Supply and Demand Forecasting Model of Multi-Agricultural Products Based on Deep Learning by ZHUANG Jiayu, XU Shiwei, LI Yang, XIONG Lu, LIU Kebao, ZHONG Zhiping

“…To further improve the simulation and estimation accuracy of the supply and demand process of agricultural products, a large number of agricultural data at the national and provincial levels since 1980 were used as the basic research sample, including production, planted area, food consumption, industrial consumption, feed consumption, seed consumption, import, export, price, GDP, population, urban population, rural population, weather and so on, by fully considering the impact factors of agricultural products such as varieties, time, income and economic development, a multi-agricultural products supply and demand forecasting model based on long short-term memory neural network (LSTM) was constructed in this study. …”
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Long-term hydrological alterations and the agricultural landscapes in the Mekong Delta: insights from remote sensing and national statistics by Hui, Tay Ru, Park, Edward, Loc, Ho Huu, Tien, Pham Duy

“…Our results reveal a notable fall in Landsat-detected triple rice crop area between 2016 and 2019, corroborating with both literature and agricultural data indicating an increase in aquaculture areas. …”
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Rapid Acquisition, Management, and Analysis of Spatial Maize (<i>Zea mays</i> L.) Phenological Data—Towards ‘Big Data’ for Agronomy Transformation in Africa by Henri E. Z. Tonnang, Tesfaye Balemi, Kenneth F. Masuki, Ibrahim Mohammed, Julius Adewopo, Adnan A. Adnan, Bester Tawona Mudereri, Bernard Vanlauwe, Peter Craufurd

“…Mobile smartphones, open-source set tools, and mobile applications have provided vast opportunities for timely, accurate, and seamless data collection, aggregation, storage, and analysis of agricultural data in sub-Saharan Africa (SSA). In this paper, we advanced and demonstrated the practical use and application of a mobile smartphone-based tool, i.e., the Open Data Kit (ODK), to assemble and keep track of real-time maize (<i>Zea mays</i> L.) phenological data in three SSA countries. …”
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Estimation of greenhouse gases emission from a rice field of Kelantan, Malaysia by using DNDC model by Gandahi, Rabail, Yusop, Mohd Khanif, Oad, Fateh Chand, Musa, Mohamed Hanafi, Othman, Radziah

“…In conclusion, the validation of agricultural data through DNDC model was perfect. The ongoing agricultural practices in the area have been found contributing small quantities of CO 2 and N 2O except CH 4 which is serving as sink. …”
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Projecting wheat demand in China and India for 2030 and 2050: Implications for food security by Khondoker Abdul Mottaleb, Gideon Kruseman, Aymen Frija, Kai Sonder, Santiago Lopez-Ridaura

“…In the process, this study relies on agricultural data sourced from the Food and Agriculture Organization of the United States (FAO) database (FAOSTAT), as well as the World Bank's World Development Indicators (WDI) data catalog. …”
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Data Mining and Machine Learning Algorithms for Optimizing Maize Yield Forecasting in Central Europe by Endre Harsányi, Bashar Bashir, Sana Arshad, Akasairi Ocwa, Attila Vad, Abdullah Alsalman, István Bácskai, Tamás Rátonyi, Omar Hijazi, Adrienn Széles, Safwan Mohammed

“…The collected data included both agricultural data (production (PROD) (ton) and maize cropped area (AREA) (ha)) and climate data (annual mean temperature °C (Tmean), precipitation (PRCP) (mm), rainy days (RD), frosty days (FD) and hot days (HD)). …”
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“Smart Agriculture” Information Technology and Agriculture Cross-Discipline Research and Development by Jian Zhang, Randy G. Goebel, Zhihai Wu

“…Digital technology applications in agriculture and biology are a dynamic area of research interest, with topics including, but not limited to, agriculture, data collection, data mining, bioinformatics, genomics and phenomics, as well as applications of machine learning and artificial intelligence [...]…”
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Scriptwriters’ Perception of Soap Opera Usability in Agricultural Information Dissemination in Southwestern Nigeria by Rasak Bamidele Olajide, T. A. Ladigbolu

“…A total of 30 scriptwriters were interviewed using questionnaire to elicit information on their personal characteristics, perceived constraints to and perception of the use soap opera for promoting agriculture. Data were analysed using frequencies, percentages, means, Pearson Product Moment Correlation (PPMC) and linear regression at p=0.05. …”
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Scriptwriters’ Perception of Soap Opera Usability in Agricultural Information Dissemination in Southwestern Nigeria by Rasak Bamidele Olajide, T. A. Ladigbolu

“…A total of 30 scriptwriters were interviewed using questionnaire to elicit information on their personal characteristics, perceived constraints to and perception of the use soap opera for promoting agriculture. Data were analysed using frequencies, percentages, means, Pearson Product Moment Correlation (PPMC) and linear regression at p=0.05. …”
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Scriptwriters’ Perception of Soap Opera Usability in Agricultural Information Dissemination in Southwestern Nigeria by Rasak Bamidele Olajide, T. A. Ladigbolu

“…A total of 30 scriptwriters were interviewed using questionnaire to elicit information on their personal characteristics, perceived constraints to and perception of the use soap opera for promoting agriculture. Data were analysed using frequencies, percentages, means, Pearson Product Moment Correlation (PPMC) and linear regression at p=0.05. …”
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Weed detection in canola fields using maximum likelihood classification and deep convolutional neural network by Muhammad Hamza Asad, Abdul Bais

“…Accurate weed density estimation using advanced computer vision techniques like deep learning requires large labelled agriculture data. Labelling large agriculture data at pixel level is a time-consuming and tedious job. …”
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Improving the process of growing crops through the use of smart greenhouses by Nechaev A.S., Ilina E.A., Morozevich O.A.

“…The article identifies advantages of smart greenhouses which can improve the process of growing in agriculture: data collection with smart meters, alerting, analysis and prediction of the volume of crops, control of deviations. …”
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Where Have All the Direct-Marketing Farms Gone? by Jeffrey O'Hara, Matthew Benson

“…While the new ques­tions make it challenging to infer direct-marketing trends between 2012 and 2017, the 2017 Census of Agriculture data nonetheless reveals a considerable decline in the number of farms selling directly to consumers and wholesalers in the U.S. …”
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A Bibliometric Overview over Smart Farming by Jonatas Santos de Souza, João Gilberto Mendes dos Reis, Paula Ferreira da Cruz Correia, Gabriel Santos Rodrigues

“…In this study, we conducted a bibliometric review of smart farming concepts to identify the state of the art of technologies in agriculture. Data collected from Scopus are analyzed using VOSviwer software. …”
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Expanding Technical Assistance for Urban Agriculture: Best Practices for Extension Services in California and Beyond by Kristin A. Reynolds

“…It examined characteristics of UA in the study area, Alameda County, California; operators' challenges and assistance needs; and Extension staff members' interest in expanding programming for urban agriculture. Data was collected through the University of California Small Farm Program from 2006 to 2009, and consisted of on-site interviews with 52 urban farmers and gardeners as well as surveys of Extension staff members and participant observation, which took place throughout the study.…”
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Florida’s Agritourism Laws by Mary Beth Henry, Kathryn A. Stofer

“…Although Florida trails many other states in the number of agritourism operations2, the number of Florida farms offering recreational experiences more than doubled from 281 in 2007 to 724 in 2012, according to USDA Census of Agriculture data3. This document describes the laws governing Florida agritourism operations, including the original 2013 definition (F.S. 570.96) and clarifications passed in 2016 (F.S. 570.85-89). …”
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From the Editor's Desk by PUTHIRA PRATHAP D

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Data Governance in the Dairy Industry by Roger Cue, Mark Doornink, Regi George, Benjamin Griffiths, Matthew W. Jorgensen, Ronald Rogers, Amit Saha, Kyle Taysom, Victor E. Cabrera, Steven R. Wangen, Liliana Fadul-Pacheco

“…To our knowledge, there are currently four codes of practice that address agriculture data worldwide, and their objectives are similar: (1) raise awareness of diverse data challenges such as data sharing and data privacy, (2) provide data security, and (3) illustrate the importance of the transparency of terms and conditions of data sharing contracts. …”
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A produção de vídeos tutoriais como recurso didático: uma experiência com alunos do médio integrado no componente curricular Desenho by Thiago Luiz de Oliveira Gomes Martins, Ricardo Jorge de Sousa Cavalcanti

“…Held at the Federal Institute of Alagoas, Santana do Ipanema Campus, the research was carried out with students from the 1st grade of the Technical Course in Agriculture. Data collection focused on the written record and the application of two questionnaires: before and after the videos were produced. …”
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PENYUSUNAN ATLAS PERTANIAN WILAYAH KABUPATEN KULONPROGO PROVINSI DAERAH ISTIMEWA YOGYAKARTA by , ANIENDYTA APTY H, , Drs. Noorhadi Rahardjo, M.Si., PM.

“…The direction of this research in Kulonprogo region is to visualize an agriculture data spacially in a map and to present agriclture maps in atlas version and how to evaluate the final map and the atlas as well. …”