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Featured this week

From the current archive

One paper the editorial team is reading closely this week, chosen for rigor and clarity.

Economics of Onion Production in Jaipur District of Rajasthan

A cost-of-cultivation survey of 75 onion growers in Jaipur found the pattern running the wrong way for smallholders: the smallest farms spent the most per hectare (Rs 57,437 against Rs 50,466 on large farms), harvested the least, and produced a quintal of onion for Rs 187.5 where large farms managed Rs 142.1.

  • Total cost of cultivation (cost C2) ran inversely to farm size: Rs 57,437.3/ha on small farms, Rs 52,809.0 on semi-medium, Rs 50,466.4 on large and least of all Rs 49,223.1 on medium farms, against an overall average of Rs 52,513.1/ha across the 75 sampled growers.
  • Because small farms also recorded the lowest bulb yield (306.4 q/ha against 355.2 q/ha on large farms), the cost of producing one quintal of onion was Rs 187.5 on small farms and only Rs 142.1 on large — a 32 per cent penalty — and the return per rupee of expenditure rose monotonically with size: 2.37, 2.63, 2.98 and 3.13.
  • Operational cost accounted for 74.3 per cent of total cost overall, and human labour alone for 36.0 per cent (Rs 18,922.7/ha) — the single largest item in onion cultivation. Small farms spent Rs 21,270.4/ha on human labour and Rs 8,097.7/ha on seed and nursery raising, against Rs 17,427.6 and Rs 5,537.3 respectively on large farms. Rental value of owned land was the dominant overhead item at 23.8 per cent of total cost.
  • Over the full 1981-2010 series, area, production and productivity of onion in Jaipur grew at 2.99, 4.14 and 1.11 per cent per annum, with area contributing more than productivity. That growth was not continuous: the final decade (2000-01 to 2009-10) recorded negative compound growth on all three counts (-7.94, -12.43 and -4.88 per cent per annum), which the author attributes to acute groundwater shortage for irrigation under erratic rainfall.
Vikash Sharma, Yogendra Singh, S. K. Singh, Stuti Sharma, Kanchan Bhan, and Chandrabhan Ahirwar· Researcher, Department of Genetics and Plant Breeding · College of Agriculture, Jawaharlal Nehru Krishi Vishwa Vidyalaya (JNKVV), Jabalpur, Madhya Pradesh

Qualitative Morphological Characterisation and Assessment of Genetic Diversity among Indigenous Landraces of Rice (Oryza sativa L.)

Surveying 254 rice accessions from Madhya Pradesh against 30 standardised DUS descriptors, researchers found near-total uniformity in basic leaf traits but the widest variation of the whole study in awn length — a practical shortlist of traits for telling indigenous landraces apart.

Genetics and Plant BreedingIndiaRiceGermplasm Conservation
Arvind M, Thippesha B S, Prashanthi S K, Raghunandana A, Hiremath SV, and Jones P Nirmalnath· Researcher, Department of Plant Pathology · University of Agricultural Sciences, Dharwad, Karnataka

Molecular Characterization and Biocontrol Potential of Native Rhizobacteria Against Rhizoctonia solani in Rice

Screening 32 native soil bacteria from Karnataka rice fields, researchers found two Streptomyces strains that cut sheath blight severity as effectively as a chemical fungicide — with hydrogen cyanide and iron-starving siderophores identified as their weapons against the fungus.

Plant PathologyBiocontrolIndiaRiceSustainable Agriculture
Muhammad Waqar, Mariyam Shahid, Manat Chaijan, Worawan Panpipat, Djilali Benabdelmoumene, Ahmed Mediani, Abdifetah Ibrahim Omar, Sabrin R. M. Ibrahim, Qudrat Ullah, and Temesgen Anjulo Ageru· Researcher, Food Technology and Innovation Research Center of Excellence · School of Agricultural Technology and Food Industry, Walailak University, Tha Sala

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

A sweeping review of AI in food production finds hyperspectral-imaging quality checks hitting up to 100% accuracy and predictive maintenance cutting downtime 30% — yet food remains the least robotic-adopting industrial sector of all, at just 5% penetration.

Food ScienceAgri Data ScienceArtificial IntelligenceFood Safety
Aruna Balla, Suresh Mudragiri, Mallikarjun Kukunuri, and Prashant Bagade· Researcher · Niruthi Climate & Ecosystem Private Limited, Hyderabad, Telangana

Impact of West-Asia War on Indian Agriculture

India's fertiliser sector runs on Gulf-region gas and imported potash and phosphate — so when the 2026 West-Asia conflict shut down Strait of Hormuz shipping, urea prices jumped over 75% in a year, even as India entered the season with unusually large stockpiles cushioning the immediate blow.

Farm EconomicsFertiliser MarketsIndiaFood SecuritySupply Chains
Field notes

The research, explained

Plain-language write-ups of published papers — the story behind the data, for readers who want the gist before the PDF.

Field notes7 min read

What 254 Rice Varieties Reveal About Hidden Genetic Diversity

Researchers in Madhya Pradesh scored 254 rice accessions on 30 standardised traits and found that while nearly every plant looked the same at the leaf, the length and colour of the awn told them apart better than anything else.

Field notes8 min read

The Soil Bacteria That Fight Rice Disease as Well as a Fungicide

Researchers in Karnataka screened 32 native soil bacteria pulled straight from healthy rice fields and found two that matched a chemical fungicide's performance against sheath blight — by starving the fungus of iron and choking its ability to make energy.

By Arvind M, Thippesha B S, Prashanthi S K, Raghunandana A, Hiremath SV, and Jones P NirmalnathFrom the paper: Molecular Characterization and Biocontrol Potential of Native Rhizobacteria Against Rhizoctonia solani in Rice
Field notes9 min read

Food Manufacturing Is the Least Robotic Industry — and That's Changing

A ten-author review of AI across the food industry finds quality-inspection systems already hitting near-perfect accuracy and predictive maintenance cutting downtime by a third — while robots have barely touched the factory floor at all, at just 5% penetration versus 33% in assembly plants.

By Muhammad Waqar, Mariyam Shahid, Manat Chaijan, Worawan Panpipat, Djilali Benabdelmoumene, Ahmed Mediani, Abdifetah Ibrahim Omar, Sabrin R. M. Ibrahim, Qudrat Ullah, and Temesgen Anjulo AgeruFrom the paper: Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork
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