Results 11 to 20 of about 2,697,606 (306)
Bibliometric and social network analysis on the use of satellite imagery in agriculture: an entropy-based approach [PDF]
Agronomy 2023, 13(2), 576, 2023 Satellite imagery is gaining popularity as a valuable tool to lower the impact on natural resources and increase profits for farmers. The purpose of this study is twofold: to mine the scientific literature to reveal the structure of this research domain, and to investigate to what extent scientific results can reach a wider public audience.
arxiv +1 more source
Root Characteristics for Maize with the Highest Grain Yield Potential of 22.5 Mg ha−1 in China
Agriculture, 2023 In maize (Zea mays L.), rational root structure promotes high grain yield under dense sowing conditions. This study was conducted at Qitai Farm in Xinjiang, China, in 2019 and 2021. A traditional wide and narrow row planting method was adopted, with wide
Long Zhang +10 more
doaj +1 more source
Suppression of microRNA168 enhances salt tolerance in rice (Oryza sativa L.)
BMC Plant Biology, 2022 Background Rice is a salt-sensitive crop. Complex gene regulatory cascades are likely involved in salinity stress in rice roots. microRNA168 (miR168) is a conserved miRNA among different plant species.
Jiong Wan +13 more
doaj +1 more source
Crabgrass as a Forage and Hay Crop
EDIS, 2003 Crabgrass is a high quality summer annual forage grass that is well adapted to the sandy soils and climatic conditions of the southern Coastal Plain.
Ann Rachel Blount +4 more
doaj +5 more sources
Data Warehouse and Decision Support on Integrated Crop Big Data [PDF]
International Journal of Business Process Integration and
Management 2020 Vol.10 No.1, 2020 In recent years, precision agriculture is becoming very popular. The introduction of modern information and communication technologies for collecting and processing Agricultural data revolutionise the agriculture practises. This has started a while ago (early 20th century) and it is driven by the low cost of collecting data about everything; from ...
arxiv +1 more source
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection [PDF]
Agronomy Journal, vol. 113, no. 5, pp. 3991-4002, 2021, 2021 Recent research on the application of remote sensing and deep learning-based analysis in precision agriculture demonstrated a potential for improved crop management and reduced environmental impacts of agricultural production. Despite the promising results, the practical relevance of these technologies for field deployment requires novel algorithms ...
arxiv +1 more source
Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
BMC Plant Biology, 2020 Background China has diverse wheat varieties that adapt to very different environments divided into ten agro-ecological zones. A better understanding of genomic differences and patterns of selection among agro-ecological zones could provide useful ...
Jie Guo +7 more
doaj +1 more source
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning [PDF]
International Conference on Computational Science and
Computational Intelligence (CSCI 2022), 2023 Winter wheat is one of the most important crops in the United Kingdom, and crop yield prediction is essential for the nation's food security. Several studies have employed machine learning (ML) techniques to predict crop yield on a county or farm-based level.
arxiv +1 more source
Earth Observation based multi-scale analysis of crop diversity in the European Union: first insights for agro-environmental policies [PDF]
Agriculture, Ecosystems & Environment Volume 374, 15 October 2024,
109143, 2023 To understand the resilience of farms and the agricultural sector, as well as the provision of ecosystem services, we need to characterize and quantify crop diversity. Using a 10m resolution satellite-derived product, we created datasets of crop diversity across spatial and administrative scales for 27 EU countries and the UK in 2018.
arxiv +1 more source
Open Agriculture, 2020 A field experiment was conducted to investigate the effect of aqueous and ethanolic extracts of neem (Azadirachta indica A. JUSS) and garlic (Allium sativum L.) against Cercospora leaf spot (CLS) disease of groundnut (Arachis hypogaea L.).
Chotangui Asafor Henry +4 more
doaj +1 more source