📄 Category

agriculture

1931 papers

📄 agriculture

Label-free visualization and quantification of fungal-induced calcium carbonate precipitation for self-healing concrete applications

This study introduces a label-free autofluorescence-based imaging strategy to visualize and quantify fungal-induced calcium carbonate precipitation in real time, revealing that periodic substrate delivery promotes the formation of numerous smaller crystals through synchronized nucleation bursts, thereby providing a mechanistic basis for optimizing self-healing concrete.

Martí Pla-Ferriol, Sophie J.L. van Velzen, Calley Eads, Edith C. Hammer, Dimitrios Floudas, Hanbang Zou2026-09-10
📄 agriculture

Genotyping, distribution and structure of Benin’s rice germplasm using Infinium 7k SNP array

This study utilizes a 7K SNP array and socioeconomic analysis to characterize the genetic diversity, population structure, and farmer selection criteria of 79 rice accessions in Benin, revealing moderate variability, distinct genetic groups with evidence of introgression, and a strong alignment between breeding priorities and farmer preferences.

Paulin SEDAH, Azize OROBIYI, Michel GBONAMOU, Arnaud Comlan GOUDA, Sanaba BOUMBALY, Phillipe CUBRY, Lambert Gustave DJED (…)2026-09-10
📄 agriculture

Comparative Evaluation of Downstream Recovery Methods for Efficient Extraction of Sophorolipids from Starmerella bombicola MTCC 1910 at Pilot-Scale Fermentation

This study demonstrates the industrial feasibility of sophorolipid production by successfully scaling up fermentation of *Starmerella bombicola* MTCC 1910 to a 100 L pilot scale and evaluating four downstream recovery methods, ultimately identifying solvent extraction and dried broth-assisted solvent extraction as effective strategies for obtaining high-titer, high-quality biosurfactants.

Ninad Mhatre NM, Deepak Sonawane DS, Jagruti Jadhav JJ, Vivek Gaval VG, Amit P. Pratap2026-09-10
📄 agriculture

Multi‑Sensor Deep Learning for Smallholder Paddy Rice Mapping with Sentinel‑1 SAR and Sentinel‑2 Optical Imagery

This study demonstrates that an ensemble of U-Net and PSPNet deep learning models, trained on fused multi-temporal Sentinel-1 SAR and Sentinel-2 optical data, achieves high-accuracy mapping of fragmented smallholder paddy rice fields by leveraging multi-scale contextual reasoning and phenological growth stages.

Alex Okiemute Onojeghuo, Ajoke Ruth Onojeghuo2026-09-10
📄 agriculture

Design and Performance Testing of a Tractor-Integrated Corn Seed Planter on Performance Parameters and Planting Accuracy

This paper presents the design and field testing of a tractor-integrated corn seed planter, demonstrating that an operating speed of 4.5 km/h yields the optimal balance between work capacity (0.45 ha/h) and high planting accuracy (92.4% distance index), whereas higher speeds significantly compromise precision due to wheel slippage.

Ansar A, Hery Haryanto, I Wayan Joniarta2026-09-09
📄 agriculture

Assessment of Sewage Sludge Application with Beneficial Microbial Inoculants on Fenugreek Productivity in Sandy Loam Soil

This study demonstrates that co-applying urban sewage sludge with bio-inoculants, particularly in combination with 100% NPK and rhizobium, significantly enhances nutrient availability, vegetative growth, and seed yield of fenugreek in sandy loam soil, offering a sustainable strategy to boost agricultural productivity while maintaining environmental safety.

Raj Sharma, Neha Kumari, Raghvendra Kumar Kushwaha, Jugul Kishor Tiwari, Anurag Singh Suman, Anamika Singh2026-09-09
📄 agriculture

Spatial Assessment of Biophysical Suitability for Climate-Smart Agriculture across Nigeria

This study utilizes an integrated GIS and Multi-Criteria Decision Analysis framework to map Nigeria's biophysical suitability for Climate-Smart Agriculture, revealing a pronounced south–north gradient where over 80% of the country exhibits low to very low suitability, thereby providing a critical baseline for targeted climate adaptation and agricultural planning.

Bimbola Rasheed Bashorun, Lanre Tajudeen Ajibade, Toluwalope Mubo Agaja, Davies Ojo Ajewole2026-09-09
📄 agriculture

A Physics-Inspired Lightweight Multimodal Network for Robust Winter Wheat LAI Estimation under Spectral Saturation Conditions

This study proposes HFI-Net, a lightweight physics-inspired dual-stream network that integrates RGB texture and vegetation index features via attention-guided interactions to achieve robust, high-accuracy winter wheat LAI estimation under spectral saturation conditions while significantly reducing computational costs compared to traditional deep learning models.

Shihao Mei, Yusheng Cheng, Chundu Wu, Lulu Zhang, Xiaowen Wang2026-09-09