Starting from a mixture of Gamma densities, the Rice density is set into an estimator-correlator structure which induces a family of suboptimal detectors ...
PO + P, and (d/dt) P, are plotted as a function of t with 13 and d suhoptimal detectors exhibiting better performance than the square-law as parameters.
In this paper, the extraction solvent, salt, and adsorbent were optimized for detection of Glyamifop residues in rice and its environment. The effectiveness of ...
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Dec 2, 2024 · Timely and accurate detection of rice pests is highly important for pest control, as well as for improving rice yield and quality.
Aug 11, 2022 · In this paper, we proposed a rice panicle detection and counting method based on deep learning which was especially designed for detecting rice panicles in ...
Sep 28, 2024 · We proposed a method called Pyramid-YOLOv8 for rapid and accurate rice leaf blast disease detection in this study.
Rice-ResNet utilizes deep ResNet models to accurately classify rice varieties, crucial for global agriculture.
Intelligent pest detection algorithms are capable of effectively detecting and recognizing agricultural pests, providing important recommendations for field ...
This study aims to address the issue of rice pest detection through deep learning techniques to enhance agricultural productivity and sustainability.
Apr 21, 2024 · For the detection of pesticide residues in rice, we first placed an equal number of rice samples (1 kg) in the artificial climate chamber ...