We propose a robust and parametric–parsimonious framework to design the agricultural water balance at the planning level. The methodology is based on Melisenda’s climate index, Benfratello’s water ...

<p id="p1">Combining satellite-based remote sensing, agroclimatic modeling, and crop-specific biophysical indicators, this work presents an integrated and scalable methodology for agricultural and cli...

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Efforts to anticipate and adapt to future climate can benefit from historical experiences. We examine agroclimatic conditions over the past 50 y fo...

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The relationship between humans and the natural environment is shaped by the perception, utilization, and management of natural resources. In the Mediterranean region, the cultivation of resources has...

Compute 35+ standard climate indices from daily weather observations. Includes temperature indices (frost days, ice days, growing degree days), precipitation indices (dry spells, heavy precipitation, intensity), drought indices (Standardized Precipitation Index, Standardized Precipitation-Evapotranspiration Index), agroclimatic indices (Huglin, Winkler, Branas), and comfort indices (wind chill, heat index, humidex, fire danger). All functions accept vectors of observations with dates and return tidy data frames with metadata. Implements the 'ET-SCI' Expert Team on Sector-specific Climate Indices definitions where applicable. No external API calls; pairs with data packages such as 'readnoaa' for acquisition.

Quinoa (Chenopodium quinoa Willd.) is a nutritionally valuable crop adapted to adverse agroclimatic conditions, but its production in arid regions such as th...

Climate intervention could benefit rainfed wheat more than irrigated crops in India, with regional differences for rainfed rice Climate intervention could maintain temperatures in all growth stag...

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Efforts to anticipate and adapt to future climate can benefit from historical experiences. We examine agroclimatic conditions over the past 50 y fo...

Efforts to anticipate and adapt to future climate can benefit from historical experiences. We examine agroclimatic conditions over the past 50 y fo...

Compute 35+ standard climate indices from daily weather observations. Includes temperature indices (frost days, ice days, growing degree days), precipitation indices (dry spells, heavy precipitation, intensity), drought indices (Standardized Precipitation Index, Standardized Precipitation-Evapotranspiration Index), agroclimatic indices (Huglin, Winkler, Branas), and comfort indices (wind chill, heat index, humidex, fire danger). All functions accept vectors of observations with dates and return tidy data frames with metadata. Implements the 'ET-SCI' Expert Team on Sector-specific Climate Indices definitions where applicable. No external API calls; pairs with data packages such as 'readnoaa' for acquisition.

Fondé par Serge Zaka, Agroclimat 2050 est un cabinet d’étude dédié à l’évolution du climat et l’adaptation du milieu agricole.

Efforts to anticipate and adapt to future climate can benefit from historical experiences. We examine agroclimatic conditions over the past 50 y fo...

MAS Seeds uses data science, AI, and agroclimatic modeling to accelerate hybrid variety development, improving resilience, yield, and sustainability for farmers.

A shifting climate has made farming in Guatemala’s eastern Dry Corridor and western highlands a gamble. Erratic rainfall, prolonged dry spells, and unpredictable weather have eroded the harvests that families depend on. An enduring pain point has been the lack of timely, trustworthy, local climate information. Guatemala’s Local Technical Agroclimatic Committees (known by its Spanish initials “MTA”), a CGIAR innovation, is helping to close that gap. Developed in 2015 and scaled across Guatemala since 2017, MTAs bring together meteorologists, government agencies, scientists, and farmers to turn seasonal forecasts into plain-language advice, delivered through printed bulletins, WhatsApp, Facebook, and radio. The guidance is specific, e.g.: when to plant maize or beans, which varieties to choose, and how to time fertilizer applications, conserve soil moisture, and protect livestock against disease. In 2025, a CGIAR Scaling Fund investment sharpened and expanded the model. The team used farmer interviews and workshops to redesign recommendations around what communities actually needed and how they preferred to receive them. "These refined bulletins integrate seasonal forecasts, local observations, and farmer knowledge into location-specific recommendations," says Carlos Navarro Racines of CGIAR's Alliance of Bioversity International and CIAT. "They're helping smallholders make informed decisions and reduce their climate risks." Expanding...

Huillca, J., Segura, B. & Álvarez, A. Quinoa expansion in Peruvian departments and land use change before the health crisis. Agric. Sci. 12, 827–843 (2021). Bazile, D., Bertero, D. & Nieto, D. State of the Art Report on Quinoa - Around the World in 2013. (2015). Alandia, G., Rodriguez, J. P., Jacobsen, S. E., Bazile, D. & Condori, B. Global expansion of quinoa and challenges for the Andean region. Glob. Food Secur. https://doi.org/10.1016/j.gfs.2020.100429 (2020). Rizvi, M. A. et al. Cultivation of new emerging agro-nutritional crop of quinoa at Madinat al-Hikmah Karachi, Sindh. Pakistan. The Open Plant Science Journal 10, 70–81 (2017). Stikic, R. et al. Agronomical and nutritional evaluation of quinoa seeds (Chenopodium quinoa Willd.) as an ingredient in bread formulations. J. Cereal Sci. 55, 132–138 (2012). SENASA. Ficha Técnica de La Quinua. https://prod4.seace.gob.pe/documentos//documentos/FichaSubInv/475448704radEE4A4.pdf (2023). Jacobsen, S. E., Mujica, A. & Jensen, C. R. The resistance of quinoa (Chenopodium quinoa Willd.) to adverse abiotic factors. Food Rev. Int. 19, 99–109 (2003). Repo-Carrasco, R., Espinoza, C. & Jacobsen, S. E. Nutritional value and use of the Andean crops quinoa (Chenopodium quinoa) and kañiwa (Chenopodium pallidicaule). Food Rev. Int. 19, 179–189 (2003). Ruiz, K. B. et al. Quinoa biodiversity and sustainability for...