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Tewari, V. K.
- Hosts and the Pathogen - Species Combinations of the Genus Pythium in India
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Indian Forester, Vol 127, No 8 (2001), Pagination: 910-919Abstract
This communication embodies the checklists of hosts, their families and the diseases caused by various known species of the fungal genus Pythium in India.- Digital Map-Based Site-Specific Granular Fertilizer Application System
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PDF Views:100
Authors
Affiliations
1 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
2 Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur 721 302, IN
3 ICAR-Central Potato Research Institute, Shimla 171 001, IN
1 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
2 Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur 721 302, IN
3 ICAR-Central Potato Research Institute, Shimla 171 001, IN
Source
Current Science, Vol 111, No 7 (2016), Pagination: 1208-1213Abstract
Variable rate application is the process of applying different rates of crop inputs according to the variability within an agricultural field. Variable rate fertilizer application is a technology that regulates the fertilizer application rate based on site-specific needs within a field. A GPS-based variable rate fertilizer application (VRFA) system was developed, which consisted of a differential global positioning system (DGPS), micro-processor, micro-controller, DC motor actuator, power supply, threaded screw arrangement and fluted roller metering mechanism. The digital soil nutrient availability and application maps for targeted yield were also developed. DGPS was used for real-time identification of grids. Based on the microcontroller algorithm, application rates were varied by changing the feed roller exposure length. The observed fertilizer application rate was 5 and 300 kg/ha for exposure length of 0 and 44 mm respectively. The results indicate that the fertilizer application rate changes according to the prescribed application rate at the identified grid with coefficient of variation (CV) of 11.7-15%. The values of ischolar_main mean square error and relative difference of the system for different levels of application rates were 2.62 and 3.71 respectively. It can be concluded that the developed VRFA system closely meets the target fertilizer application rate at the selected grid point.Keywords
Differential Global Positioning System, Fertilizer Applicator, Interpolation, Micro-Controller, Soil Nutrient Map.References
- Mouazen, A. M., Karoui, R., Decksers, J., De Baerdemaeker, J. and Ramon, H., Potential of visible and near-infrared spectroscopy to derive colour groups utilising the Munsell soil colour charts. Biosyst. Eng., 2007, 97(2), 131–143.
- Tola, E., Kataoka, T., Burce, M., Okamoto, H. and Hata, S., Granular fertilizer application rate control system with integrated output volume measurement. Biosyst. Eng., 2008, 101(4), 411–416.
- Ramamurthy, V., Naidu, L. G. K., Kumar, S. C. R., Srinivas, S. and Hegde, R., Soil-based fertilizer recommendations for precision farming. Curr. Sci., 2009, 97(5), 641–647.
- Reyes, J. F., Esquivel, W., Cifuentes, D. and Ortega, R., Field testing of an automatic control system for variable rate fertilizer application. Comput. Electron. Agric., 2015, 113, 260–265.
- Norton, E. R., Clark, L. J. and Borrego, H., Evaluation of variable rate fertilizer application in an Arizona cotton production system. Arizona Cotton Rep., 2005, 145–151.
- Kim, Y. J., Kim, H. J., Rye, K. H. and Rhee, J. Y., Fertilizer application performance of a variable-rate pneumatic granular applicator for rice production. Biosyst. Eng., 2008, 100, 498–510.
- Jung, I. G., Chung, S. O., Sung, J. H. and Lee, C. K., Development of map-based variable-rate applicator. In Proceedings of the KSAM Summer Conference, 2006, vol. 11(2), pp. 345–348.
- Forouzanmehr, E. and Loghavi, M., Design, development and field evaluation of a map-based variable rate granular fertilizer application control system. Agric. Eng. Int. J., 2012, 14(4), 255–261.
- Cho, S. I., Choi, S. H. and Kim, Y. Y., Development of electronic mapping system for N-fertilizer dosage using real-time soil organic matter sensor and DGPS. Biosyst. Eng., 2002, 27(3), 259–266.
- Schumann, A. W., Miller, W. M., Zaman, Q. U., Hostler, K. H., Buchanon, S. and Cugati, S., Variable rate granular fertilization of citrus groves: spreader performance with single-tree prescription zones. Appl. Eng. Agric., 2006, 22(1), 19–24.
- Chattha, H. S., Zaman, Q. U., Chang, Y. K., Read, S., Schumann, A. W., Brewster, G. R. and Farooqu, A. A., Variable rate spreader for real-time spot-application of granular fertilizer in wild blueberry. Comput. Electron. Agric., 2014, 100, 70–78.
- Fulton, J. P., Shearer, S. A., Higgins. S. F., Hancock, D. W. and Stombaugh, T. S., Distribution pattern variability of granular VRT applicator. Trans. ASABE, 2005, 48(6), 2053–2064.
- Sinfield, J. V., Fagerman, D. and Colic, O., Evaluation of sensing technologies for on-the-go detection of macro-nutrients in cultivated soils. Comput. Electron. Agric., 2010, 70, 1–18.
- Maleki, M. R., Holm, L. V., Ramon, H., Merckx, R., Baerdemaeker, J. D. and Mouazen, A. M., Phosphorus sensing for fresh soils using visible and near infrared spectroscopy. Biosyst. Eng., 2006, 95(3), 425–436.
- Swisher, D. W., Borgelt, S. C. and Sudduth, K. A., Optical sensor for granular fertilizer flow rate measurement. Trans. ASABE, 2002, 45(4), 881–888.
- Robinson, T. P. and Metternicht, G., Testing the performance of spatial interpolation techniques for mapping soil properties. Comput. Electron. Agric., 2006, 50, 97–108.
- On-The-Go Position Sensing and Controller Predicated Contact-Type Weed Eradicator
Abstract Views :263 |
PDF Views:95
Authors
Affiliations
1 Biological Systems Engineering, Washington State University, Pullman, WA 99164, US
2 Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur 721 302, IN
3 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
4 CAR-Central Potato Research Institute, Shimla 171 001, IN
1 Biological Systems Engineering, Washington State University, Pullman, WA 99164, US
2 Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur 721 302, IN
3 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
4 CAR-Central Potato Research Institute, Shimla 171 001, IN
Source
Current Science, Vol 114, No 07 (2018), Pagination: 1485-1494Abstract
This article presents a robust contact-type weed eradicator based on position sensing, digital image processing and microcontroller for weed control in row crops. The imaging system determines the weed density between the crop rows using an image analyser developed in Visual Studio Open computer vision platform for use under varying illumination levels. Graphic user interface was developed for parametric adjustments of the image analyser. The image analyser conducts image analysis after image acquisition and the data is sent via computer serial to microcontroller for pulse width modulation controlled chemical release. Solenoid valves are employed for liquid release on sponge rollers. The contact-type technique overcomes losses due to chemical drift and percolation resulting in an efficient application. The machine locomotion sensing is done through an inductive type proximity switch. The developed system was calibrated in laboratory, followed by extensive field tests. The average weeding efficiency reported was 90.30% with lowest plant damage of 5.74% and 7.91% and high yield coefficients of 26.15 g/plant and 581.74 g/plant in two selected crops of groundnut and maize plantation. The technology saved about 79.50% of herbicide marking it as a robust and eco-friendly technology.Keywords
Contact Application, Graphic User Interface, Image Analyser, Locomotion Sensing, Microcontroller, Weed Density.References
- Mada, D. A. and Medugu, A. I., Study on environmental impact of pesticides application with agricultural sprayers in southern Adamawa state, Nigeria. IOSR J. Engg., 2014, 4(8), 05–11.
- Christensen, S., Heisel, T. and Walter, M., Patch spraying in cereals. In Proceedings of the Second International Weed Control Congress, Denmark, Copenhagen, 1996, pp. 963–968.
- Sprague, M. A. and Triplett, G. B. (eds), In No-tillage and Surface-tillage Agriculture, Wiley, New York, 1986, pp. 1–18.
- Wyse, D. L. and Habstritt, C., A roller herbicide applicator. In Proceedings of Northern Central Weed Control Conference, St Louis, Missouri, 1977, 32, pp. 144–145.
- Gaultney, L. D., Gibson, H. G., Holt, H. and Krutz, G. W., Rightoffway woody brush control with herbicide roller application. Trans. ASAE, 1984, 27(3), 701–705.
- Messersmith, C. G. and Lym, R. G., Roller application of picloram for leafy spurge control in pastures. Weed Sci., 1985, 33, 258–262.
- Cohen, A. and Shaked, S., Carpet recirculating glyphosate applicator for row crops. Phytoparasitica, 1982, 10(4), 278.
- Mayeux Jr, H. S. and Crane, A. R., Application of herbicides on rangelands with a carpeted roller: control of golden weeds (Isocoma spp.) and false broom weed (Ericameria austrotexana). Weed Sci., 1984, 32, 845–849.
- Welker, W. V., A hand roller wiper for lawns and gardens. In Proceedings of 39th Annual Meeting of the Northeastern Weed Science Society, USDA-ARS, 1985, p. 259.
- Tewari, V. K. and Mittra, B. N., Low-cost herbicide applicating machine with weeder attachment (IITWAM-82). In Ninth Conference of the Asian-Pacific Weed Science Society, Metro Manila, Philippines, 1982, pp. 424–427.
- Tewari, V. K., Kumar, A. A., Nare, B., Satya Prakash and Tyagi, A., Microcontroller based roller contact type herbicide applicator for weed control under row crops. Comput. Electron. Agric., 2014, 104, 40–45.
- Bulanon, D. M., Kataoka, T., Ota, Y. and Hiroma, T., A segmentation algorithm for the automatic recognition of Fuji apples at harvest. Biosys. Eng., 2002, 83(4), 405–412.
- Graniatto, P. M., Navone, H. D., Verdes, P. F. and Ceccatto, H. A., Weed seeds identification by machine vision. Comput. Electron. Agric., 2002, 33, 91–103.
- Carrara, M., Comparetti, A., Febo, P. and Orlando, S., Spatially variable rate herbicide application on durum wheat in Sicily. Biosys. Eng., 2004, 87(4), 387–392.
- Paice, M. E. R., Miller, P. C. H. and Day, W., Control requirements for spatially selective herbicide sprayers. Comput. Electron. Agric., 1996, 14(2–3), 163–177.
- Thompson, J. F., Stafford, J. V. and Miller, P. C. H., Potential for automatic weed detection and selective herbicide application. Crop Prot., 1991, 10, 254/259.
- Tian, L., Development of a sensor-based precision herbicide application system. Comput. Electron. Agric., 2002, 36(2–3), 133–149.
- Thorp, K. R. and Tian, L. F., Performance study of variable-rate herbicide applications based on remote sensing imagery. Biosys. Eng., 2004, 88(1), 35–47.
- Giles, D. K. and Comino, J. A., Variable flow control for pressure atomization nozzles. Trans. SAE, J. Comm. Vehicles, 1989, 98(2), 237–249.
- Han, S., Hendrickson, L. and Ni, B., A variable rate application system for sprayers. In Proceedings of the Fifth International Conference on Precision Agriculture, ASA, CSSA, and SSSA, Madison, WI, USA, 2000.
- Viswanath, C. S., Handbook of Agriculture, Indian Council of Agricultural Research, New Delhi, India, 2002, pp. 263–295.
- Sonar Sensing Predicated Automatic Spraying Technology for Orchards
Abstract Views :345 |
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Authors
Affiliations
1 Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur 721 302, IN
2 Biological Systems Engineering, Washington State University, Pullwan, WA-99164, US
3 ICAR-Central Potato Research Institute, Shimla 171 001, IN
4 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
1 Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur 721 302, IN
2 Biological Systems Engineering, Washington State University, Pullwan, WA-99164, US
3 ICAR-Central Potato Research Institute, Shimla 171 001, IN
4 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
Source
Current Science, Vol 115, No 6 (2018), Pagination: 1115-1123Abstract
Wastage of chemical inputs and environmental degradation have been a serious issues with conventional methods of pesticide application in agricultural and horticultural engenderment, resulting in fruit poisoning. A tractor-operated low-cost, ultrasonic sensor predicated selective pesticide sprayer was developed and tested for efficient spraying on the plant canopy and to abstain from spraying in canopy absentia. Sensing technology was interfaced with programmed Atmega328P for automatic spray control through pump, solenoid valves and nozzles. The sensing signals instigated the microcontroller system for desired spraying. The sprayer was evaluated with two different types of nozzles for optimal input resulting in best spray coverage and impact fruit infection. Water sensitive papers were used for estimation of spray characteristics. The turbo nozzle sprayer resulted in 47.41% of spray coverage, 171 drops/cm2 with 26% of pesticide savings and considerably prevented fruit infection up to 95.64%. This proved to be much better than hollow cone nozzle spraying. The technology was provisioned for boom height and nozzle angle adjustment as per canopy geometry. The ultrasonic sensor sprayer was designed for low cost and precise pesticide spraying especially for marginal farmers, thereby reducing both costs and environmental pollution by plant protection products.Keywords
Agricultural Engenderment, Efficient Spraying, Environment Pollution, Fruit Infection, Ultrasonic Sensing Technology.References
- Maddison, P. and Bartlett, B., Contribution towards the zoogeography of the Tephritidae. In Fruit Flies, Their Biology, Natural Enemies and Control (eds Robinson, A. S. and Hooper, G.), World Crop Pests. Elsevier, Amsterdam, Holland, 1989, pp. 27–35.
- Cross, J. V., Walklate, P. J., Murray, R. A. and Richardson, G. M., Spray deposits and losses in different sized apple trees from an axial fan orchard sprayer: 1. Effects of spray liquid flowrate. Crop Prot., 2001, 20, 13–30.
- Pergher, G., Calibration of air-assisted sprayers for applications in orchards. Inform. Fitopatol., 2006, 56, 8–11.
- Gil, E., Escola, A., Rosell, J. R., Planas, S. and Val, L., Variable rate application of plant protection products in vineyard using ultrasonic sensors. Crop Prot., 2007, 26, 1287–1297.
- Walklate, P. J., Cross, J. V., Richardson, G. M. and Harris, A. L., Modelling the variability of spray deposit on orchard structures. Proceedings of the 6th European Conference on Precision Agriculture. Skiathos, Greece, 2007, pp. 589–595.
- Marucco, P. and Tamagnone, M., Performance of an adjustable and multiple air flow sprayer in orchards. Asp. Appl. Biol., 2004, 71, 261–266.
- Solanelles, F., Planas, S., Escola, A. and Rosell, J. R., Spray application efficiency of an electronic control system for proportional application to the canopy volume. Asp. Appl. Biol., 2002, 66, 139–146.
- Byers, R. E., Hickey, K. D. and Hill, C. H., Base gallon age per acre. Virginia Fruit, 1971, 60, 19–23.
- Sutton, T. B. and Unrath, C. R., Evaluation of the tree-rowvolume concept with density adjustments in relation to spray deposits in apple orchards. Plant Dis., 1984, 68, 480–484.
- Sutton, T. B. and Unrath, C. R., Evaluation of the tree-rowvolume model for full-season pesticide application on apples. Plant Dis., 1984, 72, 629–632.
- Heijne, B. et al., Developments in spray application techniques in European pome fruit growing. IOBC/WPRS Bull., 1997, 20, 119– 129.
- Pergher, G., Gubiani, R. and Tonetto, G., Foliar deposition and pesticide losses from three air-assisted sprayers in a hedgerow vineyard. Crop Prot., 1997, 16, 25–33.
- Pergher, G. and Petris, R., Pesticide dose adjustment in vineyard spraying and potential for dose reduction. CIGR E-Journal, 2008, 10, Manuscript ALNARP 08 011
- Doruchowski, G. and Holownicki, R., Environmentally friendly spray techniques for tree crops. Crop Prot., 2000, 19, 617–622.
- Walklate, P. J., Cross, J. V., Richardson, G. M., Murray, R. A. and Baker, D. E., Comparison of different spray volume deposition models using LIDAR measurements of apple orchards. Biosyst. Eng., 2002, 82, 253–267.
- Wei, Z., Xiu, W., Wei, D., Shuai, S., Songlin, W. and Pengfei, F., Design and test of automatic toward-target sprayer used in orchard. IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015, doi:10.1109/CYBER.2015.7288026.
- Zaman, Q. U., Esau, T. J., Schumann, A. W., Percival, D. C., Chang, Y. K., Read, S. M. and Farooque, F. M., Development of prototype automated variable rate sprayer for real-time spotapplication of agrochemicals in wild blueberry fields. Comput. Electron. Agric., 2011, 72(2), 175–182.
- Stajnko, D. et al., Programmable ultrasonic sensing system for targeted spraying in orchards. Sensors, 2012, 12(11), 15500– 15519; doi:10.3390/s121115500.
- Sharma, S. and Borse, R., Automatic agriculture spraying robot with smart decision making. In Intelligent Systems Technologies and Applications, Advances in Intelligent Systems and Computing (Corchado Rodriguez, J. et al.), Springer, Cham, 2016, vol. 530, pp. 743–758.
- Sheng, P. J., An intelligent robot system for spraying pesticides. Open Electr. Electr. Eng. J., 2014, 8, 435–444.
- Londhe, S. B. and Sujatha, K., Remotely operated pesticide sprayer robot in agricultural field. Int. J. Comput. Appl., 2017, 167(3), 26–29.
- Junxiong, Z., Zhengyong, C., Changxing, G. and Wei, L, Research on precision target spray robot in greenhouse. Trans. Chin. Soc. Agric. Eng., 2009, 25(2), 70–73.
- Berenstein, R. and Edan, Y., Automatic adjustable spraying device for site-specific agricultural application. IEEE Trans. Autom. Sci. Eng., 2017, 99, 1–10; doi:10.1109/TASE.2017.2656143.
- Montgomery and Douglas, 2008.