Ankita Gangwar¹, Vijaypal Singh Dhaka¹, Geeta Rani^2,*, Shrey Khandelwal¹, Ester Zumpano^3,4, Eugenio Vocaturo^3,4

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 117-142, 2024, DOI:10.32604/cmc.2024.048119

Abstract A consumption of 46.9 million tons of processed tomatoes was reported in 2022 which is merely 20% of the total consumption. An increase of 3.3% in consumption is predicted from 2024 to 2032. Tomatoes are also rich in iron, potassium, antioxidant lycopene, vitamins A, C and K which are important for preventing cancer, and maintaining blood pressure and glucose levels. Thus, tomatoes are globally important due to their widespread usage and nutritional value. To face the high demand for tomatoes, it is mandatory to investigate the causes of crop loss and minimize them. Diseases are one of the major causes… More >

Naeem Ullah¹, Javed Ali Khan^2,*, Sultan Almakdi³, Mohammed S. Alshehri³, Mimonah Al Qathrady⁴, Eman Abdullah Aldakheel^5,*, Doaa Sami Khafaga⁵

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3969-3992, 2023, DOI:10.32604/cmc.2023.041819

Abstract Tomato leaf diseases significantly impact crop production, necessitating early detection for sustainable farming. Deep Learning (DL) has recently shown excellent results in identifying and classifying tomato leaf diseases. However, current DL methods often require substantial computational resources, hindering their application on resource-constrained devices. We propose the Deep Tomato Detection Network (DTomatoDNet), a lightweight DL-based framework comprising 19 learnable layers for efficient tomato leaf disease classification to overcome this. The Convn kernels used in the proposed (DTomatoDNet) framework is 1 × 1, which reduces the number of parameters and helps in more detailed and descriptive feature extraction for classification. The proposed DTomatoDNet model… More >

Hang Guo^1,2,3, Linxian Liao^1,2,3, Zhenhao Zheng⁴, Junzeng Xu^1,2,3,*, Qi Wei^1,2,3, Peng Chen^1,2,3, Kechun Wang^1,2,3

Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3291-3304, 2023, DOI:10.32604/phyton.2023.044051

Abstract

The utilization of aquaculture wastewater as irrigation is an effective way to recycle and reuse water and nitrogen fertilizer resources because it contains numerous nutrients. However, it is still unclear that the pattern of substituting aquaculture wastewater irrigation for fertilizer supplementing is conducive to improving the soil nitrogen status, fruit yield and water-fertilizer use efficiency for tomato production. In this context, the experiment was intended to establish the appropriate irrigation regime of aquaculture wastewater in tomato production for freshwater replacement and fertilizer reduction to ensure good yields. Pot experiments were conducted with treatments as farmers accustomed to irrigation and fertilization… More >

Xiaolei Deng^a,b,c,*,† , Jin Wang^d , Jinyu Zhou^a, Hongcheng Shen^a, Zefeng Sheng^a, Jianglin Zhang^a, Xiaowen L^a, Changxiong Xie^a

Frontiers in Heat and Mass Transfer, Vol.12, pp. 1-6, 2019, DOI:10.5098/hmt.12.13

Abstract A hybrid cellular automaton model combined with finite element method for structural topology optimization with mechanical and heat constraints is developed. The effect of thermal stress on structural optimization is taken into account. Higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The validating studies of standard testing structure for topological optimization are carried out. The structure evolution, stress evolution and thermal evolution of topology optimization with mechanical and heat constraints are investigated. The results show the developed hybrid method is more efficient for structural topology optimization. Meanwhile, the topology… More >

Xiaolei Deng^a,b,c,*, Jin Wang^d , Hongcheng Shen^a, Jinyu Zhou^a, Jianchen Wang^a,c, Changxiong Xie^a, Jianzhong Fu^b

Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-6, 2019, DOI:10.5098/hmt.13.13

Abstract A hybrid cellular automaton model combined with a finite element method for thermal topology optimization of spindle structure is developed. The higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The local sensitivity filtering algorithm and the weight approach are applied. The four validating studies of two-dimensional structure for thermal topology optimization are carried out. The structure evolution and thermal distribution evolution of thermal topology optimization are investigated. The results show the developed hybrid method is more efficient for thermal topology optimization. Meanwhile, the thermal topology optimization for spindle structure… More >

Huaxin Zhou^1,2, Ziying Fang³, Yilin Wang⁴, Mengjun Tong^1,2,*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 175-194, 2023, DOI:10.32604/cmc.2023.037342

Abstract Plant diseases have become a challenging threat in the agricultural field. Various learning approaches for plant disease detection and classification have been adopted to detect and diagnose these diseases early. However, deep learning entails extensive data for training, and it may be challenging to collect plant datasets. Even though plant datasets can be collected, they may be uneven in quantity. As a result, the problem of classification model overfitting arises. This study targets this issue and proposes an auxiliary classifier GAN (small-ACGAN) model based on a small number of datasets to extend the available data. First, after comparing various attention… More >

M. Karoui, R. Kamoun, H. Nefzi, N. Marrakchi, H. Raies, A. Mezlini, K. Meddeb, F. Ellouze

Psycho-Oncologie, Vol.17, No.1, pp. 31-37, 2023, DOI:10.3166/pson-2022-0211

Abstract Objectifs: L’étude avait pour objectif d’estimer la prévalence de la dépression et de l’anxiété dans une population de femmes tunisiennes suivies pour un cancer du sein et de relever les données sociodémographiques, cliniques et de vie de couple qui leur sont associées.
Matériels et méthodes: Une étude transversale auprès de 100 patientes suivies pour un cancer du sein a été réalisée. Un questionnaire portant sur les caractéristiques sociodémographiques, cliniques, thérapeutiques, sur la vie conjugale et sur la sexualité du couple a été administré. L’échelle HADS (Hospital Anxiety and Depression Scale) a été utilisée pour le dépistage des symptômes anxieux et… More >

Jameel M. Al-Khayri^1,*, Salha M. Alshamrani², Adel A. Rezk¹, Wael F. Shehata¹, Mustafa I. Almaghasla³, Tarek A. Shalaby^3,4, Ahmed M. Saad⁵, Fatmah A. Safhi⁶, Muhammad N. Sattar⁷, Arafat A. Abdel Latef⁸, Mahmoud Z. Sitohy⁵, Abdallah A. Hassanin^9,*

Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1493-1512, 2023, DOI:10.32604/phyton.2023.027375

Abstract Appropriate knowledge of the parental cultivars is a pre-requisite for a successful breeding program. This study characterized fruit yield, quality attributes, and molecular variations of ten tomato cultivars during three consecutive generations under greenhouse conditions. Peto 86, Castle Rock, and Red Star cultivars showed the highest fruit yield (kg/plant), total phenolic compounds (TPC), and sap acidity. Principal component analysis categorized the evaluated fruit yield into three groups based on their quality attributes. A robust positive correlation appeared among traits inside each group. A positive correlation was likewise noticed between the first and the second groups. However, a negative correlation was… More >

Zhengguang Liu¹, Jun Yang¹, Tobi Fadiji², Zhiguo Li^1,*, Jiheng Ni³

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1071-1090, 2023, DOI:10.32604/phyton.2023.026408

Abstract Wind disturbance as a green method can effectively prevent the overgrowth of tomato seedlings, and its mechanism may be related to root system mechanics. This study characterized the biophysical mechanical properties of taproot and lateral roots of tomato seedlings at five seedling ages and seedling substrates with three different moisture content. The corresponding root system-substrate finite element (FE) model was then developed and validated. The study showed that seedling age significantly affected the biomechanical properties of the taproot and lateral roots of the seedlings and that moisture content significantly affected the biomechanical properties of the seedling substrate (p < 0.05).… More >

Rabia Manzoor^1,*, Mohammad Saleem Akhtar¹, Khalid Saifullah Khan¹, Taqi Raza², Muhammad Ishaq Asif Rehmani³, Carl Rosen⁴, Muhammad Khalil ur Rehman⁵, Nahla Zidan⁶, Fahad M. Alzuaibr⁷, Nisreen M. Abdulsalam⁸, Najla A. Khateeb⁹, Majid Alhomrani^10,11, Abdulhakeem S. Alamri^10,11, Javeed Ahmad Lone¹², Muhammad Ammar Raza¹³, Ayman El Sabag

Phyton-International Journal of Experimental Botany, Vol.91, No.12, pp. 2759-2774, 2022, DOI:10.32604/phyton.2022.022988

Abstract Tomato is an important field crop, and nutritional imbalances frequently reduce its yield. Diagnosis and Recommendation Integrated System (DRIS), uses ratios for nutrient deficiency diagnosis instead of absolute concentration in plant tests. In this study, local DRIS norms for the field tomatoes were established and the nutrient(s) limiting tomatoes yield were determined. Tomato leaves were analyzed for nutrients, to identify nutritional status using the DRIS approach. One hundred tomatoes fields were selected from Chatter Plain Khyber Pakhtunkhwa and the Sheikupura Punjab Pakistan. The first fully matured leaf was sampled, rinsed, dried and ground for analyzing P, K, Ca, Mg, Cu,… More >