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Challenges and opportunities in remote sensing-based crop monitoring: a review

National Science Review 2023年第4期10卷 203-219页

作者： Bingfang Wu Miao Zhang Hongwei Zeng Fuyou Tian Andries B Potgieter Xingli Qin Nana Yan Sheng Chang Yan Zhao Qinghan Dong Vijendra Boken Dmitry Plotnikov Huadong Guo Fangming Wu Hang Zhao Bart Deronde Laurent Tits Evgeny Loupian State Key Laboratory of Remote Sensing Science Aerospace Information Research Institute Chinese Academy of Sciences School of Resources and Environment University of Chinese Academy of Sciences Executive Committee of Group on Earth Observations Global Agricultural monitoring (GEOGLAM) Queensland Alliance for Agriculture and Food Innovation The University of Queensland Department of Remote Sensing Flemish Institute of Technological Research Department of Geography and Earth Science University of Nebraska-Kearney Department of Satellite monitoring Technologies Space Research Institute of Russian Academy of Sciences

Building a more resilient food system for sustainable development and reducing uncertainty in global food markets both require concurrent and near-real-time and reliable crop information for decision ***-driven crop monitoring has become a main method to derive crop information at local, regional,and global scales by revealing the spatial and temporal dimensions of crop growth status and ***, there is a lack of quantitative, objective, and robust methods to ensure the reliability of crop information, which reduces the applicability of crop monitoring and leads to uncertain and undesirable consequences. In this paper, we review recent progress in crop monitoring and identify the challenges and opportunities in future efforts. We find that satellite-derived metrics do not fully capture determinants of crop production and do not quantitatively interpret crop growth status; the later can be advanced by integrating effective satellite-derived metrics and new onboard sensors. We have identified that ground data accessibility and the negative effects of knowledge-based analyses are two essential issues in crop monitoring that reduce the applicability of crop monitoring for decisions on food security. Crowdsourcing is one solution to overcome the restrictions of ground-truth data accessibility. We argue that user participation in the complete process of crop monitoring could improve the reliability of crop *** users to obtain crop information from multiple sources could prevent unconscious ***, there is a need to avoid conflicts of interest in publishing publicly available crop information.

关键词： crop monitoring crop condition crop production Ground data Remote Sensing

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Remote sensing-based global crop monitoring: experiences with China’s cropWatch system

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International Journal of Digital Earth 2014年第2期7卷 113-137页

作者： Bingfang Wu Jihua Meng Qiangzi Li Nana Yan Xin Du Miao Zhang Institute of Remote Sensing and Digital Earth Chinese Academy of SciencesBeijingChina

monitoring the production of main agricultural crops is important to predict and prepare for disruptions in food supply and fluctuations in global crop market ***’s global crop-monitoring system(cropWatch)uses remote sensing data combined with selected field data to determine key crop production indicators:crop acreage,yield and production,crop condition,cropping intensity,crop-planting proportion,total food availability,and the status and severity of *** are combined to analyze the balance between supply and demand for various food crops and if needed provide early warning about possible food *** data processing is highly automated and the resulting products provide new kinds of inputs for food security *** paper presents a comprehensive overview of cropWatch as a remote sensingbased system,describing its structure,components,and monitoring *** paper also presents examples of monitoring results and discusses the strengths and limitations of the cropWatch approach,as well as a comparison with other global crop-monitoring systems.

关键词： cropWatch crop monitoring remote sensing crop production

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GEE-Based monitoring method of key management nodes in cotton production

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International Journal of Digital Earth 2023年第1期16卷 1907-1922页

作者： Weiguang Yang Weicheng Xu Kangtin Yan Zongyin Cui Pengchao Chen Lei Zhang Yubin Lan College of Electronic Engineering(College of Artificial Intelligence) South China Agricultural UniversityGuangzhouPeople’s Republic of China Guangdong Laboratory for Lingnan Modern Agriculture GuangzhouPeople’s Republic of China College of Agriculture South China Agricultural UniversityGuangzhouPeople’s Republic of China National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology GuangdongPeople’s Republic of China

The high-temporal-resolution monitoring of key management nodes in cotton management via agricultural remote sensing is vital forfield cotton macro-statistics,particularly for predicting cotton production and obtaining comprehensive *** study examines Shihezi,Xinjiang as a case study,utilizing Sentinel-1 and Sentinel-2 data from 2019 to *** machine learning models(RF,SVM,and CART)were employed to extract annual crop classification area rasters,monitor weekly cultivation progress,and monitor abandoned cropland during the cultivation *** results demonstrate that the random forest model has produced satisfactory results in gridded extraction for cotton classification areas,achieving the producer’s accuracy of the cotton category reached 98.5%,and the kappa coefficient is *** cultivated in 2021 began is a week later than in 2020,yet exhibited a faster cultivate *** proportion of abandoned cottonfields in the study area rose in 2020 compared to *** methodology presented in this study has a certain reference value for exploring the monitoring of continuous changes in crops over the years and macro-monitoring of important activities in the entire growth cycle.

关键词： Google Earth Engine cotton production crop monitoring classification abandoned cropland detection

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Feasibility and reliability of agricultural crop height measurement using the laser sensor array

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Information Processing in Agriculture 2024年第2期11卷 228-236页

作者： Pejman Alighaleh Tarahom Mesri Gundoshmian Saeed Alighaleh Abbas Rohani Department of Biosystems Engineering Faculty of AgricultureFerdowsi University of MashhadMashhadIran Department of Biosystems Engineering University of Mohaghegh ArdabiliArdabilIran Auckland Bioengineering Institute University of AucklandNew Zealand

crop height measurement is widely used to analyze and estimate the overall crop condition and the amount of biomass *** only is manual measurement on a large scale time-consuming but also it is not ***,advanced equipment is available but they require technical skills and are not reasonable for *** article investigates the feasibility of a simple and low-cost measurement system that can monitor crops height of paddy rice and wheat using laser *** designing and fabricating,this system was tested and evaluated in both laboratory and farm *** the laboratory,paddy rice height was measured,and in the field section,the height detection system measured wheat *** results showed that the coefficient of determination(R3)between manual measurement and height detection system measurement for paddy rice was 0.96 and for wheat was ***,there was no significant difference between the two datasets at the level of 5%.Hence,this system can be a useful and accurate tool to monitor crops height in different growing steps.

关键词： Plant height Laser Rice Wheat crop monitoring

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Implementation of drone technology for farm monitoring&pesticide spraying:A review

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Information Processing in Agriculture 2023年第2期10卷 192-203页

作者： Abdul Hafeez Mohammed Aslam Husain S.P.Singh Anurag Chauhan Mohd.Tauseef Khan Navneet Kumar Abhishek Chauhan S.K.Soni Rajkiya Engineering College Ambedkar NagarUP 224122India Rajkiya Engineering College BandaUP 210201India Rajkiya Engineering College BijnorUP 246725India MMMUT GorakhpurUP 273016India

The world receives more than 200 thousand people in a day and it is expected that the total world population will reach 9.6 billion by the year *** will result in extra food demand,which can only be met from enhanced crop ***,modernization of the agricultural sector becomes the need of the *** are many constraints that are responsible for the low production of crops,which can be overcome by using drone technology in the agriculture *** paper presents an analysis of drone technologies and their modifications with time in the agriculture sector in the last *** application of drones in the area of crop monitoring,and pesticide spraying for Precision Agriculture(PA)has been *** work done related to drone structure,multiple sensor development,innovation in spot area spraying has been ***,the use of Artificial Intelligent(AI)and deep learning for the remote monitoring of crops has been discussed.

关键词： Unmanned Aerial Vehicle Agriculture drone Pesticide spraying crop monitoring Precision agriculture

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Assessing and characterizing oilseed rape freezing injury based on MODIS and MERIS data

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International Journal of Agricultural and Biological Engineering 2017年第3期10卷 143-157页

作者： She Bao Huang Jingfeng Zhang Dongyan Huang Linsheng Institute of Agricultural Remote Sensing and Information Technology Application Zhejiang UniversityHangzhou 310058China Key Laboratory of Agricultural Remote Sensing and Information System Zhejiang ProvinceHangzhou 310058China Key Laboratory of Environment Remediation and Ecological Health Ministry of EducationHangzhou 310058China Anhui Engineering Laboratory of Agro-ecological Big Data Anhui UniversityHefei 230601China

The oilseed rape growing in the lower reaches of Yangtze River in China belongs to winter varieties and suffers the risk of freezing *** this research,a typical freezing injury event occurred in Anhui Province was taken as a case study,the freezing damage degree of oilseed rape was assessed,and its development characteristics based on the vegetation metrics derived from MODIS and MERIS data were *** oilseed rape was mapped according to the decline of greenness from bud stage to full-bloom period,with the phenological phases identified adopting time-series *** was more sensitive to freezing injury compared with other commonly used vegetation indices(VIs)calculated using MODIS bands,e.g.,EVI,GNDVI and *** freezing damage degree employing the difference between post-freeze growth and the baseline level in adjacent damage-free growing seasons was *** remote sensing-derived damage levels were supported by their correlation with the cold accumulated temperatures at the county *** performance of several remote sensing indicators of plant biophysical and biochemical parameters was also investigated,i.e.,the photosynthetic rate,canopy water status,canopy chlorophyll content,leaf area index(LAI)and the red edge position(REP),in response to the advance of the freezing *** was found that the photosynthetic rate indicator—Photochemical Reflectance Index(PRI)responded strongly to freezing *** injury caused canopy water loss,which could be detected though the magnitude was not very ***-LAI showed a slow and lagging response to low temperature and restored rapidly in the recovery phase;additionally,REP and the indicator of canopy chlorophyll content—MERIS Terrestrial Chlorophyll Index(MTCI),did not appear to be influenced by freezing *** was concluded that the physiological functions,canopy structure,and organic content metrics showed a descending order of vulnerabilities to freezing injury.

关键词： Brassica napus oilseed rape freezing injury crop monitoring MODIS MERIS

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Modified Metaheuristics with Transfer Learning Based Insect Pest Classification for Agricultural crops

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Computer Systems Science & Engineering 2023年第9期46卷 3847-3864页

作者： Saud Yonbawi Sultan Alahmari T.Satyanarayana murthy Ravuri Daniel E.Laxmi Lydia Mohamad Khairi Ishak Hend Khalid Alkahtani Ayman Aljarbouh Samih M.Mostafa Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia King Abdul Aziz City for Science and Technology RiyadhKingdom of Saudi Arabia Chaitanya Bharathi Institute of Technology HyderabadTelanganaIndia Department of Computer Science and Engineering Prasad V.Potluri Siddhartha Institute of TechnologyVijayawadaIndia Department of Computer Science and Engineering GMR Institute of TechnologyAndhra PradeshRajamIndia School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenangMalaysia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of Computer Science University of Central AsiaNarynKyrgyzstan Faculty of Computers and Information South Valley UniversityQenaEgypt

crop insect detection becomes a tedious process for agronomists because a substantial part of the crops is damaged,and due to the pest attacks,the quality is *** are the major reason behind crop quality degradation and diminished crop ***,accurate pest detection is essential to guarantee safety and crop *** identification of insects necessitates highly trained taxonomists to detect insects precisely based on morphological ***,some progress has been made in agriculture by employing machine learning(ML)to classify and detect *** study introduces a Modified Metaheuristics with Transfer Learning based Insect Pest Classification for Agricultural crops(MMTL-IPCAC)*** presented MMTL-IPCAC technique applies contrast limited adaptive histogram equalization(CLAHE)approach for image *** neural architectural search network(NASNet)model is applied for feature extraction,and a modified grey wolf optimization(MGWO)algorithm is employed for the hyperparameter tuning process,showing the novelty of the *** last,the extreme gradient boosting(XGBoost)model is utilized to carry out the insect classification *** simulation analysis stated the enhanced performance of the MMTL-IPCAC technique in the insect classification process with maximum accuracy of 98.73%.

关键词： Sustainable agriculture crop monitoring pest management insect classification computer vision

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Assessing winter oilseed rape freeze injury based on Chinese HJ remote sensing data

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2015年第2期16卷 131-144页

作者： Bao SHE Jing-feng HUANG Rui-fang GUO Hong-bin WANG Jing WANG Institute of Agricultural Remote Sensing and Information Technology Application College of Environmental and Resource SciencesZhejiang University Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Feidong Agricultural Technology Extension Center

The winter oilseed rape（Brassica napus L.） accounts for about 90% of the total acreage of oilseed rape in China. However, it suffers the risk of freeze injury during the winter. In this study, we used Chinese HJ-1A/1B CCD sensors, which have a revisit frequency of 2 d as well as 30 m spatial resolution, to monitor the freeze injury of oilseed rape. Mahalanobis distance-derived growing regions in a normal year were taken as the benchmark, and a mask method was applied to obtain the growing regions in the 2010–2011 growing season. The normalized difference vegetation index（NDVI） was chosen as the indicator of the degree of damage. The amount of crop damage was determined from the difference in the NDVI before and after the freeze. There was spatial variability in the amount of crop damage, so we examined three factors that may affect the degree of freeze injury： terrain, soil moisture, and crop growth before the freeze. The results showed that all these factors were significantly correlated with freeze injury degree（P0.01, two-tailed）. The damage was generally more serious in low-lying and drought-prone areas; in addition, oilseed rape planted on south- and west-oriented facing slopes and those with luxuriant growth status tended to be more susceptible to freeze injury. Furthermore, land surface temperature（LST） of the coldest day, soil moisture, pre-freeze growth and altitude were in descending order of importance in determining the degree of damage. The findings proposed in this paper would be helpful in understanding the occurrence and severity distribution of oilseed rape freeze injury under certain natural or vegetation conditions, and thus help in mitigation of this kind of meteorological disaster in southern China.

关键词： Brassica napus Freeze injury Remote sensing crop monitoring HJ-CCD

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