A5086513444- Remote Sensing in Agriculture
- Agricultural Economics and Practices
- Flood Risk Assessment and Management
- Land Use and Ecosystem Services
- Seed and Plant Biochemistry
- Climate change impacts on agriculture
- Agricultural Systems and Practices
- Agricultural risk and resilience
- Soil and Land Suitability Analysis
- Soybean genetics and cultivation
- Smart Agriculture and AI
- Groundwater and Watershed Analysis
- Agricultural pest management studies
- Climate variability and models
- Remote Sensing and Land Use
- Potato Plant Research
- Leaf Properties and Growth Measurement
- Agricultural Innovations and Practices
- Rice Cultivation and Yield Improvement
- Phytochemicals and Antioxidant Activities
- Postharvest Quality and Shelf Life Management
- Agronomic Practices and Intercropping Systems
International Crops Research Institute for the Semi-Arid Tropics
2016-2024
This study underscores the critical importance of accurate crop yield information for national food security and export considerations, with a specific focus on wheat estimation at Gram Panchayat (GP) level in Bareilly district, Uttar Pradesh, using technologies such as machine learning algorithms (ML), Decision Support System Agrotechnology Transfer (DSSAT) model semi-physical models (SPMs). The research integrates Sentinel-2 time-series data ground to generate comprehensive type maps....
Cropland fallows are the next best-bet for intensification and extensification, leading to increased food production adding nutritional basket. The agronomical suitability of these lands can decide extent usage lands. Myanmar's agricultural land (over 13.8 Mha) has potential expand by another 50% into additional fallow areas. These areas may be used grow short-duration pulses, which economically important nutritionally rich, constitute diets millions people as well provide an source...
In 2014, the State of Telangana in southern India began repairing and restoring more than 46,000 irrigation water tanks (artificial reservoirs) under Mission Kakatiya project with an investment excess USD 2 billion. this study, we attempted to map temporal changes that have occurred cropland areas bodies as a result project, using remote sensing imagery applying land use/land cover (LULC) mapping algorithms. We used 16-day time series data from Landsat 8 study spatial distribution over...
Given the wide use of multi-climate model mean (MMM) for impact assessment studies, this work examines fidelity Coupled Model Intercomparison Project Phase 5 (CMIP5) in simulating features Indian summer monsoons as well post-rainy seasons assessing possible impacts climate change on season sorghum crop yields across India. The MMM simulations captured spatial patterns and annual cycles rainfall surface air temperatures. However, bias was observed precipitation amounts daily intensity. trends...
The objective of this study was to map the temporal changes in chickpea cropped area over last decade Andhra Pradesh using remote-sensing imagery. Moderate Resolution Imaging Spectroradiometer (MODIS) data composited for every 16 days were used spatial distribution seasonal crop extent Pradesh. MODIS derived day normalized difference vegetation index (NDVI) and maximum value composite (MVC) with ground survey information years 2005–2006 2012–2013 used. A subset also assess pixel-based...
The lower catchment area of a Mak Hiao river system is vulnerable to flash floods and water stress. So it important construct irrigation structures in this minimize during the rainy season store for winter season. Asian Development Bank (ADB) has been supporting Government Laos constructing such small reservoirs like Donkhuay schemes 1 & 2, Hiao, Nalong 3 Sang Houabor projects areas. Our study evaluated impacts terms land-use/land-cover (LULC), crop intensity, productivity changes, using...
Dryland crops are highly prone to various stresses such as water stress (drought) and heat stress. The identification of stress-prone regions is crucial for effective efficient implementation appropriate solutions, stress-tolerant crop varieties. This study was conducted in Rajasthan state located North-western India. predominantly a rainfed pearl millet ecosystem (> 50% during monsoon season) productivity the lowest India with significant decline its cultivated area. present tried analyse...
Identifying suitable watersheds is a prerequisite to operationalizing planning interventions for agricultural development. With the help of geospatial tools, this paper identified across Nigeria using biophysical parameters aid planning. Our study included various critical thematic layers such as precipitation, temperature, slope, land-use/land-cover (LULC), soil texture, depth, and length growing period, prepared modeled on Google Earth Engine (GEE) platform. Using expert knowledge, scores...