Computers and Electronics in Agriculture, Год журнала: 2025, Номер 236, С. 110422 - 110422
Опубликована: Апрель 23, 2025
Язык: Английский
Agronomy, Год журнала: 2025, Номер 15(1), С. 205 - 205
Опубликована: Янв. 16, 2025
Accurate crop yield prediction is crucial for formulating agricultural policies, guiding management, and optimizing resource allocation. This study proposes a method predicting yields in China’s major winter wheat-producing regions using MOD13A1 data deep learning model which incorporates an Improved Gray Wolf Optimization (IGWO) algorithm. By adjusting the key parameters of Convolutional Neural Network (CNN) with IGWO, accuracy significantly enhanced. Additionally, explores potential Green Normalized Difference Vegetation Index (GNDVI) prediction. The research utilizes collected from March to May between 2001 2010, encompassing vegetation indices, environmental variables, statistics. results indicate that IGWO-CNN outperforms traditional machine approaches standalone CNN models terms accuracy, achieving highest performance R2 0.7587, RMSE 593.6 kg/ha, MAE 486.5577 MAPE 11.39%. finds April optimal period early wheat. validates effectiveness combining remote sensing prediction, providing technical support precision agriculture contributing global food security sustainable development.
Язык: Английский
Процитировано
1
Plant Stress, Год журнала: 2024, Номер unknown, С. 100704 - 100704
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
5
ACS Omega, Год журнала: 2024, Номер 9(27), С. 29114 - 29138
Опубликована: Июнь 26, 2024
The controlled environment ecosystem is a meticulously designed plant growing chamber utilized for cultivating biofortified crops and microgreens, addressing hidden hunger malnutrition prevalent in the population. integration of speed breeding within such environments effectively eradicates morphological disruptions encountered traditional methods as inbreeding depression, male sterility, self-incompatibility, embryo abortion, other unsuccessful attempts. In contrast to unpredictable climate conditions that often prolong cycles 10-15 years 4-5 transgenic open ecosystems, techniques expedite achievement objectives F1-F6 generations 2-3 under conditions. comparison, may take 5-10 population line creation, 3-5 field trials, 1-2 variety release. effectiveness trait improvement development varies across different crops, requiring approximately 4 rice groundnut, 5 soybean, pea, oat, 6 sorghum,
Язык: Английский
Процитировано
3
Plant Physiology Reports, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 6, 2024
Язык: Английский
Процитировано
3
Horticulture Research, Год журнала: 2025, Номер 12(4)
Опубликована: Янв. 2, 2025
Abstract Cold stress profoundly affects the growth, development, and productivity of horticultural crops. Among diverse strategies plants employ to mitigate adverse effects cold stress, flavonoids have emerged as pivotal components in enhancing plant resilience. This review was written systematically highlight critical role tolerance, aiming address increasing need for sustainable practices under climate stress. We provide a comprehensive overview tolerance crops, emphasizing their biosynthesis pathways, molecular mechanisms, regulatory aspects conditions. discuss how act antioxidants, scavenging reactive oxygen species (ROS) generated during they regulate gene expression by modulating stress-responsive genes pathways. Additionally, we explore application through genetic engineering breeding strategies, offering insights into practical interventions improving crop Despite significant advances, research gap remains understanding precise mechanisms which specific confer resistance, especially across different species. By addressing current knowledge gaps, proposing future directions highlighting implications horticulture, aim advance enhance
Язык: Английский
Процитировано
0
Plants, Год журнала: 2025, Номер 14(4), С. 533 - 533
Опубликована: Фев. 10, 2025
Tomato (Solanum lycopersicum L.) is an economically important crop worldwide, particularly in tropical and subtropical regions. However, production significantly increasingly affected by the impacts of climate change, including heat drought stress emerging pests diseases. This study specifically evaluated effects on root shoot morphology, photosynthesis, yield traits five tomato genotypes, to identify characteristics that differentiate tolerance from susceptibility. Heat experiments were conducted a polyhouse, one during summer under high temperatures, with non-stress trial winter conducive natural conditions. Significant reductions yield, photosynthesis observed across all genotypes stress. genotype MG785-1 maintained relatively higher (298.01 ± 25.1 g), 37.7% reduction compared conditions, while CLN4786F1 showed resilience 32.3% decrease its harvest index. Root dry weight (5.91 0.53 g MG785-1) ratio (0.19 0.01 identified as key for tolerance. Physiological traits, such photosynthetic rate (11.71 1.61 µmol CO2 m−2 s−1 MG785-1), critical maintaining growth In contrast, heat-sensitive CLN3961D exhibited significant decline physiological performance. indicators tolerance, was plant These findings underscore importance integrated providing valuable insights breeding climate-resilient varieties.
Язык: Английский
Процитировано
0
Smart Agricultural Technology, Год журнала: 2025, Номер 10, С. 100851 - 100851
Опубликована: Фев. 21, 2025
Язык: Английский
Процитировано
0
In Vitro Cellular & Developmental Biology - Plant, Год журнала: 2025, Номер unknown
Опубликована: Фев. 25, 2025
Язык: Английский
Процитировано
0
Gene Reports, Год журнала: 2025, Номер unknown, С. 102190 - 102190
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0
Plants, Год журнала: 2025, Номер 14(6), С. 907 - 907
Опубликована: Март 14, 2025
Climate change intensifies biotic and abiotic stresses, threatening global crop productivity. High-throughput phenotyping (HTP) technologies provide a non-destructive approach to monitor plant responses environmental offering new opportunities for both stress resilience breeding research. Innovations, such as hyperspectral imaging, unmanned aerial vehicles, machine learning, enhance our ability assess traits under various including drought, salinity, extreme temperatures, pest disease infestations. These tools facilitate the identification of stress-tolerant genotypes within large segregating populations, improving selection efficiency programs. HTP can also play vital role by accelerating genetic gain through precise trait evaluation hybridization enhancement. However, challenges data standardization, management, high costs equipment, complexity linking phenotypic observations improvements limit its broader application. Additionally, variability genotype-by-environment interactions complicate reliable selection. Despite these challenges, advancements in robotics, artificial intelligence, automation are precision scalability analyses. This review critically examines dual assessment tolerance performance, highlighting transformative potential existing limitations. By addressing key leveraging technological advancements, significantly research, discovery, parental selection, scheme optimization. While current methodologies still face constraints fully translating insights into practical applications, continuous innovation high-throughput holds promise revolutionizing ensuring sustainable agricultural production changing climate.
Язык: Английский
Процитировано
0