455 papers
While agronomic factors and cooking significantly alter the content of fat-soluble micronutrients and antinutrients in chickpeas, these variations do not appear to significantly impact the bioaccessibility of the micronutrients.
This study demonstrates that inoculating soybean–maize succession systems in tropical Cerrado Oxisols with phosphate-solubilizing microorganisms (*Bacillus subtilis* and *Priestia megaterium*) synergistically enhances soil phosphorus availability, plant nutrition, and crop yield when combined with monoammonium phosphate fertilization, thereby improving overall phosphorus use efficiency.
This study comprehensively characterizes the sexual reproductive development of the dioecious oil tree *Idesia polycarpa* through microscopic and field analyses, revealing key stages of flower differentiation, gametophyte development, pollen viability, and pollination ecology to provide a theoretical foundation for its elite breeding and high-yield cultivation.
This study establishes and calibrates a double-layer bonded discrete element model that accurately captures the structural heterogeneity of alfalfa stems, demonstrating its effectiveness in simulating mechanical behaviors like shear force and repose angle to optimize harvesting and drying equipment.
This study characterizes the morphological diversity of 43 *Coffea canephora* accessions across three Nigerian agroecological zones using thirteen traits, revealing substantial phenotypic variation driven primarily by plant height and leaf length to establish a foundational framework for targeted genetic improvement.
This study evaluates the impact of varying processing conditions, specifically nutrient and sugar supplementation, on the fermentation efficiency, quality, antioxidant activity, and microbial stability of kiwi wine produced using *Saccharomyces cerevisiae*.
This paper introduces a solar-powered, autonomous sensor that fuses mechanical vibration and electrical impedance data to perform non-invasive, real-time 3D soil tomography, enabling rapid and accurate assessment of soil health without the destructive sampling or multi-day latency of traditional methods.
This study demonstrates that methanolic and ethanolic leaf extracts of *Annona squamosa* exhibit significant, concentration- and time-dependent larvicidal activity against *Anopheles annularis* and *Aedes aegypti* larvae, suggesting their potential as eco-friendly botanical alternatives to synthetic insecticides for mosquito vector control.
This paper introduces the Tomato–Chilli–Papaya (TCP) dataset, a comprehensive real-world multi-crop image collection for plant disease recognition, and validates its utility by demonstrating that deep learning models, particularly lightweight CNNs, can effectively classify diverse leaf and fruit diseases to support scalable precision agriculture.
This study demonstrates that preparing gluten protein with theabrownin via a traditional green method significantly enhances its hypoglycemic, digestive, and antioxidant activities by inducing structural changes such as increased surface roughness, reduced crystallinity, and a shift from β-sheet to random coil conformations.