Results 31 to 40 of about 163,439 (186)

Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks

Agronomy, 2021
Farm-scale crop yield prediction is a natural development of sustainable agriculture, producing a rich amount of food without depleting and polluting environmental resources.
Martin Engen, Erik Sandø, Benjamin Lucas Oscar Sjølander, Simon Arenberg, Rashmi Gupta, Morten Goodwin   +5 more
doaj   +1 more source

Multisensor Data and Cross-Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System

Journal of Food Quality, 2022
Many approaches for crop yield prediction were analyzed by countries using remote sensing data, but the information obtained was less successful due to insufficient data gathered due to climatic variables and poor image resolution.
Venkata Kanaka Srivani Maddala, K. Jayarajan, M. Braveen, Ranjan Walia, Patteti Krishna, Sivakumar Ponnusamy, Karthikeyan Kaliyaperumal   +6 more
doaj   +1 more source

Evaluation of the CERES-Rice version 3.0 model for the climate conditions of the state of Kerala, India [PDF]

, 1998
The CERES-Rice version 3.0 crop growth simulation model was calibrated and evaluated for the agroclimatic conditions of the state of Kerala in India. Genetic coefficients were developed for the rice crop variety Jaya and used for the model evaluation ...
Lakshmi Narayan, K, Mendiratta, N, Rao, GSLHVP, Rathore, LS, Saseendran, SA, Singh, KK, Singh, SV   +6 more
core   +1 more source

UAV Remote Sensing Prediction Method of Winter Wheat Yield Based on the Fused Features of Crop and Soil

Remote Sensing, 2022
The early and accurate acquisition of crop yields is of great significance for maintaining food market stability and ensuring global food security. Unmanned aerial vehicle (UAV) remote sensing offers the possibility of predicting crop yields with its ...
Zezhong Tian, Yao Zhang, Kaidi Liu, Zhenhai Li, Minzan Li, Haiyang Zhang, Jiangmei Wu   +6 more
doaj   +1 more source

Genomic prediction and quantitative trait locus discovery in a cassava training population constructed from multiple breeding stages [PDF]

, 2020
Open Access Article; Published online: 11 Dec 2019Assembly of a training population (TP) is an important component of effective genomic selection‐based breeding programs.
Egesi, C., Jannink, Jean-Luc, Kawuki, R., Kulembeka, H., Lozano, R., Mrema, E., Mtunda, K., Ozimati, A., Rabbi, Ismail Y., Salum, K., Somo, M., Wolfe, M.D.   +11 more
core   +1 more source

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

Sensors, 2019
Yield prediction is of great significance for yield mapping, crop market planning, crop insurance, and harvest management. Remote sensing is becoming increasingly important in crop yield prediction.
Jie Sun, Liping Di, Ziheng Sun, Yonglin Shen, Zulong Lai   +4 more
doaj   +1 more source

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

, 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.
Florin, M.J., McBratney, A.B., Minasny, B., Whelan, B.M.   +3 more
core   +2 more sources

Assessing the potential of an algorithm based on mean climatic data to predict wheat yield [PDF]

, 2014
The real-time non-invasive determination of crop biomass and yield prediction is one of the major challenges in agriculture. An interesting approach lies in using process-based crop yield models in combination with real-time monitoring of the input ...
Bodson, Bernard, Destain, Jean-Pierre, Destain, Marie-France, Dumont, Benjamin, Ferrandis, Salvador, Leemans, Vincent   +5 more
core   +1 more source

Progress in Research on Deep Learning-Based Crop Yield Prediction

Agronomy
In recent years, crop yield prediction has become a research hotspot in the field of agricultural science, playing a decisive role in the economic development of every country.
Yuhan Wang, Qian Zhang, Feng Yu, Na Zhang, Xining Zhang, Yuchen Li, Ming Wang, Jinmeng Zhang   +7 more
doaj   +1 more source

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