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Quantifying corn emergence using UAV imagery and machine learning
(University of Missouri--Columbia, 2022)
Corn (Zea mays L.) is one of the important crops in the United States for animal feed, ethanol production, and human consumption. To maximize the final corn yield, one of the critical factors to consider is to improve the ...
Quantifying the effect of environments on crop emergence, development and yield using sensing and deep learning techniques
(University of Missouri--Columbia, 2021)
The world population is estimated to increase by 2 billion in the next 30 years, and global crop production needs to double by 2050 to meet the projected demands from rising population, diet shifts, and increasing biofuels ...
Quantifying soybean phenotypes using UAV imagery and machine learning, deep learning methods
(University of Missouri--Columbia, 2023)
Crop breeding programs aim to introduce new cultivars to the world with improved traits to solve the food crisis. Food production should need to be twice of current growth rate to feed the increasing number of people by ...
Detecting estrus in sows using a robotic imaging system and neural networks
(University of Missouri--Columbia, 2023)
The global demand for pork products is expected to grow further with the growth of the population. Traditional swine farming presents disadvantages such as low breeding efficiency and high labor cost. Estrus detection is ...
Quantlyzer : an R package for automated exploratory and predictive data analysis
(University of Missouri--Columbia, 2023)
Machine learning (ML) and statistical algorithms have been significantly used in various applications, such as data classification, predictive regression, and feature selection. As the need for data-driven insights continues ...
Development of UAV-based high-throughput phenotyping technologies towards improving soybean breeding efficiency
(University of Missouri--Columbia, 2021)
Development of new crop varieties with improved traits through crop breeding programs is one of the promising solutions for the estimated food crisis in 2050 when agricultural production needs to double its current growth ...