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 - 26 December 2023

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… 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 - 28 December 2023

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

… 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 - 08 June 2023

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.… 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… 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 - 09 March 2023

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.… 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 - 06 January 2023

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… 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 - 29 August 2022

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… More >

WEI ZHOU, MENGMENG ZHANG, KEZHANG TAO, XIANCAN ZHU^*

BIOCELL, Vol.46, No.12, pp. 2575-2582, 2022, DOI:10.32604/biocell.2022.021910 - 10 August 2022

Abstract Land salinization is a major form of land degradation, which is not conducive to the growth and quality of fruits and vegetables. Plant salt tolerance can be enhanced by arbuscular mycorrhizal fungi (AMF) or plant growth-promoting rhizobacteria (PGPR). This study examined the effects of inoculation with PGPR singly or in combination with AMF, on the growth and quality of tomato fruits under low saline conditions. Tomatoes were cultivated in a greenhouse with sterilized soil, inoculated with PGPR, AMF, or co-inoculated with PGPR and AMF, and NaCl solution (1%) was added to the soil. The results… More >

Xun Li¹, Wenzhe Ma^1,*, Zhengfan Zhao², Muhammad Bashir¹, Wenjie Wang¹, Xiaohua Wang¹

CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 67-92, 2022, DOI:10.32604/cmes.2022.020019 - 18 July 2022

Abstract In a multi-lane area, the increasing randomness of lane changes contributes to traffic insecurity and local traffic flow instability. A study on safe lane shifting activity that focuses on threat assessment under real-time knowledge is necessary to enhance smooth vehicle flow. This paper proposed a more comprehensive lane changing guidance rule to investigate the status of surrounding vehicles to accommodate future vehicle-on-road collaborative environments based on these parameters 1) lane change demand and 2) treat assessment function. The collaborative relationships between vehicles are analyzed using a cellular automata model based on their location, velocity, and… More >

Yanjiao Zheng¹, Zaiqiang Yang^1,2,*, Tingting Wei¹, Heli Zhao¹

Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 2033-2054, 2022, DOI:10.32604/phyton.2022.019468 - 13 May 2022

Abstract The combined stress of high temperature and high relative air humidity is one of the most serious agrometeorological disasters that restricts the production capacity of protected agriculture. However, there is little information about the precise interaction between them on tomato fruit quality. The objectives of this study were to explore the effects of the combined stress of high temperature and relative humidity on the sugar and acid metabolism and fruit quality of tomato fruits, and to determine the best relative air humidity for fruit quality under high temperature environments. Four temperature treatments (32°C, 35°C, 38°C,… More >