medicine, by virtue of vastly distributed geography of applications at the intersection of agriculture, nutrition, and genomics research streams. Crucially, agrigenomics can address diagnostics and safety surveillance needs in remote and rural farming communities or decentralized food, crop, and environmental monitoring programs for prompt, selective, and differential identification of pathogens...
March 27, 2018: Omics: a Journal of Integrative Biology
Zohaib Khan, Vahid Rahimi-Eichi, Stephan Haefele, Trevor Garnett, Stanley J Miklavcic
Background: Unmanned aerial vehicles offer the opportunity for precision agriculture to efficiently monitor agricultural land. A vegetation index (VI) derived from an aerially observed multispectral image (MSI) can quantify crop health, moisture and nutrient content. However, due to the high cost of multispectral sensors, alternate, low-cost solutions have lately received great interest. We present a novel method for model-based estimation of a VI using RGB color images. The non-linear spatio-spectral relationship between the RGB image of vegetation and the index computed by its corresponding MSI is learned through deep neural networks...
2018: Plant Methods
Rasoul Yahyapour, Peyman Amini, Saeed Rezapour, Mohsen Cheki, Abolhasan Rezaeyan, Bagher Farhood, Dheyauldeen Shabeeb, Ahmed Eleojo Musa, Hengameh Fallah, Masoud Najafi
Currently, ionizing radiation (IR) plays a key role in the agricultural and medical industry, while accidental exposure resulting from leakage of radioactive sources or radiological terrorism is a serious concern. Exposure to IR has various detrimental effects on normal tissues. Although an increased risk of carcinogenesis is the best-known long-term consequence of IR, evidence has shown that other diseases, particularly diseases related to inflammation, are common disorders among irradiated people. Autoimmune disorders are among the various types of immune diseases that have been investigated among exposed people...
March 20, 2018: Military Medical Research
Luke Mease, Reema Sikka, Randall Rhees
Introduction: To analyze the effectiveness and suitability of pupillometer use in military and occupational medicine, specifically when pupil size is measured as part of medical surveillance. Pupil size is the most sensitive physical exam finding in vapor exposure to substances that inhibit acetylcholinesterase, such as nerve agent (chemical warfare) and organophosphates (used in agriculture). Pupillometer use permits real-time, accurate pupil measurements, which are of significant value in occupational setting where exposure to organophosphates is suspected and in dynamic military settings where it may be unclear if service members were exposed to nerve agent or not...
March 14, 2018: Military Medicine
Olivier Turc, François Tardieu
Abortion of reproductive organs is a major limiting factor of yield under water deficit, but is also a trait selected for by evolutionary processes. Youngest reproductive organs must be prone to abortion so older organs can finish their development in case of limited resources. Water deficit increases natural abortion via two developmentally-driven processes, namely a signal from the first fertilized ovaries and a simultaneous arrest of the expansive growth of all ovaries at a precise stage. In maize (Zea mays) subjected to water deficits typically encountered in dryland agriculture, these developmental mechanisms account for 90 % of drought-associated abortion and are irreversible three days after silk emergence...
March 13, 2018: Journal of Experimental Botany
Tim Beissinger, Jochen Kruppa, David Cavero, Ngoc-Thuy Ha, Malena Erbe, Henner Simianer
Important traits in agricultural, natural, and human populations are increasingly being shown to be under the control of many genes that individually contribute only a small proportion of genetic variation. However, the majority of modern tools in quantitative and population genetics, including genome wide association studies and selection mapping protocols, are designed to identify individual genes with large effects. We have developed an approach to identify traits that have been under selection and are controlled by large numbers of loci...
March 15, 2018: Genetics
Qiong Zheng, Wenjiang Huang, Ximin Cui, Yue Shi, Linyi Liu
Yellow rust is one of the most destructive diseases for winter wheat and has led to a significant decrease in winter wheat quality and yield. Identifying and monitoring yellow rust is of great importance for guiding agricultural production over large areas. Compared with traditional crop disease discrimination methods, remote sensing technology has proven to be a useful tool for accomplishing such a task at large scale. This study explores the potential of the Sentinel-2 Multispectral Instrument (MSI), a newly launched satellite with refined spatial resolution and three red-edge bands, for discriminating between yellow rust infection severities (i...
March 15, 2018: Sensors
Shizhuang Weng, Fang Wang, Ronglu Dong, Mengqing Qiu, Jinling Zhao, Linsheng Huang, Dongyan Zhang
Detection of residual farm chemicals in agricultural crops is a hot topic in the field of food safety. In this study, ediphenphos residue in rice was detected using surface-enhanced Raman spectroscopy (SERS) on a portable Raman spectrometer. A simple pretreatment method for rice samples was developed, and uniform gold nanorods were used for SERS measurement. Characteristic signals can still be detected when ediphenphos concentration in rice extraction solution was higher than or equal to 0.1 mg/L. Quantitative analysis of ediphenphos was conducted by regression models developed using partial least-squares regression, random forest and kernel principal component analysis, and root-mean-square error of cross validation, coefficient of determination and relative predicted deviation of optimal model were 0...
March 14, 2018: Journal of Food Science
Ping Zhang, Lihong Xu
Complicated image scene of the agricultural greenhouse plant images makes it very difficult to obtain precise manual labeling, leading to the hardship of getting the accurate training set of the conditional random field (CRF). Considering this problem, this paper proposed an unsupervised conditional random field image segmentation algorithm ULCRF (Unsupervised Learning Conditional Random Field), which can perform fast unsupervised segmentation of greenhouse plant images, and further the plant organs in the image, i...
March 13, 2018: Scientific Reports
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