Cite this DOI

DR. GANGA DINESH KUMAR, D. G. D. K. (2023). MODEL PREDICTIVE CONTROL OF SMART GREENHOUSES AS THE PATH TOWARDS NEAR ZERO ENERGY CONSUMPTION. *Journal of Science & Technology*, *8*(7), 110–113. https://doi.org/10.46243/jst.2023.v8.i06.pp110-113

@article{drgangadineshkumar2023model,
  author    = {DR. GANGA DINESH KUMAR, DR. GANGA DINESH KUMAR},
  title     = {{MODEL PREDICTIVE CONTROL OF SMART GREENHOUSES AS THE PATH TOWARDS NEAR ZERO ENERGY CONSUMPTION}},
  journal   = {Journal of Science \& Technology},
  year      = {2023},
  month     = {aug},
  volume    = {8},
  number    = {7},
  pages     = {110--113},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2023.v8.i06.pp110-113},
  url       = {https://doi.org/10.46243/jst.2023.v8.i06.pp110-113},
  language  = {en},
  abstract  = {As we know the fact that, India is the second largest population country in the world and majority of people in India have agriculture as their occupation. Farmers are growing same crops repeatedly without trying new verity of crops and they are applying fertilizers in random quantity without knowing the deficient content and quantity. So, this is directly affecting on crop yield and also causes the soil acidification and damages the top layer. So, we have designed the system using machine learning algorithms for betterment of farmers. Our system will suggest the best suitable crop for particular land based on content and weather parameters. And also, the system provides information about the required content and quantity of fertilizers, required seeds for cultivation. Hence by utilizing our system farmers can cultivate a new variety of crop, may increase in profit margin and can avoid soil pollution.}
}

TY  - JOUR
TI  - MODEL PREDICTIVE CONTROL OF SMART GREENHOUSES AS THE PATH TOWARDS NEAR ZERO ENERGY CONSUMPTION
AU  - DR. GANGA DINESH KUMAR, DR. GANGA DINESH KUMAR
JO  - Journal of Science & Technology
PY  - 2023
DA  - 2023/08/07/
VL  - 8
IS  - 7
SP  - 110
EP  - 113
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - As we know the fact that, India is the second largest population country in the world and majority of people in India have agriculture as their occupation. Farmers are growing same crops repeatedly without trying new verity of crops and they are applying fertilizers in random quantity without knowing the deficient content and quantity. So, this is directly affecting on crop yield and also causes the soil acidification and damages the top layer. So, we have designed the system using machine learning algorithms for betterment of farmers. Our system will suggest the best suitable crop for particular land based on content and weather parameters. And also, the system provides information about the required content and quantity of fertilizers, required seeds for cultivation. Hence by utilizing our system farmers can cultivate a new variety of crop, may increase in profit margin and can avoid soil pollution.
DO  - 10.46243/jst.2023.v8.i06.pp110-113
UR  - https://doi.org/10.46243/jst.2023.v8.i06.pp110-113
ER  -

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    "DOI": "10.46243/jst.2023.v8.i06.pp110-113",
    "URL": "https://doi.org/10.46243/jst.2023.v8.i06.pp110-113",
    "title": "MODEL PREDICTIVE CONTROL OF SMART GREENHOUSES AS THE PATH TOWARDS NEAR ZERO ENERGY CONSUMPTION",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "As we know the fact that, India is the second largest population country in the world and majority of people in India have agriculture as their occupation. Farmers are growing same crops repeatedly without trying new verity of crops and they are applying fertilizers in random quantity without knowing the deficient content and quantity. So, this is directly affecting on crop yield and also causes the soil acidification and damages the top layer. So, we have designed the system using machine learning algorithms for betterment of farmers. Our system will suggest the best suitable crop for particular land based on content and weather parameters. And also, the system provides information about the required content and quantity of fertilizers, required seeds for cultivation. Hence by utilizing our system farmers can cultivate a new variety of crop, may increase in profit margin and can avoid soil pollution.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2023.v8.i06.pp110-113 gives all four in one JSON answer.