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crop yield Prediction Using Machine Learning Approaches on a Wide Spectrum

Computers, Materials & Continua 2022年第9期72卷 5663-5679页

作者： SVinson Joshua ASelwin Mich Priyadharson Raju Kannadasan Arfat Ahmad Khan Worawat Lawanont Faizan Ahmed Khan Ateeq Ur Rehman Muhammad Junaid Ali Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Suranaree University of Technology Nakhon Ratchasima30000Thailand University of Central Punjab Lahore54000Pakistan Government College University Lahore54000Pakistan Virtual University of Pakistan Islamabad Campus45550Pakistan

The exponential growth of population in developing countries likeIndia should focus on innovative technologies in the Agricultural processto meet the future crisis. One of the vital tasks is the crop yield predictionat its early stage;because it forms one of the most challenging tasks inprecision agriculture as it demands a deep understanding of the growth patternwith the highly nonlinear parameters. Environmental parameters like rainfall,temperature, humidity, and management practices like fertilizers, pesticides,irrigation are very dynamic in approach and vary from field to field. In theproposed work, the data were collected from paddy fields of 28 districts in widespectrum of Tamilnadu over a period of 18 years. The Statistical model MultiLinear Regression was used as a benchmark for crop yield prediction, whichyielded an accuracy of 82% owing to its wide ranging input data. Therefore,machine learning models are developed to obtain improved accuracy, namelyBack Propagation Neural Network (BPNN), Support Vector Machine, andGeneral Regression Neural Networks with the given data set. Results showthat GRNN has greater accuracy of 97% (R2 = 0.97) with a normalizedmean square error (NMSE) of 0.03. Hence GRNN can be used for crop yieldprediction in diversified geographical fields.

关键词： Machine learning crop yield prediction computer simulation and modelling

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Soil and water conservation practice effects on soil physicochemical properties and crop yield in Ethiopia:review and synthesis

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Ecological Processes 2022年第1期11卷 206-221页

作者： Endale Bekele Jiru Habtamu Temesgen Wegari College of Agriculture and Natural Resource Dilla UniversityDillaEthiopia College of Agriculture and Natural Resource Bonga UniversityBongaEthiopia

Background:Land degradation is an urgent agenda that requires great effort and resources to ameliorate.It worsens soil components through disrupting ecological functions and threatens agriculture production.To overcome it,different soil and water conservation(SWC)practices have been undertaken in numerous parts of Ethiopia.This paper aims to review the effects of SWC practices on soil physicochemical properties and crop yield.Data were collected from secondary sources via a computer library using various databases based on developed criteria.The collected data were organized,categorized,and analyzed through descriptive statistics.The mean difference of selected soil physicochemical properties obtained from treated and untreated farmland was tested using paired t-test.Factors influencing crop yield on treated farmland were determined by a multiple linear regression model.Results:SWC practices influenced the soil physicochemical properties and crop yield either positively or negatively.The mean values of available phosphorus(10.6 ppm,8.7 ppm),total nitrogen(0.5%,0.4%),soil pH(6.0%,5.8%),soil organic matter(4.4%,3.8%),and soil organic carbon(2.2%,1.8%)were on treated and untreated farmland under physical SWC practices,respectively.Similarly,the mean values of these variables were higher on treated farmland than untreated farmland under both biological and integrated SWC practices.The mean value of bulk density was higher on untreated farmland than treated one and statistically significant under all SWC practices.Fanya juu and stone-faced soil bund constantly increased crop yield,whereas soil bund and stone bund did not.Conclusion:Proper implementation of SWC technologies through integrating physical and biological measures will boost the effectiveness of the practice in restoring soil physicochemical properties and improving crop yield.Meanwhile,government due attention paid for land resources management in Ethiopia,whereby the annual SWC and tree planting campaign underwent for a couple of decades,entails further s

关键词： Land degradation Soil and water conservation crop yield Soil physicochemical properties

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Wastewater irrigation and crop yield:A meta-analysis

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Journal of Integrative Agriculture 2022年第4期21卷 1215-1224页

作者： WANG Han-jie Jingjing WANG Xiaohua YU College of Economics and Management Southwest UniversityChongqing 400715P.R.China Department of Economics University of New MexicoNM 87131USA Department of Agricultural Economics and Rural Development University of GoettingenGoettingen 37073Germany

Although wastewater irrigation in agriculture could be a potential adaptation to water scarcity, its effect on crop yield varies in the literature, making it difficult to evaluate its role in global food security comprehensively. Using agronomic experiment data from 62 studies between 1987 and 2021, we employ a meta-analysis to analyze the factors contributing to the heterogeneous effects of wastewater irrigation on crop yield. Our findings can be summarized as(1) the mean yield growth effect of wastewater irrigation is 19.7%;(2) domestic and breeding wastewater irrigation could significantly increase crop yield, while industrial wastewater has a negative effect although not significant;(3) high nutrients concentration of domestic wastewater is significantly positively correlated with crop yield;(4) agronomic experiment designs in terms of field experiment, experiment times, and fertilizer use could contribute to the divergent crop yield effects across the studies;(5) there is a publication bias of the research results between the English and Chinese literature;(6) the literature mainly sheds light on the short-run effect, and the long-run impact shall be an important research question in the future.

关键词： wastewater irrigation crop yield food security meta-analysis

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In vitro and in silico studies of salicylic acid on systemic induced resistance against bacterial leaf blight disease and enhancement of crop yield

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Journal of Integrative Agriculture 2023年第1期22卷 170-184页

作者： Wannaporn THEPBANDIT Narendra Kumar PAPATHOTI Jayasimha Rayulu DADDAM Nguyen Huy HOANG Toan LE THANH Chanon SAENGCHAN Kumrai BUENSANTEAI School of crop Production Technology Suranaree University of TechnologyNakhon Ratchasima 30000Thailand Department of Animal Science Agriculture Research OrganizationRishon Lezion 7505101Israel Department of Plant Protection Can Tho UniversityCan Tho 900000Vietnam

Salicylic acid(SA)is an effective elicitor to promote plant defenses and growth.This study aimed to investigate rice(Oryza sativa L.)cv.Khao Dawk Mali 105 treated with salicylic acid(SA)-Ricemate as an enhanced plant protection mechanism against bacterial leaf blight(BLB)disease caused by Xanthomonas oryzae pv.oryzae(Xoo).Results indicated that the use of SA-Ricemate as a foliar spray at concentrations of more than 100 mg L^(-1)can reduce the severity of BLB disease by 71%.SA-Ricemate treatment also increased the hydrogen peroxide(H_(2)O_(2))content of rice leaf tissues over untreated samples by 39–61%.Malondialdehyde(MDA)in rice leaves treated with SA-Ricemate also showed an increase of 50–65%when comparing to non-treated samples.The differential development of these defense compounds was faster and distinct when the SA-Ricemate-treated rice was infected with Xoo,indicating plant-induced resistance.Besides,SA-Ricemate elicitor at a concentration of 50–250 mg L^(-1)was correlated with a substantial increase in the accumulation of total chlorophyll content at 2.53–2.73 mg g^(-1)of fresh weight which suggests that plant growth is activated by SA-Ricemate.The catalase-and aldehyde dehydrogenase-binding sites were searched for using the CASTp server,and the findings were compared to the template.Chemsketch was used to design and optimize SA,which was then docked to the catalase and aldehyde dehydrogenase-binding domains of the enzymes using the GOLD 3.0.1 Software.SA is shown in several docked conformations with the enzymes catalase and aldehyde dehydrogenase.All three catalase amino acids(GLN7,VAL27,and GLU38)were discovered to be involved in the creation of a strong hydrogen bond with SA when SA was present.In this mechanism,the aldehyde dehydrogenase amino acids LYS5,HIS6,and ASP2 were all implicated,and these amino acids created strong hydrogen bonds with SA.In field conditions,SA-Ricemate significantly reduced disease severity by 78%and the total grain yield was significantly increased which was an increase of p

关键词： bacterial leaf blight crop yield in vitro in silico rice defense salicylic acid

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Emerging Negative Warming Impacts on Tibetan crop yield

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Engineering 2022年第7期8卷 163-168页

作者： Tsechoe Dorji Shilong Piao Xuhui Wang Chuang Zhao Baohua Liu Anping Chen Shiping Wang Tao Wang Key Laboratory of Alpine Ecology and Biodiversity Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100085China Center for Excellence in Tibetan Plateau Earth Science Chinese Academy of SciencesBeijing 100085China Sino–French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100871China Department of Biology Colorado State UniversityFort CollinsCO 80523USA

Preserving Tibet’s unique history and cultural heritage relies on the sustainability of the Tibetan croplands,which are characterized by highland barley,the only cereal crop cultivated over 4000 m above sea level.Yet it is unknown how these croplands will respond to climate change.Here,using yield statistics from 1985 to 2015,we found that the impact of temperature anomalies on the Tibetan crop yield shifted from nonsignificant(P>0.10)in the 1980s and 1990s to significantly negative(Pcrop yield to temperature anomalies almost doubled,from(–0.13±0.20)to(–0.22±0.14)t·ha^(-1)℃^(–1).The emerging negative impacts of higher temperatures suggest an increasing vulnerability of Tibetan croplands to warmer climate.With global warming scenarios of+1.5 or+2.0℃above the pre-industry level,the temperature sensitivities of crop yield may further increase to(–0.33±0.10)and(–0.51±0.18)t·ha^(-1)℃^(–1),respectively,making the crops 2–3 times more vulnerable to warmer temperatures than they are today.

关键词： Tibet Warming crop yield Barley Negative warming impacts

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Effects of residual plastic film on crop yield and soil fertility in a dryland farming system

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Journal of Integrative Agriculture 2023年第12期22卷 3783-3791页

作者： WANG Dong XI Yue SHI Xiao-yan GUO Chao-li ZHONG Yu-jie SONG Chao GUAN Yu HUANG Lu YANG Qi-feng LI Feng-min College of Ecology Taiyuan University of TechnologyTaiyuan 030024P.R.China College of Agriculture Nanjing Agricultural UniversityNanjing 210095P.R.China State Key Laboratory of Grassland Agro-Ecosystems Institute of Arid Agroecology/College of EcologyLanzhou UniversityLanzhou 730000P.R.China Teaching Affairs Office Jilin Normal UniversitySiping 136099P.R.China Department of Resources and Environmental Science College of Agriculture/The Key Laboratory of Oasis Eco-Agriculture of the Xinjiang Production and Construction CorpsShihezi UniversityShihezi 832000P.R.China Institute of Microbiology Chinese Academy of SciencesBeijing 100101P.R.China Gansu Provincial Department of Agriculture and Rural Affairs Lanzhou 730000P.R.China

Plastic film mulch in agricultural production becomes essential to maintaining crop yields in arid and semiarid areas.However,the presence of residual film in farmland soil has also drawn much attention.In this study,three experiments were conducted.The first two experimental designs included 0,450,1350,and 2700 kg ha^(-1) of residual film pieces of approximately 5 cm side length added to field soil(0-20 cm soil depth)for seven years and added to pots for four years.In the third experiment,1350 kg ha^(-1)of the residual film with different side lengths(2-5,5-10,10-15,and 15-20 cm)was added to field soil for six years to explore the effect of residual film fragment size on soil nutrients,soil microorganisms,crop growth and yields.The residual film had little effect on the soil moisture at a field depth of 0-2(or 0-1.8)m.There were no significant effects on organic carbon,total nitrogen,inorganic nitrogen,total phosphorus or available phosphorus in the 0-20 cm soil layer.The presence of residual film decreased the richness and diversity of the bacterial community of the surface soil of the residual film,but it had no significant effect on the microbial community of the non-surface soil.The emergence rates of wheat and lentils occasionally decreased significantly with different amounts of residue fragments added to the field.At 450-2700 kg ha^(-1),the residual film reduced the plant height and stem diameter of maize and significantly reduced the shoot biomass of harvested maize by 11-19%.The average yields of maize and potato over the seven years decreased,but there were almost no significant statistical differences among the treatments.These results provide important data for a comprehensive scientific understanding of the effects of residual film on soil and crops in dryland farming systems.

关键词： residual film soil nutrients microbial community crop yield

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Soil physical properties,nutrients,and crop yield with two-year tillage rotations under a winter wheat-summer maize double cropping system

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International Journal of Agricultural and Biological Engineering 2022年第1期15卷 172-181页

作者： Baozhong Yin Pan Liu Yongwei Cui Zhaohui Hu Xiangling Li Zhihua Pan Wenchao Zhen College of Resources and Environment Sciences China Agricultural UniversityBeijing 100193China College of Plant Protection Hebei Agricultural UniversityBaoding 071001HebeiChina State Key Laboratory of North China crop Improvement and Regulation Baoding 071001HebeiChina College of Agronomy Hebei Agricultural UniversityBaoding 071001HebeiChina Academy of Agricultural Planning and Engineering Ministry of Agriculture and Rural AffairsBeijing 100125China College of Life Science Hebei Agricultural UniversityBaoding 071001HebeiChina Hebei Normal University of Science and Technology Qinhuangdao 066000HebeiChina Key Laboratory of crop Growth Regulation of Hebei Province Baoding 071001HebeiChina

Winter wheat and summer maize were planted from 2015-2017 to study the effects of different rotational tillage patterns on soil physicochemical properties,crop yield,water content,and fertilizer utilization.The tillage treatments were designed as wheat subsoiling-maize no tillage(WS-MN),wheat rotary tillage-maize subsoiling(WR-MS),wheat subsoiling-maize subsoiling(WS-MS),and conventional wheat rotary tillage-maize no tillage(WR-MN)as a control.Among the four treatments,WS-MN and WR-MS were single-season subsoiling treatments,and WS-MS was a two-season subsoiling treatment.The average soil bulk density decreased by 7.6%in the single-and double-season subsoiling groups compared to the WR-MN group,and the total porosity and noncapillary porosity increased by 10.7%and 12.2%,respectively.Single-or double-season subsoiling treatment was not conducive to water storage in the 0-20 cm soil layer but increased the water content of the 20-140 cm soil layer,and the average soil water content of the 0-140 cm layer was increased by 11.6%in the two-growing season treatment groups compared with the WR-MN group.In WS-MS and WS-MN groups compared with the WR-MN group,the soil ammonium nitrogen content was increased by an average of 18.6%in 0-20 cm soil and 16.8%in 20-100 cm soil;soil nitrate-nitrogen content was decreased by 13.5%in 0-100 cm soil;total organic carbon and microbial carbon contents in the 15-30 cm soil were increased by 18.1%and 12.7%,respectively;and soil urease,catalase,and alkaline phosphatase activities were increased by 46.1%,15.2%,and 23.1%,respectively.Annual crop yield and water use efficiency increased by 8.9%and 15.0%,respectively,in both the single-and double-season subsoiling treatment groups.This study demonstrated the advantages of subsoiling tillage and suggested that it is suitable for crop cultivation in the Haihe Plain,China.

关键词： tillage rotations wheat-maize double cropping soil properties utilization of water and fertilizer crop yield

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Cultivating potential:Harnessing plant stem cells for agricultural crop improvement

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Molecular Plant 2024年第1期17卷 50-74页

作者： Penelope Lindsay Kyle W.Swentowsky David Jackson Cold Spring Harbor Laboratory Cold Spring HarborNY 11724USA National Key Laboratory of crop Genetic Improvement Huazhong Agricultural UniversityWuhanHubei430070China

Meristems are stem cell-containing structures that produce all plant organs and are therefore important targets for crop improvement.Developmental regulators control the balance and rate of cell divisions within the meristem.Altering these regulators impacts meristem architecture and,as a consequence,plant form.In this review,we discuss genes involved in regulating the shoot apical meristem,inflorescence meristem,axillary meristem,root apical meristem,and vascular cambium in plants.We highlight several examples showing how crop breeders have manipulated developmental regulators to modify meristem growth and alter crop traits such as inflorescence size and branching patterns.Plant transformation techniques are another innovation related to plant meristem research because they make crop genome engineering possible.We discuss recent advances on plant transformation made possible by studying genes controlling meristem development.Finally,we conclude with discussions about how meristem research can contribute to crop improvement in the coming decades.

关键词： meristem crop improvement plant transformation plant breeding crop yield gene editing

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AI Method for Improving crop yield Prediction Accuracy Using ANN

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Computer Systems Science & Engineering 2023年第10期47卷 153-170页

作者： T.Sivaranjani S.P.Vimal Department of Electrical and Electronics Engineering V.S.B College of Engineering Technical CampusCoimbatore642109India Department of Electronics and Communication Engineering Sri Ramakrishna Engineering CollegeCoimbatore641022India

crop yield Prediction(CYP)is critical to world food production.Food safety is a top priority for policymakers.They rely on reliable CYP to make import and export decisions that must be fulfilled before launching an agricultural business.crop yield(CY)is a complex variable influenced by multiple factors,including genotype,environment,and their interactions.CYP is a significant agrarian issue.However,CYP is the main task due to many composite factors,such as climatic conditions and soil characteristics.Machine Learning(ML)is a powerful tool for supporting CYP decisions,including decision support on which crops to grow in a specific season.Generally,Artificial Neural Networks(ANN)are usually used to predict the behaviour of complex non-linear models.As a result,this research paper attempts to determine the correlations between climatic variables,soil nutrients,and CYwith the available data.InANN,threemethods,Levenberg-Marquardt(LM),Bayesian regularisation(BR),and scaled conjugate gradient(SCG),are used to train the neural network(NN)model and then compared to determine prediction accuracy.The performance measures of the training,as declared above,such as Mean Squared Error(MSE)and correlation coefficient(R),were determined to assess the ANN models that had been built.The experimental study proves that LM training algorithms are better,while BR and SCG have minimal performance.

关键词： crop prediction accuracy ANN precision agriculture crop yield

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Various Organic Nutrient Sources in Combinations with Inorganic Fertilizers Influence the yield and Quality of Sweet Corn(Zea mays L.saccharata)in New Alluvial Soils of West Bengal,India

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Phyton-International Journal of Experimental Botany 2024年第4期93卷 763-776页

作者： Anindita Das Kanu Murmu Biplab Mitra Pintoo Bandopadhyay Ritesh Kundu Moupiya Roy Saleh Alfarraj Mohammad Javed Ansari Marian Brestic Akbar Hossain Department of Agronomy School of Agricultural SciencesJIS UniversityKalyaniNadiaWest Bengal741235India Department of Agronomy Bidhan Chandra Krishi ViswavidyalayaMohanpurWest Bengal741252India Department of Agronomy Uttar Banga Krishi ViswavidyalayaCoochbeharWest Bengal736101India Office of The Assistant Director of Agriculture Gosaba BlockArampurSouth 24 ParganasWest Bengal743370India Department of Agricultural Statistics Bidhan Chandra Krishi ViswavidyalayaMohanpurWest Bengal741252India Zoology Department College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia Department of Botany Hindu College Moradabad(Mahatma Jyotiba Phule Rohilkhand UniversityBareilly)MoradabadUttar Pradesh244001India Institute of Plant and Environmental Sciences Slovak University of AgricultureTr.A.Hlinku 2Nitra94901Slovak Division of Soil Science Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh

Nutrient management plays a crucial role in the yield and quality of sweet corn.A field experiment was conducted in consecutive two kharif seasons in 2018 and 2019 to investigate the effect of various organic sources of nutrients in combination with inorganic sources on the yield and quality of sweet corn under new alluvial soils of West Bengal,India.Treatments were:T_(1):Control(without fertilizers);T_(2):100%recommended dose(RDF)of chemical fertilizers(CF)(RDF CF_(100%));T_(3):100%recommended dose of N(RDN)through vermicompost(VC)(RDN VC_(100%));T_(4):50 RDN through CF+50%RDN through VC(RDN CF_(50%)+RDN VC50%);T_(5):50%RDF through CF+50%RDN through organic source(OS)1,Soligro(Ascophyllum nodosum)granular(RDN CF_(50%)+RDN OS_(150%));T6:50%RDN through CF+50%RDN through OS 2,Bioenzyme(liquid)(RDN CF_(50%)+RDN OS250%);T7:50%RDN through CF+50%RDN through OS 3,Opteine(Ascophyllum nodosum)filtrate[RDN CF_(50%)+RDN OS350%];T8:50%RDN through VC+50%RDF through OS 1,Soligro(Ascophyllum nodosum)granular(RDN VC50%+RDN OS_(150%)).The OS of fertilizers were VC,SoliGro Gr(OS1)(Ascophyllum nodosum),Bioenzyme liquid(OS2),and Opteine(Ascophyllum nodosum)filtrate(OS3).The inorganic source was traditional CF applied at the RDF(150:75:75 kg ha^(−1) of N:P2O5:K2O).The VC was used to supply 100%RDN as one source or 50%RDN when combined with CF or OS.Maximum fruit yield(10.75 and 10.79 t ha^(−1) in 2018 and 2019,respectively)was recorded when RDF was substituted through CF only,being statistically at par with 50%CF+50%VC on a nitrogen equivalent basis(9.92 and 10.00 t ha^(−1) in 2018 and 2019,respectively)and 100%VC(8.22 and 8.32 t ha^(−1) in 2018 and 2019,respectively).Compared to chemical sources of nutrients,VC-based treatments produced a larger percentage of large-size cob(>25 cm).The 100%VC increased antioxidant(8.35 and 8.45 mg g^(−1)),carotenoid(0.59 and 0.61 mg/100 g),and phenol(55.06 and 55.02 mg 100 g^(−1))content compared with its 50%dose in combination with other sources.The study revealed the potentiality of organic source

关键词： Biostimulants Ascophyllum nodosum crop quality crop yield sweet corn

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