《Information Processing in Agriculture》

作品数：416被引量：1010H指数：13
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《Information Processing in Agriculture》
主办单位：China Agricultural University;China Science Publishing & Media Ltd.
最新期次：2024年3期更多>>
发文主题：BASED_ONUSINGAGRICULTUREPREDICTIONMACHINE_LEARNING更多>>
发文领域：农业科学自动化与计算机技术经济管理理学更多>>
发文基金：国家自然科学基金中国博士后科学基金World Health Organization高等学校学科创新引智计划更多>>
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Key technologies and applications of rural energy internet in China
《Information Processing in Agriculture》2024年第3期277-298,共22页Hai Long Xueqian Fu Wenbo Kong Hongyi Chen Yazhong Zhou Feifei Yang 
funded by the National Natural Science Foundation of China under Grant(52007193);The 2115 Talent Development Program of China Agricultural University,Inter school cooperation plan for 2021 college students’innovation and entrepreneurship training programin Beijing Universities(202198026);URP of China Agricultural University(X2021100190668).
Rural energy plays an important role in realizing the goals of“carbon peak”and“carbon neutrality”in China.In this paper,the countryside was regarded as the research object,and the rural energy internet was constru...
关键词：Energy internet Carbon peak Carbon neutrality New energy Rural energy 
Detection of tiger puffer using improved YOLOv5 with prior knowledge fusion
《Information Processing in Agriculture》2024年第3期299-309,共11页Haiqing Li Hong Yu Peng Zhang Haotian Gao Sixue Wei Yaoguang Wei Jingwen Xu Siqi Cheng Junfeng Wu 
supported by the Key Projects of Educational Department of Liaoning Province(LJKZ0729);National Natural Science Foundation of China(31972846);Liaoning Province Natural Science Foundation(2020-KF-12-09);Foundation of Educational Department of Liaoning Province(LJKZ0730).
Tiger puffer is a commercially important fish cultured in high-density environments,and its accurate detection is indispensable for determining growth conditions and realizing accurate feeding.However,the detection pr...
关键词：AQUACULTURE Detection of fish Object detection Deep learning Prior knowledge YOLOv5 
Artificial intelligence solutions to reduce information asymmetry for Colombian cocoa small-scale farmers
《Information Processing in Agriculture》2024年第3期310-324,共15页Nicolas De la Pena Oscar M.Granados 
supported by the Administrative Department of Science,Technology,and Innovation(former COLCIENCIAS)Grant Number 44842-372-2017;the Universidad de Bogota Jorge Tadeo Lozano(Grant Number 12399070).
The lack of information creates problems for Colombian small-scale farmers,as it impedes them from selling at fair prices and knowing efficient production techniques.Around the world,many technological interventions h...
关键词：Cocoa Information Asymmetry Artificial Intelligence Trade Cycles 
Detection and counting method of juvenile abalones based on improved SSD network
《Information Processing in Agriculture》2024年第3期325-336,共12页Runxue Su Jun Yue Zhenzhong Li Shixiang Jia Guorui Sheng 
jointly supported by the National Key R&D Project(2020YFD0900204);the Yantai Key R&D Project(2019XDHZ084).
Detection and counting of abalones is one of key technologies of abalones breeding density estimation.The abalones in the breeding stage are small in size,densely distributed,and occluded between individuals,so the ex...
关键词：Juvenile abalones Object detection SSD network Multi-layer feature dynamic fusion Multi-scale attention feature extraction Loss feedback training 
A low-cost digital 3D insect scanner
《Information Processing in Agriculture》2024年第3期337-355,共19页Thanh-Nghi Doan Chuong V.Nguyen 
supported by the National Geographic Society Exploration Grants(NGS-KOR-59552T-19).
Collections of biological specimens are essential in entomology laboratories for scientific knowledge and the characterization of natural varieties.It is vital to liberate useful information from physical collections ...
关键词：3D reconstruction ENTOMOLOGY PHOTOGRAMMETRY Structure from motion 
Pig face recognition based on improved YOLOv4 lightweight neural network
《Information Processing in Agriculture》2024年第3期356-371,共16页Chuang Ma Minghui Deng Yanling Yin 
supported by General Project of National Natural Science Foundation of China,Research on Model Construction and Early Warning Method of Abnormal State and Acoustic Sensing Mechanism of Pigs(32172784).
With the vigorous development of intelligence agriculture,the progress of automated largescale and intensive pig farming has accelerated significantly.As a biological feature,the pig face has important research signif...
关键词：Deep learning Convolutional neural network Pig face recognition Attention mechanism 
Soil moisture transfer at the boundary area of soil water retention zone:A case study
《Information Processing in Agriculture》2024年第3期372-384,共13页Qichen Li Toshiaki Sugihara Sakae Shibusawa Minzan Li 
supported by National Key Research and Development Program,grant number 2022YFD2002302.
Plant growth monitoring techniques are of great interest to agricultural engineering.The interaction between root and soil water is one important plant response to environmental variations.This paper aims to develop a...
关键词：Soil water dynamics Root-soil water interaction Frequency analysis Plant response Drip irrigation 
Automated detection of sugarcane crop lines from UAV images using deep learning
《Information Processing in Agriculture》2024年第3期385-396,共12页Joao Batista Ribeiro Renato Rodrigues da Silva Jocival Dantas Dias Mauricio Cunha Escarpinati Andre Ricardo Backes 
the financial support of CNPq(National Council for Scientific and Technological Development,Brazil)(Grant#307100/2021-9);the financial support of Fapemig(Fundacao deAmparo a Pesquisa do Estado de Minas Gerais);financed in part by the Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-Brazil(CAPES)-Finance Code 001.
UAVs(Unmanned Aerial Vehicles)have become increasingly popular in the agricultural sector,promoting and enabling the application of aerial image monitoring in both the scientific and business contexts.Images captured ...
关键词：Crop line Aerial Images CNN UAV Precision agriculture 
Spectroscopic measurement and dielectric relaxation study of vegetable oils
《Information Processing in Agriculture》2024年第3期397-408,共12页S.M.Sabnis D.N.Rander K.S.Kanse Y.S.Joshi A.C.Kumbharkhane 
The financial supports from SERB,DST,New Delhi(Project no.SR/FTP/PS-203/2012 and Project no.SB/S2/LOP-032/2013)are gratefully acknowledged.
The purpose of the current study is to investigate the qualitative characterization of nine different pure vegetable oil samples using dielectric spectroscopy which is a vastly resourceful and reasoned technique in th...
关键词：Vegetable oils Time-domain reflectometry(TDR) Dielectric permittivity(e) Relaxation time(t) Fatty acid profile 
Constrained temperature and relative humidity predictive control:Agricultural greenhouse case of study
《Information Processing in Agriculture》2024年第3期409-420,共12页Hafsa Hamidane Samira EL Faiz Iliass Rkik Mohamed El Khayat Mohammed Guerbaoui Abdelali Ed-Dahhak Abdeslam Lachhab 
The importance of Model Predictive Control(MPC)has significant applications in the agricultural industry,more specifically for greenhouse’s control tasks.However,the complexity of the greenhouse and its limited prior...
关键词：Constrained model predictive control GREENHOUSE MISO systems OPTIMIZATION Relative humidity TEMPERATURE 
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