Paddy Yield Monitoring System DOI

Muhamad Luqman Haqim Azman,

Izanoordina Ahmad,

Adi Muzani Suhairi

и другие.

Опубликована: Окт. 17, 2023

Rice plays a vital role in the economies and cultures of many Asian countries, yet inconsistency paddy production poses challenges for small-scale farmers. To address these challenges, this study aimed to developed an Internet Things (IoT) based system monitoring yields. The methodology involved integrating sensors collect parameters such as pH, temperature, moisture, soil nutrient levels, transmitting data using LoRa technology, storing it cloud database. Linear Regression was then applied generate predictions. results demonstrated successful collection visualization through IoT system, providing valuable insights into optimal growth paddy. Overall, project offering promising solution enhancing cultivation practices decision-making processes technology.

Язык: Английский

The Mangrove Swamp Rice Production System of Guinea Bissau: Identification of the Main Constraints Associated with Soil Salinity and Rainfall Variability DOI Creative Commons
Gabriel Garbanzo León, Maria do Rosário Cameira, Paula Paredes

и другие.

Agronomy, Год журнала: 2024, Номер 14(3), С. 468 - 468

Опубликована: Фев. 27, 2024

Mangrove swamp rice production (MSRP) refers to cultivation in former mangrove soils that have been anthropogenically modified for food production. The method utilizes the largest possible storage of fresh water desalinate and make them productive. However, temporal variability rainfall patterns causes loss efficiency production, impacting crop growth reducing productivity. To improve MSRP, it is necessary identify primary constraints associated with salinity, enhancing maximizing freshwater This study provides a general description MSRP system both northern southern regions Guinea-Bissau, aiming at identification main management limitations. involves use typologies zones specific characteristics within paddies. Furthermore, this review includes an analysis physicochemical relation salinity issues, descriptions agronomic management, varieties, significance managing dikes bunds management. shows how MSRPS characterized by dynamism complexity, involving wide range features, cultural influences, microclimatic conditions are subject variations.

Язык: Английский

Процитировано

8

Melatonin: A potential abiotic stress regulator DOI Creative Commons
Hansika Sati, Ajay V. Chinchkar, Priyanka Kataria

и другие.

Plant Stress, Год журнала: 2023, Номер 10, С. 100293 - 100293

Опубликована: Ноя. 15, 2023

Abiotic stress adversely affects the metabolism and growth of plants, hampering their yield productivity. Melatonin is a ubiquitous, multifunctional, regulatory, non-toxic potential bio stimulator possessing pleiotropic effects in plant kingdom. It master regulator which plays critical role under abiotic conditions. Studies indicate increases endogenous levels melatonin plants. On other hand, exogenous has also been reported to mitigate plants by modulating proteins gene expressions. Melatonin-mediated reactive oxygen species scavenging defense system activation are primary mechanisms employed make alleviating stress. This review summarizes recent research concerning phytomelatonin biosynthesis, its detection techniques, We have focused on regulatory drought, heat, cold, heavy metal, acid rain, toxic chemical, light, herbicide Additionally, crosstalk with phytohormones considered.

Язык: Английский

Процитировано

14

Physiological, Agronomic, and Grain Quality Responses of Diverse Rice Genotypes to Various Irrigation Regimes under Aerobic Cultivation Conditions DOI Creative Commons

Ahmed M. A. Mousa,

Ahmed M. A.-G. Ali,

Abdelrahman E. A. Omar

и другие.

Life, Год журнала: 2024, Номер 14(3), С. 370 - 370

Опубликована: Март 12, 2024

Aerobic rice cultivation represents an innovative approach to reduce water consumption and enhance use efficiency compared traditional transplanting methods. Simultaneously, cultivating drought-tolerant genotypes becomes crucial ensure their sustainable production under abrupt climate fluctuations. Hence, this study aimed explore the physiological, agronomic, grain quality responses of ten diverse various irrigation levels aerobic conditions. A field experiment was performed for two summer seasons 2019 2020 in arid Mediterranean climate. The regimes were well watered (13,998 m3/ha), mild drought (10,446 moderate (7125 severe (5657 m3/ha). results revealed considerable variations among tested all traits. According response indices, classified into three groups (A–C), varying from tolerant sensitive genotypes. identified (Giza-179, Hybrid-1, Giza-178, Line-9399) recorded higher yields crop productivity with reduced usage drought-sensitive Thus, these are highly recommended water-scarce environments. Furthermore, characteristics could be valuable breeding programs improve tolerance rice, particularly PCA biplot, heatmap, hierarchical clustering highlighted specific physiological parameters such as relative content, chlorophyll proline peroxidase catalase content exhibited robust associations yield traits deficit These offer insights serve rapid indicators assessing

Язык: Английский

Процитировано

4

Evapotranspiration and crop coefficients of sprinkler-irrigated aerobic rice in southern Brazil using the SIMDualKc water balance model DOI
Mirta Teresinha Petry, Felipe Tonetto, Juliano Dalcin Martins

и другие.

Irrigation Science, Год журнала: 2024, Номер unknown

Опубликована: Март 29, 2024

Язык: Английский

Процитировано

4

Enhancing food security while reducing environmental impacts: Life cycle assessment of cultivation-irrigation systems and yield gap closure in paddy fields DOI Creative Commons
Abdullah Darzi‐Naftchali, Markus Berger,

Fereshteh Batoukhteh

и другие.

Heliyon, Год журнала: 2025, Номер 11(2), С. e42028 - e42028

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Translational Research Progress and Challenges for Developing Drought Resilient Rice DOI Creative Commons
Dinesh Kumar Saini, Kirti Bardhan, Impa M. Somayanda

и другие.

Plant Stress, Год журнала: 2025, Номер unknown, С. 100751 - 100751

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Sustainable Weed Management in Rice to Ensure Food Security: A Review DOI

Mst. Motmainna,

Abdul Shukor Juraimi, Nik Norasma Che’Ya

и другие.

ACS Agricultural Science & Technology, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Globally, food security has become a severe issue with the increase in world population. Infestations of weeds are well acknowledged as significant biological constraint to crop yield across agroecosystems and seasons. However, high labor costs have led decline use conventional manual weeding methods, this trend been mirrored worldwide by an synthetic herbicides. Continuous herbicides increases possibility herbicide resistance, contaminated agricultural goods, adverse impacts on environment human health. Because these issues, researchers now interested finding alternatives There is no single effective solution for combating weeds; therefore, review focuses developing implementing more sustainable weed management that involves cultural, mechanical, control, efficient chemical artificial intelligence. The synthesizes findings from wide range peer-reviewed studies, case reports, extension documents. By examining current state offers valuable insights both organic growers seeking manage populations while minimizing environmental impact. Ultimately, it aims contribute global promoting resilient practices.

Язык: Английский

Процитировано

0

Genome Editing for Trait-Specific Improvement in Rice DOI

Ambothi Rathnasamy Sakthi,

Shobica Priya Ramasamy,

Shubham Rajaram Salunkhe

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Paddy Yield Monitoring System DOI

Muhamad Luqman Haqim Azman,

Izanoordina Ahmad,

Adi Muzani Suhairi

и другие.

Опубликована: Окт. 17, 2023

Rice plays a vital role in the economies and cultures of many Asian countries, yet inconsistency paddy production poses challenges for small-scale farmers. To address these challenges, this study aimed to developed an Internet Things (IoT) based system monitoring yields. The methodology involved integrating sensors collect parameters such as pH, temperature, moisture, soil nutrient levels, transmitting data using LoRa technology, storing it cloud database. Linear Regression was then applied generate predictions. results demonstrated successful collection visualization through IoT system, providing valuable insights into optimal growth paddy. Overall, project offering promising solution enhancing cultivation practices decision-making processes technology.

Язык: Английский

Процитировано

0