Results 31 to 40 of about 37,961 (191)

Crop yield prediction method based on an improved neural network

Dianzi Jishu Yingyong, 2019
Crop yield forecasting plays a decisive role in the development of national economy planned by the government. It is of great significance to rationally plan planting strategies and reduce the waste of water and fertilizer.
Liu Peng, Zheng Yong, Yang Hongjun
doaj   +1 more source

A comprehensive approach on predicting the crop yield using hybrid machine learning algorithms

Journal of Agrometeorology, 2022
Crop yield prediction is a complex task which uses historical data to predict how much yield can be obtained in a particular year. To predict accurate crop yield, a novel deep neural network named crop yield predicting deep neural network with XGBoost ...
KRITHIKHA SANJU SARAVANAN , VELAMMAL BHAGAVATHIAPPAN   +1 more
doaj   +1 more source

Mathematical Modelling in Crop Production to Predict Crop Yields

Chemical Engineering Transactions, 2021
In this study, for remote recognition of crops of agroecosystems in Kazakhstan by methods of comparative and historical analogy with the active use of mathematical modelling, the yield indicator of agricultural crops was determined, their dynamic characteristics were studied to predict productivity.
Sadenova Marzhan Anuarbekovna, Beisekenov Nail Alikuly, Rakhymberdina Marzhan Y., Varbanov Petar Sabev, Klemes Jii Jaromir   +4 more
openaire   +2 more sources

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

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

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

Yield-SAFE: A parameter-sparse, process-based dynamic model for predicting resource capture, growth, and production in agroforestry systems. [PDF]

, 2007
1. Silvoarable agroforestry (SAF) is the cultivation of trees and arable crops on the same parcel of land. SAF may contribute to modern diversified land use objectives in Europe, such as enhanced biodiversity and productivity, reduced leaching of ...
Dupraz, Christian, Keesman, K.J., Dupraz, C., Metselaar, K., Mayus, M.M., Keulen, H., van, Pilbeam, David, Keesman, Karel, Burgess, Paul, Palma, Joao, Werf, W., van der, Burgess, Paul J., Pilbeam, D., van Keulen, Herman, van der Werf, W., Graves, Anil, Palma, João H. N., Stappers, Roel, van Keulen, H., Incoll, L. D., Incoll, L.D., van der Werf, Wopke, Metselaar, Klaas, Mayus, Martina, Stappers, R.J.J., Palma, J.H.N., Burgess, P.J., Graves, A.R.   +27 more
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Utility of dynamical seasonal forecasts in predicting crop yield [PDF]

, 2007
Advance predictions of crop yield using crop simulation models require daily weather input for the whole growing season. Seasonal forecasts, based on coupled ocean–atmosphere climate models, are now available up to 6 mo in advance from a number of ...
Semenov, M. A., Doblas-Reyes, F. J.
core   +1 more source

Crop Yield Prediction using Granular SVM

, 2021
: Agriculture is the backbone of the Indian economy. Farming is a major source of income for many people in developing countries. Prediction of yield of crops is desirable as it can predict the income and minimise losses for the farmersunder unfavorable ...
Dr. G Sudha Sadasivam
core   +1 more source