CLIMATE CHANGE IN NORTHERN AFRICA: TOWARDS A RETURN OF RAINFALL ON THE SOUTHERN MEDITERRANEAN BASIN by NOUACEUR ZEINEDDINE, LAIGNEL B., TURKI IMEN, JEMAI HIBA

“…This new trend is also confirmed by recent results provided by agricultural data of 2011/2012 and 2012/2013.…”
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Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms by Maya Gopal P. S., Bhargavi R.

“…The results show that the RF algorithm reaches the highest accuracy by means of its error analysis values for all the distinct feature subsets using the same training agricultural data.…”
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Analysis of the relation between the price of fodder mixture ingredients and the price of chicken meat by V. Pezlarová

“…The procedure of searching for the right model will be demonstrated here on the available agricultural data. The models will trace the development of the price of chicken meat (agricultural producer price - APP) as related to time, the price of feed in the current and previous periods, and the previous prices of chicken meat. …”
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Research on data transmission model of agricultural wireless sensor network based on game theory by Wu Qiang

“…In order to improve the effect of agricultural data collection and transmission, based on the technology adopted by the mainstream agricultural environmental information monitoring system on the market, this paper uses game theory to innovatively improve the algorithm mechanism of wireless sensor nodes, optimise the clustering structure and routing method of wireless sensor networks, design a remote monitoring platform for field farm information and finally build a complete agricultural information monitoring system. …”
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Agricultural Knowledge Intelligent Service Technology: A Review by ZHAO Chunjiang

“…Agricultural knowledge intelligent service technology is a good way to resolve the agricultural data problems such as low rank, low correlation, and poor interpretability of reasoning. …”
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Geovisualization of agricultural economic indicators by Rakhmonov Sherzod, Rakhmonov Kosimdjon, Bozarov Ikboljon

“…Electronic maps, created on the basis of a statistical database, contain some indicators that describe the agricultural data of the republic, which helps to study and characterize the spatial differentiation of the region’s economy, the nature, and relationships of economic entities, as well as environmental management features. …”
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Identify and classify pests in the agricultural sector using metaheuristics deep learning approach by Atul B. Kathole, Jayashree Katti, Savita Lonare, Gulbakshee Dharmale

“…These findings demonstrate that the proposed technique is preferable due to its ability to speed up the collection of agricultural data and guarantee technical support.…”
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Phenotype Tracking of Leafy Greens Based on Weakly Supervised Instance Segmentation and Data Association by Zhuang Qiang, Jingmin Shi, Fanhuai Shi

“…Compared with the fully supervised approach, the proposed method can effectively reduce the requirements for agricultural data annotation, which has more potential in practical applications.…”
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La variabilité pluviométrique et ses impacts sur les rendements et les surfaces cultivées dans le bassin arachidier de la région de Thiès (Sénégal) by Souleymane Diallo, MBagnick Faye, Hassan Bismarck Nacro

“…A statistical analysis (Pettitt break test, drought index, ten-year rainfall trend) of rainfall and agricultural data from 1961-2016 revealed an irregular spatio-temporal distribution of rainfall volumes. …”
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Enabling rapid and efficient selection of Next generation sequencing algorithms to align sequences to predict differentially expressed genes in cancer by Maheswari L. Patil, Shivakumar B. Madagi, C.N. Prashantha

“…While NGS technologies have significant implications on clinical and agricultural data for optimization and availability of appropriate methodologies and tools to analyze, visualize and interpret NGS data are still in their infancy. …”
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Design of smart agriculture based on big data and Internet of things by Chunling Li, Ben Niu

“…In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. …”
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Ricardo’s Theory of Comparative Advantage: Old Idea, New Evidence by Costinot, Arnaud, Donaldson, David John

“…In this paper we develop and implement an empirical test of Ricardo's ideas. We use novel agricultural data that describe the productivity in 17 crops of 1.6 million parcels of land in 55 countries around the world. …”
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Climate and the Global Spread and Impact of Bananas’ Black Leaf Sigatoka Disease by Eric Strobl, Preeya Mohan

“…This study empirically models the disease spread across and its impact within countries using historical spread timelines, biophysical models, local climate data, and country level agricultural data. To model the global spread a empirical hazard model is employed. …”
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Cascade Parallel Random Forest Algorithm for Predicting Rice Diseases in Big Data Analysis by Lei Zhang, Lun Xie, Zhiliang Wang, Chen Huang

“…To confront the problems of high dimensions and imbalanced data distributions in agricultural data. The proposed method diminishes the dimensions and the negative effect of imbalanced data by cascading several random forests. …”
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Watching the grass grow: does recreational cannabis legalization affect retail and agricultural wages? by Sichao Jiang, Keaton Miller

“…We employ employment data from the Quarterly Census of Employment and Wages, state-level demographic data from the US Census Bureau, and agricultural data from the National Agricultural Statistics Service. …”
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Remote Sensing-Based Yield Estimation of Winter Wheat Using Vegetation and Soil Indices in Jalilabad, Azerbaijan by Nilufar Karimli, Mahmut Oğuz Selbesoğlu

“…Future-focused analysis and processing of agricultural data not only improve planning capabilities in this field but also enables the required precautions to be taken beforehand. …”
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Development of Agricultural Statistics from Design to Publication of Data by Éva Laczka

“…The developments that were realized through the years concerned equally the functioning of the system of agricultural statistics, the methods used, the technical solutions applied, but they also brought numerous novelties in the communication of agricultural data. It is maybe not a lack of modesty to mention that in the majority of cases, developments in the field of agricultural statistics have infl uenced the whole Hungarian statistical system. …”
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Radio Wave Attenuation Measurement System Based on RSSI for Precision Agriculture: Application to Tomato Greenhouses by Dora Cama-Pinto, Juan Antonio Holgado-Terriza, Miguel Damas-Hermoso, Francisco Gómez-Mula, Alejandro Cama-Pinto

“…Both concepts require the deployment of sensor networks that monitor agricultural variables for the integration of spatial and temporal agricultural data. This paper presents a system that has been developed to measure the attenuation of radio waves in the 2.4 GHz free band (ISM- Industrial, Scientific and Medical) when propagating inside a tomato greenhouse based on the received signal strength indicator (RSSI), and a procedure for using the system to measure RSSI at different distances and heights. …”
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Assessing the effect of monetary policy on agricultural growth and food prices by Zulfiqar Ali WAGAN, Zhang CHEN, Hakimzadi SEELRO, Muhammad Sanaullah SHAH

“…We did so by applying a factor-augmented vector autoregressive model proposed by Bernanke et al. (2005) to agricultural data from 1995 and 1996 to 2016 for India and Pakistan, respectively. …”
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Sustainable Intensification of Agriculture in the Context of the COVID-19 Pandemic: Prospects for the Future by Prasanna Venkatesh Sampath, Gaddam Sai Jagadeesh, Chandra Sekhar Bahinipati

“…Using FAO’s CROPWAT model, along with monsoon forecasts and detailed agricultural data, we simulate the crop water requirements across the study area. …”
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