Agnigangamma Temple plot

Where

The exact plot

Traced from the map screenshot you marked. Each screenshot was fitted onto close-up aerial photos by matching roads, ponds and tree clumps, to within about 1 m (how this works). Only 10 m squares whose centre is inside the outline count towards the crop numbers.

Where it is. The plot is on the north side of the village road. The Agnigangamma Temple is opposite, on the south side (public map listing, plus code X768+5R7). The plot's centre is about 167 m north-north-west of the temple. The marked map was turned about 113°, so the top of that map is really west. A stream with a line of trees runs along the north-east edge. The earlier rough squares are kept in the old snapshot (not updated). About three-quarters of this outline fell in the north-north-east square. The square to the true west is ruled out.

Field	Centre (map position)	Size	Number of 10 m squares	How sure we are
Temple plot (north of the road)	18.96188 N, 83.26674 E	7.47 ha 18.45 acres	747 (682 fully inside)	Position: sure. Edges: fairly sure (traced from a hand-drawn ring; area could be about 10% off). It may cover more than one person's land.

Outline of the Agnigangamma Temple plot on a close-up aerial photo — **How to read this:** the coloured line is the field outline FarmBot uses. Close-up aerial photo, north at the top. Photo: Esri World Imagery (Esri, Maxar, Earthstar Geographics); date of the photo not stated.

Satellite photo of the Agnigangamma Temple plot in normal colour — **How to read this:** each tiny square of colour is 10 m across. The photo is much blurrier than the aerial photo above. Normal-colour satellite photo, 23 Oct 2026, north at the top, with the outline.

Greenness map of the Agnigangamma Temple plot — **How to read this:** green = leafy, healthy crop; yellow = thinner; red = bare soil or no plants. The scale runs from about 0.2 to 0.9. Greenness map, 23 Oct 2026, with the outline.

Crop health · greenness inside the outline

The crop's year, month by month

Built from 105 cloud-free satellite photos (at least 60% of the squares inside the outline were clear of cloud). The labels say what the greenness shows. They are not records of work done in the field. Seen by satellite Technical name: NDVI and phenology

Oct
25

Nov
25

Dec
25

Jan
26

Feb
26

Mar
26

Apr
26

May
26

Jun
26

Jul
26

Aug
26

Sep
26

Oct
26

fully green crop (0.65 or more)ripening or harvested (greenness falling)dry or empty field (under 0.4)young crop growing (0.4–0.65)too cloudy to see (fewer than 2 clear photos)

How to read this: each box is one month, from October 2025 to October 2026. Its colour shows what the field mostly looked like from space that month.

2025 monsoon crop at its greenest (smoothed)	0.82 on about 16 Oct 2025
Ripening started: greenness fell below 0.7	2 Nov 2025
Mostly harvested: greenness fell below 0.5	22 Nov 2025
Lowest point in the dry season (smoothed)	0.21 on about 25 Mar 2026
2026 crop half-way green (rough)	about 25 Jun 2026
September 2026, middle value	0.73
Latest cloud-free photos	16 Oct: 0.88, 21 Oct: 0.87, 23 Oct: 0.87

Harvested or ripening?

Not harvested. On 23 Oct the plot's middle greenness was 0.87, and 100% of its squares scored above 0.6. That is as green as it gets. In 2025 its smoothed greenness fell below 0.7 about 10 days before the pond fields.

The satellite also shows a short green spell in late April and early May 2026 (middle value up to about 0.57). It was gone by mid-May. It could be a summer crop, weeds or a seedling nursery. Only someone on the ground can say.

Greenness over time for the exact plots — **How to read this:** higher line = greener, healthier crop. The big fall in Nov–Dec 2025 is last year's harvest. The low, flat part (Jan–Apr) is the dry season. The rise from June is this year's crop. Greenness inside each outline. Dots are single cloud-free photos. The line is smoothed. The shaded band shows where the middle half of the squares fell. Blue is pond field A, light green is pond field B, orange is the temple plot.

Inside the field · 10 m squares

Is any part of the field always weaker? Experimental

Each 10 m square fully inside the outline is compared with the field's middle value on the same day. This uses the cloud-free photos of 1–23 October, in both 2025 and 2026. A real weak patch would be low in both years.

Map of weaker and stronger squares — **How to read this:** green squares were greener than the field middle, red squares less green. A ring marks a square that was in the lowest 20% in both years. Average of both Octobers.

Result: no weak patch

Temple plot (north of the road): 637 squares tested. Year-to-year match score: -0.32. 14 square(s) were in the lowest 20% in both years (2%, against about 4% you'd expect by chance).

The squares that were low in one year are not the ones that were low in the other. So FarmBot does not claim a weak patch. Technical name: weak-zone check with Spearman rank correlation

Soil · from a world soil map

What the soil is probably like Estimate

A slightly sour (acidic) clay-loam (a fairly heavy, sticky soil), with pH 6.2–6.3. (pH 7 is neutral; lower is more sour.) The values are read at the centre of the plot. They come from a world soil map that predicts soil on 250 m squares, much bigger than the fields. Get a Soil Health Card or a lab test before deciding on fertiliser. Technical name: ISRIC SoilGrids 2.0

What	Top 5 cm	5–15 cm deep	15–30 cm deep
Clay (%; sticky, fine particles)	27.4	29.2	32.6
Sand (%; gritty, coarse particles)	39.2	37.8	35.2
Silt (%; smooth, middle-sized particles)	33.5	33.0	32.2
Sourness (pH) (scale 0–14; below 7 is slightly sour, or acidic)	6.2	6.3	6.3
Organic matter (carbon) (grams per kg; from rotted plants; more is better)	28.2	17.1	11.5
Total nitrogen (grams per kg; a main plant food)	1.9	1.57	1.06
Nutrient-holding power (a lab unit, cmol(c)/kg; technical name: CEC)	19.4	17.5	17.2
How tightly packed (grams per cm³; technical name: bulk density)	1.3	1.31	1.36

Please read with care

FarmBot is an experiment. For now it uses satellites only. Always trust what you see in the field first.
The field outlines are traced by hand, not surveyed. They were drawn from the maps you marked and lined up with close-up aerial photos (to within about 1–2 m). The edges are right to about 5–10 m.
The photos are coarse. Each 10 m square is one dot of colour. The two pond fields hold only about 100 and 40 of these squares, and many mix in bunds and the next field. So detail inside a field is only a rough hint.
Clouds hide the monsoon. In July and August there were only one or two cloud-free photos. So the satellite can't tell when transplanting happened.
Soil and weather numbers are computer estimates, not measurements on these fields. Areas are approximate.