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Automatic Disease Detection for Various Plants Leaf Using Image Processing Techniques and TensorFlow Algorithm

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Innovations in Electrical and Electronic Engineering (ICEEE 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1115))

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Abstract

In India, agronomy industry needs automation for monitoring the overall farm and plant health as due to the presence of plants’ diseases and ecological inadequacy which causes significant damage and dissipation to agriculturists. Therefore, various geographical conditions are required for plants and crops growth as it needs a humid climate with rainfall of 200 and temperature above 25 °C. Thus, various conditions required for farming are moderate temperature, rainfall, and lots of sunshine. As it requires lots of drainage for the fertile soil. Although India is the second largest manufacturer of various types of dry fruits, feedstock, and no vegetables, also they uses various methods of cultivation for the farming process like manuring, irrigation, weeding, cultivation, and sowing for better quality crops that grow in the primary step of sowing. The investment of pesticides in the Indian industry sector in 2022–23 is nearly 140 crore which is done by SP Gupta Chief Financial Officer of Indian Pesticides Limited. Various types of pesticides have been used for the betterment of farm like insecticides, bactericides, and fungicides for killing insects and various pests but the overuse of pesticides harm the fertility of soil and land for good quality crops and growth; thus due to these, farms get damaged and lands get infertile, because of these, farmers cannot do farming on that land to overcome this issue; this paper shows the solution for the farmers and land by using a prototype robot by using IoT which holds a record of plants as well as monitor the farm in any weather if any insect gets detected by the caretaker; the advanced robotic mechanism starts activating and sprays pesticides on the affected portion of plants. Due to this, land can be saved by unwanted spraying of pesticides and infertility of soil.

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Author information

Authors and Affiliations

  1. Research Scholar PG-VLSI GH Raisoni College of Engineering, Nagpur, India

    Devyani Shende

  2. Department of Electronics Engineering Head of Department, GH Raisoni College of Engineering, Nagpur, India

    Laxman Thakare

  3. Department of DIC, Incharge CoE Embedded IoT, GH Raisoni College of Engneering, Nagpur, India

    Rahul Agrawal & Nikhil Wyawahare

  4. Department of DIC, Incharge CoE Embedded Io, GH Raisoni College of Engineering, Nagpur, India

    Nikhil Wyawahare

Authors
  1. Devyani Shende
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  2. Laxman Thakare
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  3. Rahul Agrawal
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  4. Nikhil Wyawahare
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Corresponding author

Correspondence to Devyani Shende .

Editor information

Editors and Affiliations

  1. University Center for Research and Development (UCRD), Chandigarh University, Mohali, Punjab, India

    Rabindra Nath Shaw

  2. Department of Management and Innovation Systems, University of Salerno, Fisciano, Italy

    Pierluigi Siano

  3. Department of Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia

    Saad Makhilef

  4. University Center for Research and Development (UCRD), Chandigarh University, Mohali, Punjab, India

    Ankush Ghosh

  5. Department of Electrical Engineering, Punjab Engineering College (Deemed to be University), Chandigarh, Punjab, India

    S. L. Shimi

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Shende, D., Thakare, L., Agrawal, R., Wyawahare, N. (2024). Automatic Disease Detection for Various Plants Leaf Using Image Processing Techniques and TensorFlow Algorithm. In: Shaw, R.N., Siano, P., Makhilef, S., Ghosh, A., Shimi, S.L. (eds) Innovations in Electrical and Electronic Engineering. ICEEE 2023. Lecture Notes in Electrical Engineering, vol 1115. Springer, Singapore. https://doi.org/10.1007/978-981-99-8661-3_36

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  • DOI: https://doi.org/10.1007/978-981-99-8661-3_36

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