{"title":"Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control","authors":"Sylvester A. Badua, Ajay Sharda, Bhaskar Aryal","doi":"10.1007/s11119-024-10151-y","DOIUrl":null,"url":null,"abstract":"<p>Uniform plant spacing, seeding depth, and emergence are important factors heavily influenced by both machine settings and soil conditions. Understanding load distribution across the planter toolbar at varying planter settings and soil conditions provide feedback to improve planter performance and achieve desired seed placement consistency. One important soil property that affects opening disc load requirement in creating seed trench is soil texture which relates to soil strength. However, none of the existing methods (soil apparent electrical conductivity (ECa) maps, historic soil maps, and cone penetrometer) provide accurate soil strength data on a high spatial resolution which could be used to optimize planter performance. This study was conducted to (1) quantify the percentage of time row-planters need uplift during planting and (2) quantify opening disc loads using real-time machine control system recorded data across different ECa zones. Results showed that uplift events varied from 13 to 18% with wing and track sections revealed higher instances of uplift. Higher instances of uplift were observed on the non-track section for planter with wing wheels. Results revealed a modest correlation between soil ECa and opening disc load with 435 N more or 12% higher opening disc load applied on high soil ECa zones as compared in low soil ECa zones.</p>","PeriodicalId":20423,"journal":{"name":"Precision Agriculture","volume":"48 1","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Precision Agriculture","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s11119-024-10151-y","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Uniform plant spacing, seeding depth, and emergence are important factors heavily influenced by both machine settings and soil conditions. Understanding load distribution across the planter toolbar at varying planter settings and soil conditions provide feedback to improve planter performance and achieve desired seed placement consistency. One important soil property that affects opening disc load requirement in creating seed trench is soil texture which relates to soil strength. However, none of the existing methods (soil apparent electrical conductivity (ECa) maps, historic soil maps, and cone penetrometer) provide accurate soil strength data on a high spatial resolution which could be used to optimize planter performance. This study was conducted to (1) quantify the percentage of time row-planters need uplift during planting and (2) quantify opening disc loads using real-time machine control system recorded data across different ECa zones. Results showed that uplift events varied from 13 to 18% with wing and track sections revealed higher instances of uplift. Higher instances of uplift were observed on the non-track section for planter with wing wheels. Results revealed a modest correlation between soil ECa and opening disc load with 435 N more or 12% higher opening disc load applied on high soil ECa zones as compared in low soil ECa zones.
期刊介绍：
Precision Agriculture promotes the most innovative results coming from the research in the field of precision agriculture. It provides an effective forum for disseminating original and fundamental research and experience in the rapidly advancing area of precision farming.
There are many topics in the field of precision agriculture; therefore, the topics that are addressed include, but are not limited to:
Natural Resources Variability: Soil and landscape variability, digital elevation models, soil mapping, geostatistics, geographic information systems, microclimate, weather forecasting, remote sensing, management units, scale, etc.
Managing Variability: Sampling techniques, site-specific nutrient and crop protection chemical recommendation, crop quality, tillage, seed density, seed variety, yield mapping, remote sensing, record keeping systems, data interpretation and use, crops (corn, wheat, sugar beets, potatoes, peanut, cotton, vegetables, etc.), management scale, etc.
Engineering Technology: Computers, positioning systems, DGPS, machinery, tillage, planting, nutrient and crop protection implements, manure, irrigation, fertigation, yield monitor and mapping, soil physical and chemical characteristic sensors, weed/pest mapping, etc.
Profitability: MEY, net returns, BMPs, optimum recommendations, crop quality, technology cost, sustainability, social impacts, marketing, cooperatives, farm scale, crop type, etc.
Environment: Nutrient, crop protection chemicals, sediments, leaching, runoff, practices, field, watershed, on/off farm, artificial drainage, ground water, surface water, etc.
Technology Transfer: Skill needs, education, training, outreach, methods, surveys, agri-business, producers, distance education, Internet, simulations models, decision support systems, expert systems, on-farm experimentation, partnerships, quality of rural life, etc.
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