Results 11 to 20 of about 3,154,862 (212)
The application of computer vision in agriculture has already contributed immensely to restructuring the existing field practices starting from the sowing to the harvesting.
Arpan K. Maji +5 more
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Prediction of Blueberry (Vaccinium corymbosum L.) Yield Based on Artificial Intelligence Methods
In this paper, we present a high-accuracy model for blueberry yield prediction, trained using structurally innovative data sets. Blueberries are blooming plants, valued for their antioxidant and anti-inflammatory properties.
Gniewko Niedbała +5 more
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The enormous increase in the volume of Earth Observations (EOs) has provided the scientific community with unprecedented temporal, spatial, and spectral information.
Hamze Dokoohaki +5 more
doaj +1 more source
Advanced data analysis tools and techniques are important for semiconductor companies to gain competitive advantage. In particular, yield prediction tools, which fully utilize production data, help to improve operational efficiency and reduce production ...
Dan Jiang +2 more
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Tobacco is an important economic crop and the main raw material of cigarette products. Nowadays, with the increasing consumer demand for high-quality cigarettes, the requirements for their main raw materials are also varying.
Mingzheng Zhang +20 more
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The combined effects of VPD and soil moisture on historical maize yield and prediction in China
Understanding the effects of thermal and water stress on maize yield in the context of climate change is crucial to ensure food security in China. However, very few studies looked into the combined effects of heat and water stress on maize yield in China.
Fujie Zhao +4 more
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Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors [PDF]
Wheat dominates the Australian grain production market and accounts for 10–15% of the world’s 100 million tonnes annual global wheat trade.
Deo, Ravinesh C. +11 more
core +1 more source
Technological advancements have led to an increased use of the internet of things (IoT) to enhance the resource use efficiency, productivity, and cost-effectiveness of agricultural production systems, particularly under the current scenario of climate ...
Awais Ali +4 more
doaj +1 more source
Identification of yield deficits early in the growing season for cereal crops (e.g., Triticum aestivum) could help to identify more precise agronomic strategies for intervention to manage production.
Anna Florence +4 more
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Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of Mango
Pre-harvest yield estimation of mango fruit is important for the optimization of inputs and other resources on the farm. Current industry practice of visual counting the fruit on a small number of trees for yield forecasting can be highly inaccurate due ...
Muhammad Moshiur Rahman +2 more
doaj +1 more source

