Results 11 to 20 of about 1,208,308 (295)

Crop Yield Prediction

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021
Cotton, popularly known as White Gold has been an important commercial crop of National significance due to the immense influence of its rural economy. Transfer of technology to identify the quality of fibre is gaining importance for crop yield is compared with Random forest, Support Vector Machine, Weather, K Nearest neighbor.
Pallavi Shankarrao Mahore, Dr. Aashish A. Bardekar   +1 more
openaire   +1 more source

Yield Predict: A Crop Yield Prediction Framework for Smart Farms

International Journal of Advanced Research in Science, Communication and Technology, 2023
In today’s world the most important thing for living in the Indian economy is agriculture.In recent years, machine learning approaches are gaining popularity with the advent of big data. Adoption of these approaches in the agricultural sector has immense potential to increase crop productivity and quality.
null Shinde Shivnanda, null Pawar Nikita, null Dhage Tanaji   +2 more
openaire   +1 more source

Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields

Remote Sensing, 2020
Crop yield prediction prior to harvest is important for crop income and insurance projections, and for evaluating food security. Yet, modeling crop yield is challenging because of the complexity of the relationships between crop growth and predictor ...
Angela Kross, Evelyn Znoj, Daihany Callegari, Gurpreet Kaur, Mark Sunohara, David R. Lapen, Heather McNairn   +6 more
doaj   +1 more source

SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques

Frontiers in Plant Science, 2022
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, Sudeep Marwaha, Sudhir Kumar, Alka Arora, Viswanathan Chinnusamy, Shahnawazul Islam   +5 more
doaj   +1 more source

Prediction of Blueberry (Vaccinium corymbosum L.) Yield Based on Artificial Intelligence Methods

Agriculture, 2022
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, Jarosław Kurek, Bartosz Świderski, Tomasz Wojciechowski, Izabella Antoniuk, Krzysztof Bobran   +5 more
doaj   +1 more source

Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction

Remote Sensing, 2022
The enormous increase in the volume of Earth Observations (EOs) has provided the scientific community with unprecedented temporal, spatial, and spectral information.
Hamze Dokoohaki, Teerath Rai, Marissa Kivi, Philip Lewis, Jose L. Gómez-Dans, Feng Yin   +5 more
doaj   +1 more source

A Novel Framework for Semiconductor Manufacturing Final Test Yield Classification Using Machine Learning Techniques

IEEE Access, 2020
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, Weihua Lin, Nagarajan Raghavan   +2 more
doaj   +1 more source

Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods

Frontiers in Plant Science, 2023
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, Mingzheng Zhang, Tian’en Chen, Tian’en Chen, Tian’en Chen, Xiaohe Gu, Xiaohe Gu, Dong Chen, Dong Chen, Dong Chen, Cong Wang, Cong Wang, Cong Wang, Wenbiao Wu, Wenbiao Wu, Wenbiao Wu, Qingzhen Zhu, Chunjiang Zhao, Chunjiang Zhao, Chunjiang Zhao, Chunjiang Zhao   +20 more
doaj   +1 more source

The combined effects of VPD and soil moisture on historical maize yield and prediction in China

Frontiers in Environmental Science, 2023
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, Guojie Wang, Shijie Li, Daniel Fiifi Tawia Hagan, Waheed Ullah   +4 more
doaj   +1 more source

Application of Smart Techniques, Internet of Things and Data Mining for Resource Use Efficient and Sustainable Crop Production

Agriculture, 2023
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, Tajamul Hussain, Noramon Tantashutikun, Nurda Hussain, Giacomo Cocetta   +4 more
doaj   +1 more source