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Big Data Mining & Statistical Issues in Precision Agriculture
Precision Crop Protection
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Authors
Abu Kassim, F
Adamchuk, V.I
Aliabadi Farahani, H
Balasundram, S.K
Berdugo, C.A
Biswas, A
Blackmer, T.M
Boukhalfa, H
Chen, M
Cushnahan, M.Z
Dehne, H
Dehne, H
Deng, W
Dhawale, N
Duft, D.G
Dutilleul, P
Erbe, A
Franco, H.C
Gómez, S
Gillingham, V
Giselsson, T.M
Giselsson, T.M
Hirai, Y
Inoue, E
J�??�?�¸rgensen, R.N
Jørgensen, R.N
Ji, Z
Kindred, D
Kolln, O.T
Kyveryga, P.M
Lauzon‎, S
Lebeau, F
Leroux, G.D
Li, M
Longchamps, L
Magalhaes, P.S
Mahlein, A
Maréchal, P
Marchant, B.P
Massinon, M
Midtiby, H.S
Midtiby, H.S
Mitsuoka, M
Mohd Hanif, A
Murrell, S
Oerke, E
Oerke, E
Okayasu, T
Panneton, B
Qian, J
Qiao, S
Rudolph, S
Rund, Q
Sanches, G.M
Sani, B
Simard, M
Steiner, U
Steiner, U
Sun, C
Sylvester-Bradley, R
Vadamalai, G
Williams, E
Williams, R
Wilson, R
Wood, B.A
Yamakawa, T
Yang, X
Yule, I.J
Zhao, C
Zhao, C
Zhou, J
Topics
Precision Crop Protection
Big Data Mining & Statistical Issues in Precision Agriculture
Type
Poster
Oral
Year
2012
2016
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Topics

Filter results17 paper(s) found.

1. Use of Non-Invasive Sensors to Detect Beneficial Effects of Fungicides on Wheat Physiology

Delay of leaf senescence is a beneficial side effect of fungicides several times studied on cereal crops. Strobilurins have been shown to extend the green leaf area duration (GLAD) for more than one week compared to untreated plants. The use of non-invasive sensors which allow to detect early changes in canopy pigmentation is an excellent method to assess the effect of fungicides on plant senescence. The objective of this study was to evaluate the effect of fungicides on wheat physiology by u... C.A. Berdugo, U. Steiner, E. Oerke, H. Dehne, A. Mahlein

2. Estimating the Plant Stem Emerging Points (PSEPS) of Sugar Beets at Early Growth Stages

Successful intra-row mechanical weed control of sugar beet (beta vulgaris) in early growth stages requires precise knowledge about location of crop plants. A computer vision system for locating Plant Stem Emerging Point (PSEP) of sugar beet in early growth stages was developed and tested. The system is based on detection of individual leaves; each leaf location is described by center of mass and petiole location. After leaf detection the true PSEP locations were annotated manually an... T.M. Giselsson, R.N. Jørgensen, H.S. Midtiby

3. Development of a Quick Diagnosis Method to Target Fields with Better Potential for Site-Specific Weed Management

Site-specific weed management appears as an innovative way of saving herbicides in crop while maintaining yield. This can potentially lead economic and ecological benefits. However, it was reported in the literature that savings range from 1 % to 94 % from one field to the other. This implies that certain ... B. Panneton, M. Simard, G.D. Leroux, L. Longchamps

4. Comparison and Evaluation of Spray Characteristics of Three Types of Variable-Rate Spray

For the present developing direction of "low-input sustainable agriculture", variable-rate technology is increasingly concerned in agricultural engineering field. The technology of variable-rate precision chemical application is the typical of variable-rate technology. In China, agro-chemical production technology has reached the international advanced level, but the chemical applic... C. Zhao, J. Zhou, W. Deng

5. A Non-Destructive Method of Estimating Red Tip Disease in Pineapple

Red Tip disease typically reduces pineapple yields by up to 50%. At present, the causal agent of Red Tip disease is still unconfirmed. B... F. Abu kassim, G. Vadamalai, A. Mohd hanif, S.K. Balasundram

6. Modeling and Decision Support System for Precision Cucumber Protection in Greenhouses

The plant disease... X. Yang, C. Sun, J. Qian, Z. Ji, S. Qiao, M. Chen, C. Zhao, M. Li

7. Thermography as Sensor for Downy Mildew on Roses

Downy mildew caused by Peronospora sparsa is considered one of the most important diseases affecting cut roses under glass in the tropic. Under f... E. Oerke, H. Dehne, U. Steiner, S. Gómez

8. Precision Tools to Evaluate Alternative Weed Management Systems in Soybean

... T.M. Blackmer, P.M. Kyveryga

9. The Effect of Leaf Orientation on Spray Retention on Blackgrass

Spray application efficiency depends on the pesticide application method as well as target properties. A wide range of drop impact angles exists during the spray application process because of drop trajectory and the variability of the leaf orientation. As the effect of impact angle on retention is still poorly documented, laboratory studies were conducted... F. Lebeau, M. Massinon, P. Maréchal, H. Boukhalfa

10. BrainWeed - Teach-In System for Adaptive High Speed Crop / Weed Classification and Targeting

Conducting inter row mechanical weeding requires the precise location of each individual crop plant is known. One technique is to record the global position of each seed when sown using  RTK-GPS systems. An... R.N. JÃ???Ã??Ã?¸rgensen, H.S. Midtiby, T.M. Giselsson

11. Monitoring Soybean Root Development under Till-System Management (TSM) at Dry-Farming Conditions

Root system development is very importance for highest soybean (Glycine max L.) grain yield, especially under arid and semiarid conditions. In order to tillage system management (TSM) for achieved to the optimum yield of soybean in dry-farming cond... H. Aliabadi farahani, B. Sani

12. 'Spatial Discontinuity Analysis' a Novel Geostatistical Algorithm for On-farm Experimentation

Traditional agronomic experimentation is restricted to small plots. Under appropriate experimental designs the effects of uncontrolled environmental variables are minimized and the measured responses (e.g. in yields) are compared to controllable inputs (seed, tillage, fertilizer, pesticides) using well-trusted design-based statistical methods. However, the implementation of such experiments can be complex and the application, management, and harvesting of treated areas might have to... S. Rudolph, B.P. Marchant, V. Gillingham, D. Kindred, R. Sylvester-bradley

13. Surplus Science and a Non-linear Model for the Development of Precision Agriculture Technology

The advent of ‘big data technologies’ such as hyperspectral imaging means that Precision Agriculture (PA) developers now have access to superabundant and highly  heterogeneous data.  The authors explore the limitations of the classic science model in this situation and propose a new non-linear process that is not based on the premise of controlled data scarcity. The study followed a science team tasked with developing highly advanced hyperspectral techniques for a &lsquo... M.Z. Cushnahan, I.J. Yule, B.A. Wood, R. Wilson

14. Analysis of High Yield Condition Using a Rice Yield Predictive Model

Rice production in Japan is facing problems of yield and quality instability owing to recent climate changes and a decline in rice prices, and possible competition with foreign inexpensive rice. Thus, it is becoming more important to stably achieve high yield and quality, while reducing production costs. Various data, including crop growth, farmer’s management styles, yield and quality, has recently become accessible in actual fields using advanced information and communication technolo... Y. Hirai, T. Yamakawa, E. Inoue, T. Okayasu, M. Mitsuoka

15. North American Soil Test Summary

With the assistance and cooperation of numerous private and public soil testing laboratories, the International Plant Nutrition Institute (IPNI) periodically summarizes soil test levels in North America (NA). Soil tests indicate the relative capacity of soil to provide nutrients to plants. Therefore, this summary can be viewed as an indicator of the nutrient supplying capacity or fertility of soils in NA. This is the eleventh summary completed by IPNI or its predecessor, the Potash ... Q. Rund, S. Murrell, A. Erbe, R. Williams, E. Williams

16. Translating Data into Knowledge - Precision Agriculture Database in a Sugarcane Production.

The advent of Information Technology in agriculture, surveying and data collection became a simple task, starting the era of "Big Data" in agricultural production. Currently, a large volume of data and information associated with the plant, soil and climate are collected quick and easily. These factors influence productivity, operating costs, investments and environment impacts. However, a major challenge for this area is the transformation of data and in... G.M. Sanches, O.T. Kolln, H.C. Franco, P.S. Magalhaes, D.G. Duft

17. Integrated Analysis of Multilayer Proximal Soil Sensing Data

Data revealing spatial soil heterogeneity can be obtained in an economically feasible manner using on-the-go proximal soil sensing (PSS) platforms. Gathered georeferenced measurements demonstrate changes related to physical and chemical soil attributes across an agricultural field. However, since many PSS measurements are affected by multiple soil properties to different degrees, it is important to assess soil heterogeneity using a multilayer approach. Thus, analysis of multiple layers of geo... V.I. Adamchuk, N. Dhawale, A. Biswas, S. Lauzon‎, P. Dutilleul