[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124648-en":3,"doc-seo-124648-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124648,549758146520,"Patrick","https://ap-avatar.wpscdn.com/avatar/80002397d8c0411e94?_k=1775819394049821470",8,"Research & Report","Analysis and prediction of seed quality using machine learning","Seed quality directly influences agricultural yield, yet existing seed prediction analyses often lack a robust validation mechanism. This work proposes a machine learning–based prediction model to determine whether seeds are premium, standard, or regular quality, using convolutional neural networks trained on a dedicated seed dataset. Training and validation data support categorization, while testing data assess predictive performance. Results are evaluated via CNN training accuracy and overall prediction accuracy, aiming for more reliable seed quality forecasting and improved harvest outcomes.","International Journal of Electrical and Computer Engineering (IJECE)  \nVol. 13, No. 5, October 2023, pp. 5770~5781  \nISSN: 2088-8708, DOI: 10. 11591/ijece.v13i5 .pp5770-5781 􀂈 5770  \n\n| Analysis and prediction of seed quality using machine learning\u003Cbr>Raghavendra Srinivasaiah1, Meenakshi2, Ravikumar Hodikehosahally Channegowda3,\u003Cbr>Santosh Kumar Jankatti4\u003Cbr>1Department of Computer Science and Engineering, CHRIST Deemed to be University, Bengaluru, India 2Department of Computer Science and Engineering, RNS Institute of Technology, Bengaluru, India 3Department of Electronics and Communication, Dayananda Sagar Academy of Technology and Management, Bengaluru, India 4Department of Computer Science and Engineering, Dayananda Sagar University, Bengaluru, India |  |\n| --- | --- |\n| Article Info\u003Cbr>Article history:\u003Cbr>Received Nov 12, 2022 Revised Feb 2, 2023 Accepted Mar 9, 2023\u003Cbr>Keywords:\u003Cbr>Agriculture\u003Cbr>Classification Convolution neural network Prediction\u003Cbr>Seed quality\u003Cbr>Corresponding Author: | The mainstay of the economy has always been agriculture, and the majority of tasks are still carried out without the use of modern technology. Currently, the ability of human intelligence to forecast seed quality is used. Because it lacks a validation method, the existing seed prediction analysis is ineffective. Here, we have tried to create a prediction model that uses machine learning algorithms to forecast seed quality, leading to high crop yield and high-quality harvests. For precise seed categorization, this model was created using convolutional neural networks and trained using the seed dataset. Using data that can be used to forecast the future, this model is used to learn about whether the seeds are of premium quality, standard quality, or regular quality. While testing data are employed in the algorithm ’s predictive analytics, training data and validation data are used for categorization reasons. Thus, by examining the training accuracy of the convolution neural network (CNN) model and the prediction accuracy of the algorithm, the project ’s primary goal is to develop the best method for the more accurate prediction of seed quality.\u003Cbr>This is an open access article under the CC BY-SA license.\u003Cbr>\u003Cbr>ABSTRACT |\n| Raghavendra Srinivasaiah\u003Cbr>Department of Computer Science and Engineering, CHRIST Deemed to be University Kanmanike, Kumbalgodu, Mysore Road, Bangalore-560074\u003Cbr>Email: [raghav.trg@gmail.com](raghav.trg@gmail.com) |  |\n\n1. INTRODUCTION  \nThe quality of the seeds that are spread to new growth is one of the crucial factors in agriculture to ensure that the yields are excellent. Unfortunately, some crops fail to generate the necessary quantity of seeds that may sprout, and between 35% and 40% of the seeds are discarded. Later improving the properties of the seeds generated at the time of their growth and aggregating using different techniques, the ensuing phase is to handpick the seeds before they are carried out to the field [1]–[3] .  \nMachine vision and near-infrared spectroscopy are two non-critical testing methods that have been utilized extensively in the last 20 years to anticipate the quality of foods and agricultural products. These non-destructive techniques are useful because they encourage simultaneous assessment of food ’s chemical as well as physical data without causing the ingredient any harm. The main advantage of these techniques is that they consume less time and low cost and these utilizations provide good benefits to food manufacturing. In general, non-destructive approaches have a promising future for evaluating the nutritional value of food and crops, and the development of more accurate and efficient imaging systems [4], [5] .  \nThe prediction algorithm is developed to help people to maintain a validated procedure and structure in determining seed quality by evaluating seeds they want to grow for production or research purposes in the agriculture industry. Because in today’s world, we are still","cbCaioGAnwvdH9Np","https://ap.wps.com/l/cbCaioGAnwvdH9Np","pdf",278055,1,12,"English","en",105,"# Introduction\n## Seed quality and agricultural impact\n## Non-destructive testing methods\n## Machine learning–based prediction approach\n## Seed germination and vigor evaluation","[{\"question\":\"Why is seed quality prediction important in agriculture?\",\"answer\":\"Seed quality is a crucial factor for ensuring high crop yields and reliable germination. It also supports evaluating different seeds and improving efficiency across the food chain.\"},{\"question\":\"What problem does the proposed method address?\",\"answer\":\"Existing seed prediction analysis is often ineffective because it lacks a validation method. The proposed model introduces a validated prediction framework for seed quality.\"},{\"question\":\"How does the model predict seed quality categories?\",\"answer\":\"The approach uses convolutional neural networks trained on a seed dataset to classify seeds into premium, standard, or regular quality. Training and validation data support categorization, while testing data evaluate prediction performance.\"}]","Analysis and prediction of seed quality using machine learning | PDF",1785893515,30,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"analysis-and-prediction-of-seed-quality-using-machine-learning","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/analysis-and-prediction-of-seed-quality-using-machine-learning/124648/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is seed quality prediction important in agriculture?","Question",{"text":75,"@type":76},"Seed quality is a crucial factor for ensuring high crop yields and reliable germination. It also supports evaluating different seeds and improving efficiency across the food chain.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What problem does the proposed method address?",{"text":80,"@type":76},"Existing seed prediction analysis is often ineffective because it lacks a validation method. The proposed model introduces a validated prediction framework for seed quality.",{"name":82,"@type":73,"acceptedAnswer":83},"How does the model predict seed quality categories?",{"text":84,"@type":76},"The approach uses convolutional neural networks trained on a seed dataset to classify seeds into premium, standard, or regular quality. Training and validation data support categorization, while testing data evaluate prediction performance.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":29,"slug":121},"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]