The Dismal Harvest: The Uneven Landscapes of AI in Agriculture
ABSTRACT In this intervention, I examine artificial intelligence (AI) in agriculture through a political ecology lens, analysing how promises of productivity, efficiency, and sustainability take shape across uneven postcolonial landscapes. Building on feminist and critical agrarian perspectives, I focus on the material relations of farming to show that
Katarzyna Cieslik
wiley +1 more source
Impacts of Climate, Organic Management, and Degradation Status on Soil Biodiversity in Agroecosystems Worldwide. [PDF]
Sánchez-Cueto P +28 more
europepmc +1 more source
Root trait dynamics of historical canola varieties under low and high nitrogen supply
Abstract Nitrogen fertilizer is a major input cost in crop production, making it crucial to enhance nitrogen use efficiency (NUE) to reduce fertilizer dependence without compromising yields. Root system architecture (RSA) is a key determinant of nutrient acquisition, particularly under nutrient‐limited conditions.
Shankar Pahari, Raju Soolanayakanahally
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Functional traits driving invasion risk and potential distribution of alien plants in oasis agroecosystems. [PDF]
Dong S +5 more
europepmc +1 more source
Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe +3 more
wiley +1 more source
Editorial: Plant mineral microbe interactions. [PDF]
Mumtaz MZ +4 more
europepmc +1 more source
Abstract Agricultural systems are vulnerable to extreme weather, market volatility, and changing socio‐cultural contexts. Despite efforts to create transformational solutions in agriculture to ensure economic, social, and environmental sustainability, there is often a disconnect between research findings and real‐world experience.
Alison J. Duff +2 more
wiley +1 more source
Advances in Micro- and Macrobiological Strategies for Pest Control in Berry Production Systems: A Critical Review. [PDF]
Gutiérrez-Cárdenas OG +8 more
europepmc +1 more source
Machine learning‐based prediction of cereal rye cover crop biomass across diverse agroecosystems
Abstract Accurate operational predictions of cereal rye (Secale cereale L.) biomass are critical for quantifying the agroecosystem services provided by cover crops and for guiding growers’ management decisions for subsequent cash crops. In this study, we developed machine learning‐based biomass prediction models using two advanced gradient‐boosted tree
Utsab Ghimire +6 more
wiley +1 more source
Arbuscular mycorrhizal networks-A climate-smart blueprint for agriculture. [PDF]
Wang L +16 more
europepmc +1 more source

