Results 41 to 50 of about 37,961 (191)

Improving the Forecasting of Winter Wheat Yields in Northern China with Machine Learning–Dynamical Hybrid Subseasonal-to-Seasonal Ensemble Prediction

Remote Sensing, 2022
Subseasonal-to-seasonal (S2S) prediction of winter wheat yields is crucial for farmers and decision-makers to reduce yield losses and ensure food security.
Junjun Cao, Huijing Wang, Jinxiao Li, Qun Tian, Dev Niyogi   +4 more
doaj   +1 more source

Crop Yield Prediction

2023 4th International Conference on Intelligent Technologies (CONIT)
Crop yield prediction is a critical aspect of modern agriculture, as it directly impacts food security, economic planning, and resource management. Traditional methods of yield estimation often rely on historical data and manual analysis, which are limited in handling complex relationships between environmental and agricultural factors ...
Potnuru Karthik, Bolloju Sanjith, Betha Charan Satya Raj, Gujjula Dhanush Reddy, Bhavani Vasantha   +4 more
openaire   +3 more sources

MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples

International Journal of Applied Earth Observations and Geoinformation
Accurate and fine-grained crop yield prediction plays a crucial role in advancing global agriculture. However, the accuracy of pixel-level yield estimation based on satellite remote sensing data has been constrained by the scarcity of ground truth data ...
Shenzhou Liu, Di Wang, Haonan Guo, Chengxi Han, Wenzhi Zeng   +4 more
doaj   +1 more source

Agricultural Crop Yield Prediction Using Machine Learning

Revista Arbitrada Interdisciplinaria Koinonía, 2020
Crop yield prediction is addressed through machine learning. Two predictor variables were used: hectares harvested, and production in tons. For the first case, the best model was a dense neural network (DNN) architecture, with a MSE of 0.0081, followed ...
Joel Junior García-Arteaga, Jesús Javier Zambrano-Zambrano, Roberth Alcivar-Cevallos, Walter Daniel Zambrano-Romero   +3 more
doaj   +1 more source

Winter wheat yield prediction using convolutional neural networks from environmental and phenological data

Scientific Reports, 2022
Crop yield forecasting depends on many interactive factors, including crop genotype, weather, soil, and management practices. This study analyzes the performance of machine learning and deep learning methods for winter wheat yield prediction using an ...
Amit Kumar Srivastava, Nima Safaei, Saeed Khaki, Gina Lopez, Wenzhi Zeng, Frank Ewert, Thomas Gaiser, Jaber Rahimi   +7 more
doaj   +1 more source

An Efficient Data Warehouse for Crop Yield Prediction

CoRR, 2018
12 pages. Keywords.
Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi   +2 more
openaire   +2 more sources

Combined Spectral and Spatial Modeling of Corn Yield Based on Aerial Images and Crop Surface Models Acquired with an Unmanned Aircraft System

Remote Sensing, 2014
Precision Farming (PF) management strategies are commonly based on estimations of within-field yield potential, often derived from remotely-sensed products, e.g., Vegetation Index (VI) maps.
Jakob Geipel, Johanna Link, Wilhelm Claupein   +2 more
doaj   +1 more source

Crop Yield Prediction Using Epsilon Density Based Prediction

, 2021
Machine learning algorithms play a significant role in data analysis in many disciplines likeAgriculture, Food, Medicine, and Twitter Data. Yield prediction is a significant agricultural problem thatremains to be solved based on the available data ...
D. Esther Rani, Dr.N.Sathyanarayana, Dr. B. Vishnu Vardhan
core   +1 more source

Inverse meta-modelling to estimate soil available water capacity at high spatial resolution across a farm

, 2011
Geo-referenced information on crop production that is both spatially- and temporally-dense would be useful for management in precision agriculture (PA). Crop yield monitors provide spatially but not temporally dense information.
Whelan, B.M., Florin, M.J., McBratney, A.B., Minasny, B.   +3 more
core   +1 more source

Crop yield prediction using deep learning

, 2022
Multi- Model Ensemble with Deep Neural Network Based Crop Yield ...
M.Saranya Dr (14247557)
core   +1 more source