Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery

Journal Title: Journal of Agricultural Machinery - Year 2014, Vol 4, Issue 2

Abstract

Local information about tillage intensity and ground residue coverage is useful for policies in agricultural extension, tillage implement design and upgrading management methods. The current methods for assessing crop residue coverage and tillage intensity such as residue weighing methods, line-transect and photo comparison methods are tedious and time-consuming. The present study was devoted to investigate accurate methods for monitoring residue management and tillage practices. The satellite imagery technique was used as a rapid and spatially explicit method for delineating crop residue coverage and as an estimator of conservation tillage adoption and intensity. The potential of multispectral high-spatial resolution WorldView-2 local data was evaluated using the total of eleven satellite spectral indices and Linear Spectral Unmixing Analysis (LSUA). The total of ninety locations was selected for this study and for each location the residue coverage was measured by the image processing method and recorded as ground control. The output of indices and LSUA method were individually correlated to the control and the relevant R2 was calculated. Results indicated that crop residue cover was related to IPVI, RVI1, RVI2 and GNDVI spectral indices and satisfactory correlations were established (0.74 - 0.81). The crop residue coverage estimated from the LSUA approach was found to be correlated with the ground residue data (0.75). Two effective indices named as Infrared Percentage Vegetation Index (IPVI) and Ratio Vegetation Index (RVI) with maximum R2 were considered for classification of tillage intensity. Results indicated that the classification accuracy with IPVI and RVI indices in different conditions varied from 78-100 percent and therefore in good agreement with ground measurement, observations and field records.

Authors and Affiliations

M. A. Rostami,M. H. Raoufat,A. A. Jafari,M. Loghavi,M. Kasraei,S. M. J. Nazemsadat,

Keywords

Related Articles

Estimation of Apple Volume and Its Shape Indentation Using Image Processing Technique and Neural Network

Physical properties of agricultural products such as volume are the most important parameters influencing grading and packaging systems. They should be measured accurately as they are considered for any good system desig...

Assessment of Sieve Slope, Sieve Range and Fan Suction on Cleaning Efficiency and Loss Rate of Peanut Thresher

IntroductionPeanut (Arachis hypogaea L.) is an annual plant of the legume genus that is cultivated in 109 countries due to its high-quality oil and seed protein. In Iran, this crop is cultivated on an area of 3000 hectar...

Ergonomic Evaluation Posture of Sugarcane Workers using REBA Method

Introduction One of the most important risk factors for developing musculoskeletal disorders is the inappropriate work of postures and since maintaining the health of the workforce promotes community development. Therefo...

Mass and Volume Determination of Orange Fruit using Ultrasonic Sensors

In this study, an electronic system was built to determine the mass and volume of orange fruits from their dimensions using ultrasonic sensors. The system hardware parts include a metal box, three ultrasonic sensors, a l...

Development and Evaluation of a Semi-automatic Cucumber Seed Extractor

IntroductionAccording to FAO, gherkin and cucumber have been cultivated in about 2.23 million hectares of farmlands around the globe, and about 78000 hectares of Iran agricultural fields have been devoted to gherkin and...

Download PDF file
  • EP ID EP717722
  • DOI -
  • Views 52
  • Downloads 0

How To Cite

M. A. Rostami, M. H. Raoufat, A. A. Jafari, M. Loghavi, M. Kasraei, S. M. J. Nazemsadat, (2014). Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery. Journal of Agricultural Machinery, 4(2), -. https://www.europub.co.uk/articles/-A-717722