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Optimizing Crop Manufacturing: Combining IoT, Smart Technology, and Information Mining for Sustainable

P. KaruppasamyDharmapuri SiriAbdul Subhani ShaikCMR College of Engineering & Technology,Department of ECE,Hyderabad,TelanaganaTiruvaipati Siri MadhuriSaveetha Institute of Medical and Technical Sciences, Saveetha University,Chennai,Tamil Nadu,IndiaMohammed H. FallahCollege of Technical Engineering, The Islamic University,Department of Computers Techniques Engineering,Najaf,IraqDilli GaneshSaveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATSP),Chennai,India
2025en
ABI

Аннотация

Additionally, technical advancements have been created that take use of the internet of things to increase the productivity, cost-effectiveness, and efficiency of resource usage in agricultural production systems - particularly in light of the present climate change situation. These days, the demand for food is rising due to climate change and an expanding global population. Given the significance of the aforementioned concerns, the paper's synopsis focuses on smart methodologies and contemporary IoT ways to support sustainable agricultural production. The findings also highlight the advantages of implementing smart, effective, and resource-efficient agricultural systems via the use of contemporary IoT technology and clever inventions. In addition to helping to maintain production in the face of resource constraints, modern technology supports data management in agricultural systems, climatic variation observation, soil nutrient monitoring, and water dynamics monitoring. Additionally, managing diseases, pests, and insects is aided by modern technology. To ensure the possibility of making choices in a timely manner, a wide range of sensors and computer tools may be used for cropping system management and data recording. Thus, advancements in digital tools and camera-assisted cropping systems may help farmers keep an eye on their crops. IoT will be very helpful in predicting and stimulating yield production under predicted climatic conditions when combined with current smart farming techniques. This will help with many decisions related to different crop management practices, including irrigation, fertilizer, insecticides, and weedicide applications.

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