کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8875395 | 1623651 | 2017 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improving automatic climate control with decision support techniques to minimize disease effects in greenhouse tomatoes
ترجمه فارسی عنوان
بهبود کنترل آب و هوای اتوماتیک با تکنیک های پشتیبانی تصمیم برای کاهش اثرات بیماری در گوجه فرنگی های گلخانه ای
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کلمات کلیدی
رشد گلخانه ای، سیستم های پشتیبانی تصمیم، کنترل آب و هوا، مدیریت بیماری،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی
Crop growth in greenhouses is basically determined by the climate variables in the environment and by the amounts of water and fertilizers supplied by irrigation. The management of these factors depends on the expertise of agricultural technicians and farmers, usually assisted by control systems installed within the greenhouse. In this context, decision support features enable us to incorporate invaluable human experience so that we can take quick and effective decisions to ensure efficient crop growth. This work describes a real-time decision support system for greenhouse tomatoes that supports decisions at three stages - the supervision stage identifies climate sensor faults, the control stage maintains climate variables at setpoints, and the strategic stage identifies diseases affecting the crop and changes climate variables accordingly to minimize damage. The DSS was implemented by integrating a real-time rule-based tool into the control system. Experimental results show that the system increases climate control effectiveness, while providing support in preventing diseases which are difficult to eradicate. The system was tested by simulating the appearance of the disease and observing the real system response. The main contribution has been to demonstrate that production rules, which are mature and well-known in the artificial intelligence domain, can act as a shared technology for the whole system. This means that fault detection, temperature control and disease monitoring features are not dealt with in isolation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Processing in Agriculture - Volume 4, Issue 1, March 2017, Pages 50-63
Journal: Information Processing in Agriculture - Volume 4, Issue 1, March 2017, Pages 50-63
نویسندگان
JoaquÃn Cañadas, Jorge Antonio Sánchez-Molina, Francisco RodrÃguez, Isabel MarÃa del Águila,