Results 51 to 60 of about 37,961 (191)

The Prediction of Wheat Yield in the North China Plain by Coupling Crop Model with Machine Learning Algorithms

Agriculture, 2022
The accuracy prediction for the crop yield is conducive to the food security in regions and/or nations. To some extent, the prediction model for crop yields combining the crop mechanism model with statistical regression model (SRM) can improve the ...
Yanxi Zhao, Dengpan Xiao, Huizi Bai, Jianzhao Tang, De Li Liu, Yongqing Qi, Yanjun Shen   +6 more
doaj   +1 more source

Estimation of Winter Wheat Yield from UAV-Based Multi-Temporal Imagery Using Crop Allometric Relationship and SAFY Model

Drones, 2021
Crop yield prediction and estimation play essential roles in the precision crop management system. The Simple Algorithm for Yield Estimation (SAFY) has been applied to Unmanned Aerial Vehicle (UAV)-based data to provide high spatial yield prediction and ...
Yang Song, Jinfei Wang, Bo Shan
doaj   +1 more source

Sustainable Crop Yield Prediction

International Research Journal on Advanced Engineering Hub (IRJAEH)
Accurate forecasting of crop yields is fundamental to improving agricultural efficiency and ensuring global food availability. This research implements machine learning methodologies to estimate crop output using key agronomic and environmental indicators, such as precipitation, pesticide application, mean temperature, and carbon emissions.
null Aman Pramod Kumbhar, null Ashutosh Kulkarni, null Shaili Kakde, null Shreya Gupt, null Vaishali Jadhav   +4 more
openaire   +1 more source

Digital Twin‐Based Uncertain Weather Condition Monitoring for Enhanced Crop Yield Prediction

Meteorological Applications
Crop yield is impacted by uncertain weather conditions, including irregular rainfall, changing temperatures, and humidity variations. Existing crop yield prediction models fail to capture the dynamic nature of weather and mostly depend on limited data ...
A. Alphonse John Kenneth, A. Stella, T. C. Jermin Jeaunita, S. Sajithra Varun, Haiter Lenin Allasi, Mary Vasanthi Soosaimariyan   +5 more
doaj   +1 more source

Whole-crop cereals in dairy production [PDF]

, 2008
The four studies summarised and discussed in this thesis evaluate the use of whole-crop cereal silage (WCCS) for cattle in dairy production. The dry matter (DM) yield, chemical composition, digestibility, feed intake and milk production for WCCS were ...
Wallsten, Johanna
core  

A sensitivity analysis of the prediction of the nitrogen fertilizer requirement of cauliflower crops using the HRI WELL_N computer model [PDF]

, 2001
HRI WELL_N is an easy to use computer model, which has been used by farmers and growers since 1994 to predict crop nitrogen (N) requirements for a wide range of agricultural and horticultural crops.
Salo, T., Lillywhite, Robert, Rahn, C. (Clive), Draycott, A. Philip (Arthur Philip), Mead, A. (Andrew)   +4 more
core   +1 more source

Yield prediction for crops by gradient-based algorithms

PLOS ONE
A timely and consistent assessment of crop yield will assist the farmers in improving their income, minimizing losses, and deriving strategic plans in agricultural commodities to adopt import-export policies. Crop yield predictions are one of the various challenges faced in the agriculture sector and play a significant role in planning and decision ...
Pavithra Mahesh, Rajkumar Soundrapandiyan   +1 more
openaire   +3 more sources

Geosensors to Support Crop Production: Current Applications and User Requirements

, 2011
Sensor technology, which benefits from high temporal measuring resolution, real-time data transfer and high spatial resolution of sensor data that shows in-field variations, has the potential to provide added value for crop production.
Arnold Bregt, Bregt, Arnold K., Frederick Teye, Kooistra, L., Arnold K. Bregt, Bregt, A.K., Arnold K. Bregt, Huitu, Hanna, Teye, F., Kooistra, Lammert, Hanna Huitu, Thessler, S., Teye, Frederick, Thessler, Sirpa, Huitu, H., Sirpa Thessler, Lammert Kooistra   +16 more
core   +1 more source

Using NDVI and guided sampling to develop yield prediction maps of processing tomato crop

Spanish Journal of Agricultural Research, 2015
The use of yield prediction maps is an important tool for the delineation of within-field management zones. Vegetation indices based on crop reflectance are of potential use in the attainment of this objective.
Rafael Fortes, María H. Prieto, Abelardo García-Martín, Antón Córdoba, Carlos Campillo   +4 more
doaj   +1 more source

In-season crop yield prediction: State of the art and future research direction

International Journal of Applied Earth Observations and Geoinformation
Accurate in-season crop yield prediction is important for farm management, insurance planning, and food security decision making. Many studies have proposed different models and data sources, but their findings are difficult to compare because they focus
Ziao Liu, Liping Di, Ruixin Yang, Liying Guo, Chen Zhang, Hui Li, Bosen Shao   +6 more
doaj   +1 more source