Bamboo has garnered significant attention over the past two decades as a sustainable resource with a wide array of environmental benefits and emerged as a crucial resource in addressing global sustainability challenges. This systematic review synthesizes bibliometric data from the Web of Science (WOS), spanning 2004–2024, to explore the role of bamboo in global sustainability, focusing on its environmental advantages, biodiversity contributions, carbon sequestration potential, and the ecosystem services—provisioning, regulating, supporting, and cultural, it provides. Despite growing interest in bamboo’s ecological benefits, substantial research gaps exist regarding its long-term effects on biodiversity and ecosystem functioning, as well as the full extent of its role in mitigating climate impacts. This review aims to address these gaps by providing a comprehensive analysis of published research and offering new insights into bamboo’s multifaceted contributions to a number of environmental benefits and achieving sustainable development goals (SDGs). The novelty of this review lies in its integration of bibliometric analysis and qualitative synthesis, ensuring a more thorough understanding of trends, key research areas, and potential future directions. The methodology includes data extraction from WOS, followed by trend analysis, citation mapping, and thematic synthesis. Key findings reveal that bamboo plays a crucial role in carbon sequestration, biodiversity preservation, and soil conservation, while also enhancing water quality and mitigating land degradation. This indicates bamboo’s transformative potential in addressing climate change, promoting biodiversity, and supporting sustainable livelihoods. Furthermore, the study identifies critical gaps in research and policy integration, stressing the need for coordinated global efforts to fully realize bamboo’s benefits including its adaptability across different ecosystems, as well as its potential in combating global challenges such as climate change and deforestation. This review offers implications for policymakers, researchers, and practitioners seeking sustainable solutions in land management, climate action, and biodiversity conservation. The findings underscore bamboo’s unique potential as an eco-friendly, low-cost, and scalable solution for fostering global sustainability. The benefits of this study extend to promoting bamboo’s integration into conservation practices and green infrastructure projects globally.

In recent years, unmanned aerial vehicle (UAV) - based thermal imaging techniques have become increasingly popular in precision agriculture, especially in monitoring crop biotic and abiotic stresses, and soil water, irrigation scheduling, and residue mapping. However, studies are limited on thermal imaging techniques in yield estimation and in-field variability assessment. Here we evaluate the potential of UAV thermal imaging techniques to assess crop water stress and predict grain yield of 18 contrasting wheat genotypes. We conducted an airborne campaign close to crop flowering to capture thermal imagery for a rain fed wheat experimental field in southern Queensland, Australia. Plot wise canopy temperatures (°C) (T canopy ) were extracted from thermal imagery to determine crop water stress index (CWSI). Wheat grain yield was significantly correlated with CWSI (R ² = 0.63; RMSE= 0.34 t/ha). The results suggest potential for UAV thermal imaging techniques to measure crop water status and predict yield under water-limited environments.

Current agricultural production is seriously threatened by climate change and global warming, which also bring new difficulties including the spread of pests and diseases and changes in the environment that can have a big influence on crop yields. Innovative strategies are required to guarantee food security and agricultural sustainability in light of these changing circumstances. To overcome these obstacles, molecular breeding techniques have become essential, particularly with the introduction of next-generation sequencing technology. Chain termination and enzymatic techniques, which were known for their low throughput and efficiency, were the methods used for DNA sequencing in the past. A paradigm change was brought about by the advent of the polymerase chain reaction (PCR) and PCR-based sequencing, which allowed for higher throughput and more effective sequencing procedures. On the other hand, next-generation sequencing, with its unmatched capabilities, represents the latest breakthrough. With the use of this technology, characteristics that govern how the body and metabolism react to different stresses in a changing environment may be examined in greater detail. These developments in molecular breeding technologies not only improve our knowledge of plant responses to global challenges to food production, but they also offer useful tools for creating crops that are climate resilient. Scientists and farmers alike may work towards developing crops that survive the effects of global warming and contribute to a more sustainable and secure food supply by decoding the genetic composition with unprecedented accuracy. In this review, we discuss the opportunities, mechanisms, and implications of next-generation sequencing in the development of climate-resilient crops.

Drought is a natural phenomenon which differs from other natural hazards by its slow accumulating process and its indefinite commencement and termination. The present study addresses water deficiency and drought occurrence over Kutch district, Gujarat, because nearly 45% of the whole Kutch district is severely suffering by deficiency of water. Earth observation data (LANDSAT ETM+) and Standardized Precipitation Index were used to analyze drought severity. Daily rainfall data over the study area were obtained from Indian Meteorological Department (IMD) for the period of study (1990-2014) and geo-referenced for further analyses. Using Remote Sensing and GIS techniques, rainfall variability map over the period of study has been prepared to show rainfall distribution and land use and land cover map is prepared to show the area under different land use classes and impacts of drought over land uses. Standardized Precipitation Index (SPI) was generated for each block wise and scenario of drought development has been analyzed using decadal data set for the study period (1990-2014). The present study suggests method and techniques for continuous drought monitoring by linking temporal earth observation and rainfall data. The methodology will be very useful for the development of a regional drought monitoring system.

To guarantee food security and job creation of small scale farmers to commercial farmers, unproductive farms in the South 24 PGS, West Bengal need land reform program to be restructured and evaluated for agricultural productivity. This study established a potential role of remote sensing and GIS for identification and mapping of salinity zone and spatial planning of agricultural land over the Basanti and Gosaba Islands(808.314sq. km) of South 24 PGS. District of West Bengal. The primary data i.e. soil pH, Electrical Conductivity (EC) and Sodium Absorption ratio (SAR) were obtained from soil samples of various GCP (Ground Control Points) locations collected at 50 mts. intervals by handheld GPS from 0–100 cm depths. The secondary information is acquired from the remotely sensed satellite data (LANDSAT ETM⁺) in different time scale and digital elevation model. The collected field samples were tested in the laboratory and were validated with Remote Sensing based digital indices analysisover the temporal satellite data to assess the potential changes due to over salinization. Soil physical properties such as texture, structure, depth and drainage condition is stored as attributes in a geographical soil database and linked with the soil map units. The thematic maps are integrated with climatic and terrain conditions of the area to produce land capability maps for paddy. Finally, The weighted overlay analysis was performed to assign theweights according to the importance of parameters taken into account for salineareaidentification and mapping to segregate higher, moderate, lower salinity zonesover the study area.