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Sterile sentinels and MinION sequencing capture active soil microbial communities that differentiate crop rotations
BackgroundSoil microbial communities are difficult to measure and critical to soil processes. The bulk soil microbiome is highly diverse and...
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Assessing accuracy of crop water stress inversion of soil water content all day long
There is growing interest in using canopy temperature (Tc), including crop water Stress index (CWSI), for irrigation management. However, Tc varies...
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Stress Physiology and Preparation of Appropriate Crop Plans for Dry Land Areas and Mid Contingent Crop Plan for Aberrant Weather Conditions
Water stress influence the crop plants by affecting water relations, photosynthesis, respiration, anatomical changes, metabolic reaction, hormonal...
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Review of applications of artificial intelligence (AI) methods in crop research
Sophisticated and modern crop improvement techniques can bridge the gap for feeding the ever-increasing population. Artificial intelligence (AI)...
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Efficient Patch-Wise Crop Detection Algorithm for UAV-Generated Orthomosaic
Effective image segmentation is essential for extracting semantic information and performing comprehensive analytics on the collected data. This...
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Effect of Agricultural Technology Elements on the Crop Structure and Productivity of Spring Wheat Variety Beiskaya
AbstractThe research was performed to study the effect of agricultural technology elements on the crop structure and productivity of spring wheat of...
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Plant Functional Traits in Crop Breeding: Advancement and Challenges
Plant functional traits have emerged as crucial factors in crop breeding, offering a pathway to address the multifaceted challenges facing...
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Process-Based Modelling of Soil–Crop Interactions for Site-Specific Decision Support in Crop Management
Spatial variation within fields influences soil water, nutrient and crop growth dynamics. Depending on climatic conditions, spatial patterns of yield...
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Influence of Decomposed Stubble Return on the Soil Microbial Community Under Perennial Crop Rotation
The aim of this study was to understand how the application of decomposed stubble return (DSR), a type of bio-organic fertilization, affects soil...
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Design, Development, and Optimization of Sustainable Pyrolyzer for Biochar Production from Agricultural Crop Residue
This article presents an energy-efficient biochar kiln that produces biochar from agricultural crop residues. The kiln is designed to be easy to...
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Crop Residue Recycling Affecting Carbon Sequestration, Nutrients Availability and Crop Yields in Rice–Wheat and Sugarcane–Ratoon–Wheat System
The field experiment was conducted during 2016–2018 and 2018–2020 at the ICAR-Indian Institute of Sugarcane Research, Lucknow (IISR) research farm....
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Generic optimization approach of soil hydraulic parameters for site-specific model applications
Site-specific crop management is based on the postulate of varying soil and crop requirements in a field. Therefore, a field is separated into...
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Do cover crop mixtures improve soil physical health more than monocultures?
Rationale and PurposeAdding multispecies cover crop (CC) mixtures could diversify the current simplified crop rotations and enhance soil health more...
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Recent Techniques Used in Characterization of Crop Microbiomes
Research on the microbiome in modern agriculture has become very important to understand the interactions between microorganisms and their host crop...
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Biomass Technologies for Crop Residue Management
In India, large-scale agricultural farming practices are continuously performed from man immemorial. During crop harvesting, a huge quantity of its...
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Crop Responses to High Temperature Stress
Plants face a variety of temperatures in their whole life cycle and require continuous adaptation on diurnal and periodic levels. The different...
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Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks
BackgroundImage-based crop growth modeling can substantially contribute to precision agriculture by revealing spatial crop development over time,...
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iCrop: a framework for identification of millet crop diseases via segmentation and feature extraction
Crop diseases are important in agricultural productivity and quality. It is essential to recognise and diagnose these diseases. Deep learning’s...
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Intercrop** efficiently utilizes phosphorus resource in soil via different strategies mediated by crop traits and species combination
Background and aimsUnderstanding how long-term intercrop** and phosphorus (P)-fertilizer application affect soil P fractions through P-acquisition...
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Efficient Water Management Tactics for Mitigating Fruit Crop Diseases
Effective water management is crucial for maintaining health and productivity of fruit crops by addressing challenges posed by soil pathogens. The...