EDLIoT: A method for decreasing energy consumption and latency using scheduling algorithm in Internet of Things حسب Arash GhorbanniaDelavar (22563696)

Mean parameter values for the selected crops. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Block diagram for IoT-based irrigation system. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Hardware design for IoT-based irrigation system. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

IoT deployment. حسب Islam Zada (21755819)

"…By adopting it, false positives can be greatly minimized, the latency of the decision-making process can be decreased, as well as the IoT critical infrastructure resilience against the ever-changing cyber threats can be increased.…"

Performance comparison of ML models. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Comparative data of different soil samples. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Confusion matrix of random forest model. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Sensor value scenario for fuzzy logic algorithm. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Evaluation metrics of selected ML models. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Block diagram of the proposed system. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Chart for applicable amount of fertilizers. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Cost analysis of irrigation controller unit. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Run times of two algorithms. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Flow chart of Fuzzy Logic based control system. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Flow chart of Average Value-based control system. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

AI KRegression حسب CHIN-CHENG CHU (20718575)

Table 1_Applying IoT sensor-based practices to enhance water/nutrient sustainability in potato production.docx حسب Damianos Neocleous (13738513)

"…Results demonstrate that the GS approach reduced nitrogen (N) and phosphorus (P) potential losses by over 50%, significantly improved water productivity by 37%, and decreased overwatering by 84%. Despite reduced water/nutrient inputs, tuber yields under GS remained at a high range exceeding 50 t/ha, with no compromise in quality. …"

Table 2_Applying IoT sensor-based practices to enhance water/nutrient sustainability in potato production.docx حسب Damianos Neocleous (13738513)

"…Results demonstrate that the GS approach reduced nitrogen (N) and phosphorus (P) potential losses by over 50%, significantly improved water productivity by 37%, and decreased overwatering by 84%. Despite reduced water/nutrient inputs, tuber yields under GS remained at a high range exceeding 50 t/ha, with no compromise in quality. …"

A novel RNN architecture to improve the precision of ship trajectory predictions حسب Martha Dais Ferreira (18704596)

"…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …"