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Abstract Modern agriculture requires rapid, affordable tools to monitor crops and soils directly in the field. Cellulose, the structural polymer of plants, is emerging as a versatile foundation for lightweight, biodegrad...

Today’s farming is up against the tough task of boosting crop yields while also taking care of the environment. The way pesticides and herbicides are usually applied can be a real hassle. It's often not very efficient,...

Agriculture in Iran operates under acute water scarcity, climate stress, and reliance on input-intensive practices that amplify environmental pressures. This study presents the first long-term, spatially explicit life cy...

The convergence of geopolitical instability and climate-related shocks has intensified the need for resilient food systems grounded in the regenerative principles of the Circular Economy (CE) while advancing the United N...

Microbial siderophores are low-molecular-weight compounds with a strong affinity for ferric (FSe3+) ions. They play a pivotal role in plant-microbial interactions by enhancing iron bioavailability to plants, primarily th...

Precision agriculture plays a crucial role in sustainable food production and resource-efficient land management. A key component of precision agriculture is the semantic segmentation of crops and weeds that enables auto...

In this research, we address a critical problem for strawberry growers in Lima: the management of phytosanitary diseases. Traditionally, these farmers relied on time-consuming, imprecise, and error-prone visual observati...

Abstract Sugarcane (Saccharum officinarum L.) is a vital cash crop and a cornerstone of rural economies in South Asia, yet its cultivation remains highly resource-intensive, with heavy demands for irrigation and nitrogen...

Abstract This study investigated the impact of spatial variability in soil Cation Exchange Capacity and key macronutrients on soybean (Glycine max (L.) Merril) population establishment and yield across two distinct field...

Abstract Heritage crops are recognized for their genetic diversity and naturally elevated antioxidant profiles, including polyphenols, flavonoids, and carotenoids. However, their nutritional value is highly sensitive to ...

Biotic and abiotic stresses reduce crop yields, yet existing image‑based diagnostic models are often crop‑specific, computationally intensive, and poorly interpretable. This study present: (i) a multi-crop diagnostic...

Thermoelectric generators offer a promising solution for sustainable, low-maintenance energy harvesting in smart agriculture, especially for powering off-grid sensor nodes and microgrid systems. However, their inherently...

Abstract Grapes (Vitis vinifera) are a globally important high-value crop produced for fresh consumption, wine, and processed derivatives. Growing pressure from labor shortages, climate variability, and sustainability de...

Abstract Tomato (Solanum lycopersicum L.) production is increasingly challenged by water limitations and declining soil quality, necessitating efficient alternatives to conventional cultivation. This review examines the ...

Abstract The use of animal-borne devices to measure acceleration has yielded insights into animal locomotion, behaviour and energy expenditure. We present the first systematic review of accelerometry on animals, spanning...

Global food security relies heavily on rice production, which is continuously threatened by crop diseases. Although deep learning (DL) models have demonstrated strong diagnostic performance, their high computational and ...

Peacocks have become a significant threat to agricultural fields, causing crop damage and affecting irrigation infrastructure. Traditional deterrence tools, such as scarecrows and nets, are often inefficient, labor- inte...

The manual counting of marigold (Calendula officinalis L.) flowers is a labor-intensive task that compromises the accuracy of yield estimates and optimal harvest timing, especially in large-scale fields to know the harve...

Accurate identification of plant-parasitic nematodes is fundamental to effective crop protection and the maintenance of soil ecosystem integrity. This study integrates morphological characterization with deep learning-ba...

Abstract Climate change poses significant strain on global water supplies, necessitating robust adaptive measures in irrigated agriculture to ensure food security. Adhering to PRISMA guidelines, this study provides a sys...

Soil erosion is a major environmental concern that affects land productivity and water quality. Although soil erosion is a serious global environmental challenge, understanding its potential influence in the Bardha Water...

BackgroundRecently, plant disease detection and classification have become major concerns in agriculture. Early detection of plant diseases supports farmers to take precautionary actions to prevent the spread of infectio...

In China, schistosomiasis is targeted for elimination. As the country approaches elimination, it is critical to evaluate how the dynamics of transmission are changing in remaining pockets of disease. We have been studyin...

This study develops five predictive models based on regression trees to estimate the Effective Electrical Conductivity (CEE) of irrigation water in the Green Belt of Mendoza, Argentina. Using 468 water samples and physic...