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Research Topics Disease and pest of wheat

Research Area/ Research Interest: Disease and pest of wheat

Research Paper Topics for: Masters and PhD Thesis and publication

  1. Identification of Paddy
  2. A comprehensive review on grain legumes as climate-smart crops: challenges and prospects
  3. A Review of Existing Disease Detection Techniques in Infected Plant Leaves
  4. An automated segmentation and classification model for banana leaf disease detection
  5. Assessment of adoption of improved wheat production technology in Nawalparasi (West) district, Nepal
  6. Automatic freezing-tolerant rapeseed material recognition using UAV images and deep learning
  7. ‘Barek
  8. Challenges and Opportunities Faced on Food Production Systems in Arid and Semi-Arid Regions under Climate Change Conditions
  9. Cold Plasma: A Potential Alternative for Rice Grain Postharvest Treatment Management in Malaysia
  12. CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals
  13. Detection of Ramularia collo-cygni DMI-and SDHI-resistant field populations in Austria and the effect of fungicides on the population and genetic diversity
  14. Development and applications of nanobiosensors for sustainable agricultural and food industries: Recent developments, challenges and perspectives
  15. Effect Of Formulation On The Indoxacarb And Lufenuron Dissipation In Maize And Risk Assessment
  16. Evaluation of cluster frontline demonstrations (CFLD) pulses on increasing yield of pigeonpea (Cajanus cajan L.) in tribal district of Mandla, Madhya Pradesh
  17. Evaluation of the advanced yield trial on tropical wheat (Triticum aestivum) mutant lines using selection index and multivariate analysis
  18. FACULTY OF AGRICULTURE (Department of Agriculture)
  19. Fall armyworm (Spodoptera frugiperda)(JE Smith)(Lepidoptera: Noctuidae) infestation: maize yield depression and physiological basis of tolerance
  20. Golden Mosaic Virus Disease of Cowpea in Rajasthan: Survey, Occurrence and Yield Loss
  21. Identification of QTLs affecting post-anthesis heat stress responses in European bread wheat
  22. Impact of cluster frontline demonstrations (CFLD) oil seeds on yield enhancement of mustard (Brassica juncea) in tribal district of Mandla, Madhya Pradesh
  23. Impact of hydropriming and organic manure on seed emergance, seed vigour and grain yield of wheat (Triticum durum L.) under rainfed condition
  24. Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong …
  25. Influence of seven levels of chemical/biostimulator protection on amino acid profile and yield traits in wheat
  26. Inheritance of resistance against northern leaf blight of maize using conventional breeding methods
  27. IOT-Based Technology for Smart Farming
  28. Machine Learning Approaches for Agro-IoT Systems
  29. Machine learning-based farm risk management: A systematic mapping review
  30. Management of stored grain pest with special reference to Callosobruchus maculatus, a major pest of cowpea: A review
  31. Method for Wheat Ear Counting Based on Frequency Domain Decomposition of MSVF-ISCT
  32. Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.)
  33. Non-pesticidal management of golden mosaic virus disease of cowpea (Vigna unguiculata L.): An ecofriendly approach in changing climate
  34. on maize in mid-western USA: An unrecognized or ignored threat to production
  35. Path-coefficient and correlation analysis in Bambara groundnut accessions over environments
  36. Pests, Pandemics, Preparedness and Biosecurity
  37. Plot-level impacts of improved lentil varieties in Bangladesh
  38. Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea
  39. Review of agricultural IoT technology
  41. Soil Test Based Crop Response Phosphorus Calibration Study for Bread Wheat Production in Sinana District of Bale Zone, Southeastern Ethiopia
  42. Spatial approach for diagnosis of yield-limiting nutrients in smallholder agroecosystem landscape using population-based farm survey data
  44. Study on Genetic Variability and Heritability in F5 Segregating Generation for Yield and Its Compenents in Yardlong Bean
  45. Survey of Global Crop Loss
  46. The digitization of agricultural industry–a systematic literature review on agriculture 4.0
  47. The role of CGIAR Germplasm Health Units in averting endemic crop diseases: the example of rice blast in Bangladesh
  48. Transfer learning for multi-crop leaf disease image classification using convolutional neural networks VGG
  49. Valorizing staple crop residues through mushroom production to improve food security in eastern Democratic Republic of Congo
  51. Whole-genome sequencing, trajectory tracking, and field investigation reveal origin and long-distance migration routes of wheat stripe rust in China
  52. Yield Prediction Based on Soil Content Analysis through Intelligent IoT System for Precision Agriculture
  53. … among cereal cyst nematode Heterodera filipjevi, dryland crown rot Fusarium culmorum, and drought on grain yield components and disease severity in bread wheat
  54. … and remobilization from pre-and post-anthesis stages contributes towards grain yield and protein concentration in wheat NAM RILs grown in limited nitrogen condition
  55. … fertilization, and Fusarium graminearum in an Argentinean bread wheat: integrated analysis of disease parameters, mycotoxin contamination, grain quality, and seed …
  56. … septoria leaf blotch forecasts in winter wheat I: the effect of temperature on the temporal distance between critical rainfall periods and the breaking of the control …
  57. A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses
  58. A disease predictive model based on epidemiological factors for the management of bacterial leaf blight of rice
  59. A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
  60. A Framework for Financing Post-Registration Variety Testing System: A Case Study from Poland
  61. A modelling chain combining soft and hard models to assess a bundle of ecosystem services provided by a diversity of cereal-legume intercrops
  62. A new strategy for using historical imbalanced yield data to conduct genome-wide association studies and develop genomic prediction models for wheat breeding
  63. A Novel Approach for Early Detection of Disease and Pest Attack in Food Crop: A Review
  64. A Novel Deep Learning‐Based Method for Detection of Weeds in Vegetables
  65. A Novel Wheat-Rye 2R (2D) Disomic Substitution Line Pyramids Two Types of Resistance to Powdery Mildew
  66. A Polysaccharide of Ganoderma lucidum Enhances Antifungal Activity of Chemical Fungicides against Soil-Borne Diseases of Wheat and Maize by Induced …
  67. A preliminary study of ‘Tidy Field Technology’to assess growth, development and weed control in direct-seeded rice
  68. A Review of Deep Learning in Multiscale Agricultural Sensing
  69. A Review on Deep Learning Technique on Basis of Different Types of Crop Diseases
  70. A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture
  71. Advances in gas sensors and electronic nose technologies for agricultural cycle applications
  72. Agronomic Performances of Fragrant Rice Cultivars under Different Vermicompost Rates
  73. Agronomic Practices to Increase the Yield and Quality of Common Bean (Phaseolus vulgaris L.): A Systematic Review
  74. AI-Based Yield Prediction and Smart Irrigation
  75. An automatic system for pest recognition and forecasting
  76. An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features
  77. An intelligent WSN-UAV-based IoT framework for precision agriculture application
  78. Applications of hyperspectral imaging in plant phenotyping
  79. Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
  80. AquaCrop Simulation of Winter Wheat under Different N Management Practices
  81. Assessment of climate change impact and potential adaptation measures on wheat yield using the DSSAT model in the semi-arid environment
  82. Assessment of pests, natural enemies and soil microorganisms in lowland rice field under organic and inorganic production systems
  83. Assessment of the Impact of Soil Contamination with Cadmium and Mercury on Leaf Nitrogen Content and Miscanthus Yield Applying Proximal Spectroscopy
  84. Assessment of wheat genotypes based on genotype-by-environment interaction for durable resistance to spot blotch disease in hot spot
  85. Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic
  86. Biological control of plant diseases–what has been achieved and what is the direction?
  87. Breeding for Economically and Environmentally Sustainable Wheat Varieties: An Integrated Approach from Genomics to Selection
  88. Carbon footprint and net carbon gain of major long-term cropping systems under no-tillage
  89. Classification and yield prediction in smart agriculture system using IoT
  90. Climate Dependent Crop Management Through Data Modeling
  91. Climate smart agriculture (CSA) technologies
  92. Combining novel technologies with interdisciplinary basic research to enhance horticultural crops
  93. Combining Random Forest and XGBoost Methods in Detecting Early and Mid-Term Winter Wheat Stripe Rust Using Canopy Level Hyperspectral Measurements
  94. Comparative analysis of machine learning techniques for predicting production capability of crop yield
  95. Control of blast disease caused by Pyricularia oryzae with Epicoccum nigrum and microscopic studies of their interaction with rice plants under greenhouse conditions
  96. Control of crop diseases through Integrated Crop Management to deliver climate‐smart farming systems for low‐and high‐input crop production
  97. Crop leaf disease detection and classification using machine learning and deep learning algorithms by visual symptoms: a review.
  98. Crop management: Wheat yield prediction and disease detection using an intelligent predictive algorithms and metrological parameters
  99. Crop phenotyping in a context of Global Change: What to measure and how to do it
  100. Current development, application and constraints of biopesticides in plant disease management
  101. Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review
  102. Deep Learning for Sustainable Agriculture
  103. Deep transfer modeling for classification of Maize Plant Leaf Disease
  104. Detecting Crown Rot Disease in Wheat in Controlled Environment Conditions Using Digital Color Imaging and Machine Learning
  105. Detection and discrimination of disease and insect stress of tea plants using hyperspectral imaging combined with wavelet analysis
  106. Detection of crop diseases using enhanced variability imagery data and convolutional neural networks
  107. Development and validation of a novel core set of KASP markers for the traits improving grain yield and adaptability of rice under direct seeded cultivation conditions
  108. Development of a new model for health assessment in agroecosystems
  109. Development of New Restorer Lines Carrying Some Restoring Fertility Genes with Flowering, Yield and Grains Quality Characteristics in Rice (Oryza saliva L.)
  110. Different stages of disease detection in squash plant based on machine learning
  111. Disease prediction and knowledge extraction in banana crop cultivation using decision tree classifiers
  112. Does straw return increase crop yield in the wheat-maize cropping system in China? A meta-analysis
  113. Economic Injury Levels and Dynamic Action Thresholds for Diuraphis noxia (Hemiptera: Aphididae) in Australian Cereal Crops
  114. Effect of Bt zygosity in transgenic maize hybrids to the non-target pest Dalbulus maidis
  116. Effective Biocontrol of Rice Blast through Dipping Transplants and Foliar Applications
  117. Effectiveness of different storage structures for the management of Mexican bean weevil, Zabrotes subfasciatus (Boheman)(Coleoptera: Bruchidae) on stored common …
  118. Effects of Corn Intercropping with Soybean/Peanut/Millet on the Biomass and Yield of Corn under Fertilizer Reduction
  119. Effects of Host Plant Resistance and Fungicide Applications on Ascochyta Blight Symptomology and Yield of Chickpea
  121. Empowering farmer group to increase rice productivity for promoting food security: a case study of the implementation of jarwo super technology in Lebak District …
  122. Enabling Smart Agriculture by Implementing Artificial Intelligence and Embedded Sensing
  123. Enhancing Crop Yield Prediction Utilizing Machine Learning on Satellite-Based Vegetation Health Indices
  124. Ensemble Averaging of Transfer Learning Models for Identification of Nutritional Deficiency in Rice Plant
  125. Estimating Nutrient Uptake Requirements for Melon Based on the QUEFTS Model
  126. Evaluation of different deep convolutional neural networks for detection of broadleaf weed seedlings in wheat
  127. Evaluation of Individual Plant Growth Estimation in an Intercropping Field with UAV Imagery
  128. Everything You wanted to Know about Smart Agriculture
  129. Exploring the superiority of solar-induced chlorophyll fluorescence data in predicting wheat yield using machine learning and deep learning methods
  130. From cultivar mixtures to allelic mixtures: opposite effects of allelic richness between genotypes and genotype richness in wheat
  131. Functional Framework for IoT-Based Agricultural System
  132. Fungal plant pathogens observed on perennial cereal crops in New York during 2017–2018
  133. Fungicide efficacy on tar spot and yield of corn in the Midwestern United States
  134. Genetic control of compatibility in crosses between wheat and its wild or cultivated relatives
  135. Genome-based prediction of agronomic traits in spring wheat under conventional and organic management systems
  136. Genome-Wide Association Study Reveals Genetic Architecture and Candidate Genes for Yield and Related Traits under Terminal Drought, Combined Heat and …
  137. Genomic Analysis of Resistance to Fall Armyworm (Spodoptera frugiperda) in CIMMYT Maize Lines
  138. High-throughput field crop phenotyping: current status and challenges
  139. Identification of durum wheat grains by using hybrid convolution neural network and deep features
  140. Impact of Climate Change on Food Security and Plant Disease
  141. Impact of Diversified Chemical and Biostimulator Protection on Yield, Health Status, Mycotoxin Level and Economic Profitability in Spring Wheat (Triticum aestivum L.) …
  142. Impact of Pratylenchus penetrans on soybean grown in Wisconsin, USA
  143. Impact of smallholder farmers’ climate-smart adaptation practices on wheat yield in southern Ethiopia
  144. Impacts of Different Water Management Technologies on Water Productivity, Partial Nutrient Balance and Yield of Bread Wheat at Koga Irrigation Scheme
  145. Improving sugarcane growth simulations by integrating multi-source observations into a crop model
  146. Improving wheat productivity reveals an emerging yield gap associated with short-term change in atmospheric humidity
  147. India Digital Ecosystem of Agriculture and Agristack: An Initial Assessment
  148. Infection coefficient of Maize streak virus, leafhoppers composition and control using biopesticids and some cultural practices in agro-ecological zones of Cameroon
  149. Influence of Structure of Detrital Food Webs on Fusarium Head Blight of Winter Wheat
  150. InsectCV: A system for insect detection in the lab from trap images
  151. Integrated approach on stored grain quality management with CO2 monitoring-A review
  152. Internet of Things (IoT) and Sensors Technologies in Smart Agriculture: Applications, Opportunities, and Current Trends
  153. Internet of Things-Based Devices/Robots in Agriculture 4.0
  154. Introduction to deep learning in precision agriculture: Farm image feature detection using unmanned aerial vehicles through classification and optimization process of …
  155. Introduction to Marker-Assisted Selection in Wheat Breeding
  156. Landraces-potential treasure for sustainable wheat improvement
  157. Machine Learning Approaches for Agro IoT Systems
  158. Machine Learning in Cereal Crops Disease Detection: A Review
  159. Machine learning-based remote monitoring and predictive analytics system for crop and livestock
  160. Making Sense of Light: The Use of Optical Spectroscopy Techniques in Plant Sciences and Agriculture
  161. Mechanisms of action and biocontrol potential of Trichoderma against fungal plant diseases-A review
  162. Modeling the Influence of Seasonal Climate Variability on Soybean Yield in a Temperate Environment: South Korea as a Case Study
  163. Monodominant natural vegetation provides models for nature-based cereal production
  164. New Rainfed-Drought Rice Variety developed through In Vitro Mutagenesis
  165. Nitrogen fertilizer management on wheat yield and nitrogen utilization
  166. Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery
  167. Operational Control of Wheat Leaf Rust in a Hyper-continental Climate
  168. Opportunities for Artificial Intelligence in Precision Agriculture Using Satellite Remote Sensing
  169. Optimized spectral index models for accurately retrieving soil moisture (SM) of winter wheat under water stress
  170. Optimizing nitrogen fertilizer inputs and plant populations for greener wheat production with high yields and high efficiency in dryland areas
  171. Paddy crop insurance using satellite-based composite index of crop performance
  172. Partial and total defoliation during the filling period affected grain industrial and nutraceutical quality in soybean
  173. Perils of production with perennial polycultures
  174. Phenotyping Mediterranean Durum Wheat Landraces for Resistance to Zymoseptoria tritici in Tunisia
  175. Plant Diversity Increased Arthropod Diversity and Crop Yield in Traditional Agroforestry Systems but Has No Effect on Herbivory
  176. Predicting yield loss in winter wheat due to frost damage during stem elongation in the central area of Huang-huai plain in China
  177. Prediction of Agriculture Yields Using Machine Learning Algorithms
  178. Prediction of crop yield and pest-disease infestation
  179. Prediction of greenhouse tomato yield using artificial neural networks combined with sensitivity analysis
  180. Progression of chocolate spot (Botrytis fabae) and grain yield of faba bean as influenced by integration of fungicide rate and host resistance in Southern Ethiopia
  181. Promoting crop pest control by plant diversification in agricultural landscapes: A conceptual framework for analysing feedback loops between agro-ecological and …
  182. Quality Control and Assurance in the Snack Food Industry
  183. Rapid Diagnosis of Nitrogen Nutrition Status in Summer Maize over Its Life Cycle by a Multi-Index Synergy Model Using Ground Hyperspectral and UAV Multispectral …
  184. Recent advancements and challenges of Internet of Things in smart agriculture: A survey
  185. Registration of ‘KS Hamilton’hard red winter wheat
  186. Regulating pests—material politics and calculation in integrated pest management
  187. Remote sensing for agriculture and resource management
  188. Rice Crop Diseases and Pest Detection Using Edge Detection Techniques and Convolution Neural Network
  189. Rice Plant Disease Identification using Artificial Intelligence Approaches
  190. Role of Satellites in Agriculture
  191. Sensitivity of the US Wheat Powdery Mildew Population to Quinone Outside Inhibitor Fungicides and Determination of the Complete Blumeria graminis f. sp. tritici …
  192. Sensor-Based Monitoring of Soil and Crop Health for Enhancing Input Use Efficiency
  193. Straw return strategies to improve soil properties and crop productivity in a winter wheat-summer maize cropping system
  195. SVM, CNN and VGG16 Classifiers of Artificial Intelligence Used for the Detection of Diseases of Rice Crop: A Review
  196. The effect of treatment of various strains of Bacillus subtilis on the productivity of winter wheat
  197. The effects of two-step tempering treatment on the physical, chemical and technological properties of flour in bread wheats (Triticum aestivum L.)
  198. The Potential Impact of Climate Extremes on Cotton and Wheat Crops in Southern Punjab, Pakistan
  199. The Role of Remote Sensing Technology (Latest Geospatial) for Agriculture in Indonesia
  200. The use of microbial inoculants for biological control, plant growth promotion, and sustainable agriculture: A review
  201. Thermal imaging for assessment of maize water stress and yield prediction under drought conditions
  202. Towards a global characterization of winter wheat cultivars behavior in response to stressful environments during grain-filling
  203. Trichoderma: a potential biopesticide for sustainable management of wilt disease of crops
  204. UAV-based remote sensing in plant stress imagine using high-resolution thermal sensor for digital agriculture practices: a meta-review
  205. Wheat Growth, Yield, and Quality Under Water Deficit and Reduced Nitrogen Supply. A Review
  206. Wheat production in the highlands of Eastern Ethiopia: opportunities, challenges and coping strategies of rust diseases
  207. Wheat rust disease detection techniques: a technical perspective
  208. Wheat yield losses from pests and pathogens in China
  209. Wind lodging-associated yield loss is reduced by wheat genetic diversity
  210. Yield to the Data: Some Perspective on Crop Productivity and Pesticides

Research Topics Disease and pest detection


Research Topics Biology


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