{"title":"Automated detection of sugarcane crop lines from UAV images using deep learning","authors":"","doi":"10.1016/j.inpa.2023.04.001","DOIUrl":"10.1016/j.inpa.2023.04.001","url":null,"abstract":"<div><p>UAVs (Unmanned Aerial Vehicles) have become increasingly popular in the agricultural sector, promoting and enabling the application of aerial image monitoring in both the scientific and business contexts. Images captured by UAVs are fundamental for precision farming practices. They enable us do a better crop planning, input estimates, early identification and correction of sowing failures, more efficient irrigation systems, among other tasks. Since all these activities deal with low or medium altitude images, automated identification of crop lines plays a crucial role improving these tasks. We address the problem of detecting and segmenting crop lines. We use a Convolutional Neural Network to segment the images, labeling their regions in crop lines or unplanted soil. We also evaluated three traditional semantic networks: U-Net, LinkNet, and PSPNet. We compared each network in four segmentation datasets provided by an expert. We also assessed whether the network’s output requires a post-processing step to improve the segmentation. Results demonstrate the efficiency and feasibility of these networks in the proposed task.</p></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":null,"pages":null},"PeriodicalIF":7.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214317323000501/pdfft?md5=8bf26d25efc6c7426867b082ac710793&pid=1-s2.0-S2214317323000501-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41738736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Soil moisture transfer at the boundary area of soil water retention zone: A case study","authors":"","doi":"10.1016/j.inpa.2023.03.005","DOIUrl":"10.1016/j.inpa.2023.03.005","url":null,"abstract":"<div><p>Plant growth monitoring techniques are of great interest to agricultural engineering. The interaction between root and soil water is one important plant response to environmental variations. This paper aims to develop a new method to estimate plant biological response using root-soil water interaction. It provides a case study on moisture transfer at the boundary area of a soil water retention zone (SWRZ). We produced a SWRZ around growing roots of a cultivated tomato plant in homogenous dried soil using water-saving drip irrigation. The irrigation was designed to supply moisture only in the root zone to meet the minimum need of plant growth. High-resolution soil moisture sensors were used to detect moisture transfer at the boundary area of the SWRZ. We applied frequency analysis to the acquired vibration spectrum using filtering and Fast Fourier Transform (FFT) in order to investigate the frequency content at each sensor location. Distinct frequencies of moisture vibration were identified at the boundary area of the SWRZ which indicated water transfer to the roots caused by plant water absorption. A mechanical vibration model was proposed to describe this phenomenon. The pinpoint irrigation to the root zone in the water-saving cultivation method enabled a well-structured spherical root system to form via hydrotropism. This enabled a simple method to analyze moisture transfer based on a mechanical vibration model. The results suggest a new method to estimate plant biological response by studying root-soil water interaction.</p></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":null,"pages":null},"PeriodicalIF":7.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214317323000495/pdfft?md5=9ee982b0952f86fbbf84e2b5c866da5e&pid=1-s2.0-S2214317323000495-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49217644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of <i>SvAPETALA1-5</i> gene on floral organ development in <i>Senecio vulgaris</i>.","authors":"Yu-Na Zhang, Yan-Min Hao, Min-Long Cui, Chun-Lan Piao","doi":"10.16288/j.yczz.24-147","DOIUrl":"10.16288/j.yczz.24-147","url":null,"abstract":"<p><p>Asteraceae is a large class of eudicots with complex capitulum, and little is known regarding the molecular regulation mechanism of flower development. <i>APETALA1</i>(<i>AP1</i>) belongs to the MADS-box gene family and plays a key role in plant floral induction and floral organ development. In this study, the bioinformatics and tissue-specific expression of <i>AP1</i> homologous gene <i>SvAP1-5</i> in <i>Senecio vulgaris</i> were analyzed. Based on VIGS technology, <i>SvAP1-5</i> gene silencing plants were created, and <i>SvAP1-5</i> was overexpressed in <i>Solanum nigrum</i>. The results of bioinformatics analysis showed that <i>SvAP1-5</i> gene had typical MADS-box and K-box structure, and contains FUL motif and paleoAP1 motif at the C-terminal. <i>SvAP1-5</i> belongs to the euFUL branch of <i>AP1</i> gene. qRT-PCR results showed that <i>SvAP1-5</i> was expressed in bracts, petals and carpels, and was highly expressed in carpels. Compared with the control group, <i>SvAP1-5</i> gene silencing resulted in irregular petal dehiscence, increased stigma division, and carpel dysplasia. The fruit development of <i>SvAP1-5</i> overexpressing <i>S.nigrum</i> plants was abnormal, and the hyperplastic tissue similar to fruit appeared. In summary, <i>SvAP1-5</i> gene may be involved in the development of petals and carpels and plays an important role during the development of <i>S.vulgaris</i>.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142297200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
遗传Pub Date : 2024-09-01DOI: 10.16288/j.yczz.24-146
Min Yang, Si-Yuan Lin, Chang-Qi Yang, Yao-Sheng Chen, Zu-Yong He
{"title":"Progress on <i>SOX9</i> and its enhancers in mammalian sex determination.","authors":"Min Yang, Si-Yuan Lin, Chang-Qi Yang, Yao-Sheng Chen, Zu-Yong He","doi":"10.16288/j.yczz.24-146","DOIUrl":"10.16288/j.yczz.24-146","url":null,"abstract":"<p><p>The sex determination in mammals refers to the development of an initial bipotential organ, termed the bipotential gonad/genital ridge, into either a testis or an ovary at the early stages of embryonic development, under the precise regulation of transcription factors. SOX9 (SRY-box transcription factor 9) is a multifunctional transcription factor in mammalian development and plays a critical role in sex determination and subsequent male reproductive organs development. Recent studies have shown that several enhancers upstream of <i>SOX9</i> also play an important role in the process of sex determination. In this review, we summarize the progress on the role of <i>SOX9</i> and its gonadal enhancers in sex determination. This review will facilitate to understand the regulatory mechanism of sex determination of <i>SOX9</i> and provides a theoretical basis for the further development of animal sex manipulation technologies.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142297203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pan-Hui Tian, Yue Xu, Yong-Qing Zhang, Tian-Yun Wang
{"title":"Genetic diseases are not necessarily inherited: suggestion on its Chinese translation.","authors":"Pan-Hui Tian, Yue Xu, Yong-Qing Zhang, Tian-Yun Wang","doi":"10.16288/j.yczz.24-199","DOIUrl":"https://doi.org/10.16288/j.yczz.24-199","url":null,"abstract":"<p><p>From Mendel's discovery of the basic laws of genetics in 1865 to the widespread application of genomics in medicine today, medical genetics has made enormous progress, and the concept of genetic diseases has also been evolved. In 1972, the World Health Organization (WHO) expert group began to use \"Genetic Disease\" to define hereditary diseases, while early Chinese genetics textbooks used \"inferior inheritance\", and later introduced terms such as \"Genetic Disease\" and \"Inherited Disease\". In the early days, it was generally believed that genetic diseases were inherited from ancestors. However, research in recent years has found that genetic diseases are not necessarily inherited, and some diseases are actually caused by <i>de novo</i> mutations in the offspring. Although the occurrence of this type of genetic disease is related to genetic factors, it is not inherited from ancestors. If we still use \"Inherited Disease\" or \"Hereditary Disease\" to describe it, it is not accurate enough. In order to further standardize the translation and use of the concept of \"Genetic Disease\", this article briefly reviews its development process in both English and Chinese literature, discusses the difference between different Chinese translations, and provides guidance and suggestions for scientifically and accurately describing genetic diseases in Chinese, with a view to promote efficient exchange and cooperation in the field of medical genetics.</p>","PeriodicalId":35536,"journal":{"name":"Yi chuan = Hereditas / Zhongguo yi chuan xue hui bian ji","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142297201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Constrained temperature and relative humidity predictive control: Agricultural greenhouse case of study","authors":"","doi":"10.1016/j.inpa.2023.04.003","DOIUrl":"10.1016/j.inpa.2023.04.003","url":null,"abstract":"<div><p>The importance of Model Predictive Control (MPC) has significant applications in the agricultural industry, more specifically for greenhouse’s control tasks. However, the complexity of the greenhouse and its limited prior knowledge prevent an exact mathematical description of the system. Subspace methods provide a promising solution to this issue through their capacity to identify the system’s comportment using the fit between model output and observed data. In this paper, we introduce an application of Constrained Model Predictive Control (CMPC) for a greenhouse temperature and relative humidity. For this purpose, two Multi Input Single Output (MISO) systems, using Numerical Subspace State Space System Identification (N4SID) algorithm, are firstly suggested to identify the temperature and the relative humidity comportment to heating and ventilation actions. In this sense, linear state space models were adopted in order to evaluate the robustness of the control strategy. Once the system is identified, the MPC technique is applied for the temperature and the humidity regulation. Simulation results show that the regulation of the temperature and the relative humidity under constraints was guaranteed, both parameters respect the ranges 15 °C ≤ <em>T<sub>in</sub></em><sub>t</sub> ≤ 30 °C and 50 % ≤ <em>H<sub>int</sub></em> ≤ 70 % respectively. On the other hand, the control signals <em>u<sub>f</sub></em> and <em>u<sub>h</sub></em> applied to the fan and the heater, respect the hard constraints notion, the control signals for the fan and the heater did not exceed 0 ≤ <em>u<sub>f</sub></em> ≤ 4.3 Volts and 0 ≤ <em>u<sub>h</sub></em> ≤ 5 Volts, respectively, which proves the effectiveness of the MPC and the tracking tasks. Moreover, we show that with the proposed technique, using a new optimization toolbox, the computational complexity has been significantly reduced. The greenhouse in question is devoted to Schefflera Arboricola cultivation.</p></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":null,"pages":null},"PeriodicalIF":7.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214317323000525/pdfft?md5=28017e650815dbaaf88b1c66c10a2507&pid=1-s2.0-S2214317323000525-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44233530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection of tiger puffer using improved YOLOv5 with prior knowledge fusion","authors":"","doi":"10.1016/j.inpa.2023.02.010","DOIUrl":"10.1016/j.inpa.2023.02.010","url":null,"abstract":"<div><p>Tiger puffer is a commercially important fish cultured in high-density environments, and its accurate detection is indispensable for determining growth conditions and realizing accurate feeding. However, the detection precision and recall of farmed tiger puffer are low due to target blurring and occlusion in real farming environments. The farmed tiger puffer detection model, called knowledge aggregation YOLO (KAYOLO), fuses prior knowledge with improved YOLOv5 and was proposed to solve this problem. To alleviate feature loss caused by target blurring, we drew on the human practice of using prior knowledge for reasoning when recognizing blurred targets and used prior knowledge to strengthen the tiger puffer's features and improve detection precision. To address missed detection caused by mutual occlusion in high-density farming environments, a prediction box aggregation method, aggregating prediction boxes of the same object, was proposed to reduce the influence among different objects to improve detection recall. To validate the effectiveness of the proposed methods, ablation experiments, model performance experiments, and model robustness experiments were designed. The experimental results showed that KAYOLO's detection precision and recall results reached 94.92% and 92.21%, respectively. The two indices were improved by 1.29% and 1.35%, respectively, compared to those of YOLOv5. Compared with the recent state-of-the-art underwater object detection models, such as SWIPENet, RoIMix, FERNet, and SK-YOLOv5, KAYOLO achieved 2.09%, 1.63%, 1.13% and 0.85% higher precision and 1.2%, 0.18%, 1.74% and 0.39% higher recall, respectively. Experiments were conducted on different datasets to verify the model's robustness, and the precision and recall of KAYOLO were improved by approximately 1.3% compared to those of YOLOv5. The study showed that KAYOLO effectively enhanced farmed tiger puffer detection by reducing blurring and occlusion effects. Additionally, the model had a strong generalization ability on different datasets, indicating that the model can be adapted to different environments, and it has strong robustness.</p></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":null,"pages":null},"PeriodicalIF":7.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214317323000203/pdfft?md5=30fd08109e365823c7cc20853e938648&pid=1-s2.0-S2214317323000203-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48128022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}