Optimization of soybean planting density and fertilizing amount based on BP neural network.

ZG Dong, FL Wang, QF Song, HP Wang - International Agricultural …, 2018 - cabdirect.org
Planting density and fertilizer application rate are the key factors affecting crop yield, a series
of serious consequences were caused by unreasonable planting density and fertilizer …

Research and design of precision fertilizer application control system based on PSO-BP-PID algorithm

Z Meng, L Zhang, H Wang, X Ma, H Li, F Zhu - Agriculture, 2022 - mdpi.com
China has had the highest fertilizer use rate in the world for years, but today a large number
of farmlands still use traditional manual fertilizer application methods, which rely entirely on …

Grain yield prediction of support vector machine based on hybrid intelligent algorithm.

X Gao, F Han - 2020 - cabidigitallibrary.org
Considering the non-linearity of grain yield, the prediction model of support vector machine
was proposed based on hybrid intelligent algorithm. To solve the problem that particle …

A Pork Price Prediction Model Based on a Combined Sparrow Search Algorithm and Classification and Regression Trees Model

J Qin, D Yang, W Zhang - Applied Sciences, 2023 - mdpi.com
The frequent fluctuation of pork prices has seriously affected the sustainable development of
the pork industry. The accurate prediction of pork prices can not only help pork practitioners …

Teaching Quality Evaluation of Animal Science Specialty Based on IPSO‐BP Neural Network Model

L Chen, L Wang, C Zhang - Computational Intelligence and …, 2022 - Wiley Online Library
Teaching quality evaluation is one of the most commonly used educational evaluation
methods, which is used to evaluate teachers' teaching ability and teaching effect. In order to …

Forecasting the total power of China's agricultural machinery based on bp neural network combined forecast method

J Ju, L Zhao, J Wang - … and Computing Technologies in Agriculture VI: 6th …, 2013 - Springer
In view of the limitations of single forecast model, forecasted results of different models will
have some differences, in order to improve the forecast precision and the forecast results …

Establishment of broiler quality estimation model based on depth image and BP neural network

L Wang, C Sun, W Li, Z Ji, X Zhang… - Transactions of the …, 2017 - ingentaconnect.com
Body weight is one of the main growth indices in broiler production, which is a
comprehensive parameter in the broiler growth. The most common method to measure …

Prediction of grain yield in Henan Province based on grey BP neural network model

B Li, Y Zhang, S Zhang, W Li - Discrete Dynamics in Nature and …, 2021 - Wiley Online Library
BP neural network (BPNN) is widely used due to its good generalization and robustness, but
the model has the defect that it cannot automatically optimize the input variables. In …

A Prediction Model of Forest Preliminary Precision Fertilization Based on Improved GRA‐PSO‐BP Neural Network

C Zuxing, W Dian - Mathematical Problems in Engineering, 2020 - Wiley Online Library
The optimal amount of fertilizer application which was needed by the trees and the factors
that influence the fertilization have an intricated nonlinear relationship. According to the …

Prediction of pH value in industrialized aquaculture based on ensemble empirical mode decomposition and improved artificial bee colony algorithm

L Xu, Q Li, S Liu, D Li - Transactions of the Chinese Society of …, 2016 - ingentaconnect.com
The pH value in industrialized cultivation ponds is crucial to the survival of Litopenaeus
Vannamei. Grasping the trend of the pH value timely and accurately is the key for the high …