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Agriculture field notes

Practical guides to smart agriculture, crop intelligence, agricultural GIS, satellite monitoring, and field verification.

122 articles · Page 4 of 11

Footpath through a coffee plantation on the Camino de Costa Rica

Coffee soil erosion and ground-cover mapping

Map slope, paths, exposed soil, drainage lines, and ground cover, then inspect signs of runoff after rain. Consider how shade and intercropping change visibility from above.

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Shade trees above a coffee plantation in Chikmagalur, India

Coffee drought-response monitoring across shaded farms

Compare soil-moisture observations, rainfall, shade structure, and crop stage across representative farms. Interpret canopy changes within similar shade and elevation conditions.

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Coffee farmers handling harvested cherries on a raised drying tray

Coffee traceability from farm polygon to harvest lot

Agree on how a harvest lot relates to one or more farms and preserve the dates and handling stages. Use stable farm codes rather than names that may be repeated or misspelled.

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Harvested coffee cherries from the Anaimalai Hills, India

Coffee yield estimation: a responsible data pathway

Choose the target carefully: fruit counts, fresh cherry mass, processed beans, and saleable output are different measurements. Design ground sampling around shade, cultivar, and harvest rounds.

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Tea plantation rows near Ciwidey, Bandung, Indonesia

Tea plucking-table monitoring from aerial imagery

Compare tea blocks with the same pruning history and plucking stage. Check whether the image captures the crop surface consistently and whether paths or shade contaminate block summaries.

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Tea rows covering a plantation hillside

Tea pruning-cycle records and satellite interpretation

Align each image with the block's pruning cycle and recovery observations. Keep recently pruned blocks in their own comparison group until their canopy has redeveloped.

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Tea fields and vegetable plots in the Nilgiri hills, India

Tea plantation drainage and wet-area investigation

Review drainage paths, rainfall, standing-water observations, and changes in the tea canopy. Inspect both the affected area and the upstream structures that might influence it.

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Tea plantation and access road in Munnar, India

Tea field-access planning on steep terrain

Map paths, steps, collection points, slope breaks, and the access needs of workers and equipment. Verify the route with the people who use it during wet and dry conditions.

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Tea plantation rows extending across a hillside landscape

Tea canopy nutrition indicators and leaf-analysis records

Compare like-for-like plucking and pruning stages, then connect image patterns to the field team's soil and leaf analyses. Record fertiliser timing and recent weather.

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Tea plantation landscape in Cianda, Kiambu County, Kenya

Tea plant-gap inspection using drone orthomosaics

Define a gap according to the management question and inspect its relation to the tea rows, paths, drains, and pruning areas. Use imagery with sufficient detail for that definition.

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Tea plantations and surrounding forest near Coonoor, India

Tea smallholder clusters and shared spatial records

Maintain individual farm identities while building a shared overview of collection areas and support visits. Define which data may be shared among farmers, collectors, and advisers.

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Tea plantations and trees near Haputale, Sri Lanka

Tea production planning with weather and field observations

Combine dated plucking records, pruning plans, weather observations, and field reports in a planning discussion. Show the period and completeness of each series.

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