PROBES snapshot: Vision2Biomass, quantifying crop residue retention

Patil, M D and Grecia, B and Daniel, J R (2025) PROBES snapshot: Vision2Biomass, quantifying crop residue retention. Monograph. ICRISAT, Patancheru.

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Global Research Program - Resilient Farm and Food Systems

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UNSPECIFIED

Abstract

This one-page brief, developed by the Digital Transformation Accelerator (DTA) team at the Alliance of Bioversity International and CIAT, is based on the Vision2Biomass probe led by Patil Mukund, Senior Scientist - Soil Physics at ICRISAT. The probe explores how computer vision and machine learning can be used to estimate crop residue and biomass from field images, supporting more accurate and scalable monitoring of residue management practices. By automating visual assessment, the approach aims to reduce reliance on manual measurements and improve the availability of timely data for climate-smart agriculture and sustainable land management. Implemented as an early-stage, safe-to-fail experiment, the probe focuses on understanding the accuracy, feasibility, and limitations of image-based biomass estimation in real-world conditions. The brief synthesizes early insights to inform future development and potential integration of computer vision tools within CGIAR research and monitoring systems.

Item Type:	Monograph (Monograph)
Divisions:	Global Research Program - Resilient Farm and Food Systems
CRP:	UNSPECIFIED
Series Name:	Probes
Uncontrolled Keywords:	biomass, climate-smart agriculture, crop residues, artificial intelligence, computer vision
Subjects:	Others > Climate Smart Agriculture (CSA) Others > Digital Agriculture
Depositing User:	Mr Nagaraju T
Date Deposited:	09 Feb 2026 08:37
Last Modified:	09 Feb 2026 08:37
URI:	http://oar.icrisat.org/id/eprint/13470
Links:	Google Scholar

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