ABSTRACT Perennial bioenergy crops, such as miscanthus and switchgrass, and crop residues have the potential to scale up sustainable aviation fuel (SAF) production and mitigate carbon emissions. However, high establishment costs, delayed returns, and risk–return profiles that diverge from those of conventional crops can hinder incentives to adopt ...
Fahd Majeed, Madhu Khanna, Ruiqing Miao
wiley +1 more source
Development and Field Validation of a Smartphone-Based Web Application for Diagnosing Optimal Timing of Mid-Season Drainage in Rice Cultivation via Canopy Image-Derived Tiller Estimation. [PDF]
Aoki Y +3 more
europepmc +1 more source
Did the Indian Green Revolution Change the Farm Size–Productivity Relationship?
ABSTRACT We examine the relationship between farm size and productivity during India's Green Revolution, a period of rapid technological transformation. Using a unique panel of over 5000 Indian farm households that spans the Green Revolution (1971–1999), we show that the classic (linear) inverse farm size–productivity relationship gradually evolved ...
Rabail Chandio, Leah E. M. Bevis
wiley +1 more source
Elevation-dependent productivity trade-offs in wild <i>Elymus sibiricus</i> populations across the Qinghai-Tibet Plateau zone. [PDF]
Niu YL, Qin Y.
europepmc +1 more source
Markets Mitigate Land‐Use Competition From Energy Crops and Increase Farm Revenues
ABSTRACT Meeting the US Sustainable Aviation Fuel Grand Challenge target of 35 billion gal annually by 2050 will require an estimated 380 million–700 million dry tons of agricultural biomass feedstock. This study evaluates the implications of large‐scale biomass production for land use, crop production, and market outcomes under mature market ...
Daniel G. De La Torre Ugarte +2 more
wiley +1 more source
Transcriptome and metabolome analyses reveal the roles of APX2 in regulating tiller growth and metabolism in rice (Oryza sativa L.). [PDF]
Liu X, Wang L, Qiu P, Wu B, Liu W.
europepmc +1 more source
Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu +2 more
wiley +1 more source
Responses of leaf anatomy, growth, and physiology in backcross 1 progeny from <i>Saccharum</i> spp. hybrids and <i>S. spontaneum</i> under drought stress at early growth phase. [PDF]
Wiangwiset K +2 more
europepmc +1 more source
ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah +4 more
wiley +1 more source

